id	sid	tid	token	lemma	pos
cana-3438	1	1	communications	communication	NOUN
cana-3438	1	2	on	on	ADP
cana-3438	1	3	applied	apply	VERB
cana-3438	1	4	nonlinear	nonlinear	ADJ
cana-3438	1	5	analysis	analysis	NOUN
cana-3438	1	6	issn	issn	NOUN
cana-3438	1	7	:	:	PUNCT
cana-3438	1	8	1074	1074	NUM
cana-3438	1	9	-	-	PUNCT
cana-3438	1	10	133x	133x	NUM
cana-3438	1	11	vol	vol	NOUN
cana-3438	1	12	32	32	NUM
cana-3438	1	13	no	no	NOUN
cana-3438	1	14	.	.	PUNCT
cana-3438	2	1	7s	7	NOUN
cana-3438	2	2	(	(	PUNCT
cana-3438	2	3	2025	2025	NUM
cana-3438	2	4	)	)	PUNCT
cana-3438	2	5	379	379	NUM
cana-3438	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	2	7	deep	deep	ADJ
cana-3438	2	8	learning	learning	NOUN
cana-3438	2	9	applications	application	NOUN
cana-3438	2	10	in	in	ADP
cana-3438	2	11	medical	medical	ADJ
cana-3438	2	12	image	image	NOUN
cana-3438	2	13	analysis	analysis	NOUN
cana-3438	2	14	:	:	PUNCT
cana-3438	2	15	enhancing	enhance	VERB
cana-3438	2	16	radiology	radiology	NOUN
cana-3438	2	17	with	with	ADP
cana-3438	2	18	automated	automate	VERB
cana-3438	2	19	diagnostic	diagnostic	ADJ
cana-3438	2	20	tools	tool	NOUN
cana-3438	2	21	jihane	jihane	ADJ
cana-3438	2	22	ben	ben	PROPN
cana-3438	2	23	slimane1	slimane1	PROPN
cana-3438	2	24	,	,	PUNCT
cana-3438	2	25	albia	albia	PROPN
cana-3438	2	26	maqbool2	maqbool2	PROPN
cana-3438	2	27	*	*	PROPN
cana-3438	2	28	,	,	PUNCT
cana-3438	2	29	ahmad	ahmad	PROPN
cana-3438	2	30	alshammari3	alshammari3	PROPN
cana-3438	2	31	,	,	PUNCT
cana-3438	2	32	dhouha	dhouha	PROPN
cana-3438	2	33	choukaier4	choukaier4	PROPN
cana-3438	2	34	,	,	PUNCT
cana-3438	2	35	mahmoud	mahmoud	PROPN
cana-3438	2	36	salaheldin	salaheldin	VERB
cana-3438	2	37	elsayed5	elsayed5	X
cana-3438	2	38	,	,	PUNCT
cana-3438	2	39	rabie	rabie	NOUN
cana-3438	2	40	ahmed6	ahmed6	NOUN
cana-3438	2	41	1,2,3,5,6	1,2,3,5,6	NUM
cana-3438	2	42	department	department	NOUN
cana-3438	2	43	of	of	ADP
cana-3438	2	44	computer	computer	NOUN
cana-3438	2	45	sciences	science	NOUN
cana-3438	2	46	,	,	PUNCT
cana-3438	2	47	faculty	faculty	NOUN
cana-3438	2	48	of	of	ADP
cana-3438	2	49	computing	computing	NOUN
cana-3438	2	50	and	and	CCONJ
cana-3438	2	51	information	information	NOUN
cana-3438	2	52	technology	technology	NOUN
cana-3438	2	53	,	,	PUNCT
cana-3438	2	54	northern	northern	ADJ
cana-3438	2	55	border	border	NOUN
cana-3438	2	56	university	university	NOUN
cana-3438	2	57	,	,	PUNCT
cana-3438	2	58	rafha	rafha	PROPN
cana-3438	2	59	91911	91911	NUM
cana-3438	2	60	,	,	PUNCT
cana-3438	2	61	saudi	saudi	PROPN
cana-3438	2	62	arabia	arabia	PROPN
cana-3438	2	63	4	4	NUM
cana-3438	2	64	department	department	NOUN
cana-3438	2	65	of	of	ADP
cana-3438	2	66	basic	basic	ADJ
cana-3438	2	67	health	health	NOUN
cana-3438	2	68	sciences	science	NOUN
cana-3438	2	69	,	,	PUNCT
cana-3438	2	70	college	college	NOUN
cana-3438	2	71	of	of	ADP
cana-3438	2	72	foundation	foundation	PROPN
cana-3438	2	73	year	year	NOUN
cana-3438	2	74	for	for	ADP
cana-3438	2	75	health	health	NOUN
cana-3438	2	76	colleges	college	NOUN
cana-3438	2	77	,	,	PUNCT
cana-3438	2	78	princess	princess	PROPN
cana-3438	2	79	nourah	nourah	PROPN
cana-3438	2	80	bint	bint	PROPN
cana-3438	2	81	abdulrahman	abdulrahman	PROPN
cana-3438	2	82	university	university	PROPN
cana-3438	2	83	,	,	PUNCT
cana-3438	2	84	p.o	p.o	PROPN
cana-3438	2	85	.	.	PROPN
cana-3438	2	86	box	box	PROPN
cana-3438	2	87	84428	84428	NUM
cana-3438	2	88	,	,	PUNCT
cana-3438	2	89	riyadh	riyadh	PROPN
cana-3438	2	90	11671	11671	NUM
cana-3438	2	91	,	,	PUNCT
cana-3438	2	92	saudi	saudi	PROPN
cana-3438	2	93	arabia	arabia	PROPN
cana-3438	2	94	6department	6department	NUM
cana-3438	2	95	of	of	ADP
cana-3438	2	96	mathematics	mathematic	NOUN
cana-3438	2	97	and	and	CCONJ
cana-3438	2	98	computer	computer	NOUN
cana-3438	2	99	science	science	NOUN
cana-3438	2	100	,	,	PUNCT
cana-3438	2	101	faculty	faculty	NOUN
cana-3438	2	102	of	of	ADP
cana-3438	2	103	science	science	NOUN
cana-3438	2	104	,	,	PUNCT
cana-3438	2	105	beni	beni	ADJ
cana-3438	2	106	-	-	ADJ
cana-3438	2	107	suef	suef	ADJ
cana-3438	2	108	university	university	NOUN
cana-3438	2	109	,	,	PUNCT
cana-3438	2	110	beni	beni	NOUN
cana-3438	2	111	-	-	ADJ
cana-3438	2	112	suef	suef	ADJ
cana-3438	2	113	,	,	PUNCT
cana-3438	2	114	egypt	egypt	PROPN
cana-3438	2	115	email	email	NOUN
cana-3438	2	116	:	:	PUNCT
cana-3438	2	117	jehan.saleh@nbu.edu.sa	jehan.saleh@nbu.edu.sa	PROPN
cana-3438	2	118	,	,	PUNCT
cana-3438	2	119	albia.alam@nbu.edu.sa	albia.alam@nbu.edu.sa	PROPN
cana-3438	2	120	,	,	PUNCT
cana-3438	2	121	ahmad.almkhaidsh@nbu.edu.sa	ahmad.almkhaidsh@nbu.edu.sa	PROPN
cana-3438	2	122	,	,	PUNCT
cana-3438	2	123	dachoukaier@pnu.edu.sa	dachoukaier@pnu.edu.sa	NOUN
cana-3438	2	124	,	,	PUNCT
cana-3438	2	125	mahmoud.al-sayed@nbu.edu.sa	mahmoud.al-sayed@nbu.edu.sa	PROPN
cana-3438	2	126	,	,	PUNCT
cana-3438	2	127	rabie.ahmed@nbu.edu.sa	rabie.ahmed@nbu.edu.sa	PROPN
cana-3438	2	128	*	*	PUNCT
cana-3438	2	129	corresponding	correspond	VERB
cana-3438	2	130	author	author	NOUN
cana-3438	2	131	:	:	PUNCT
cana-3438	2	132	albia.alam@nbu.edu.sa	albia.alam@nbu.edu.sa	PROPN
cana-3438	2	133	article	article	NOUN
cana-3438	2	134	history	history	NOUN
cana-3438	2	135	:	:	PUNCT
cana-3438	2	136	received	receive	VERB
cana-3438	2	137	:	:	PUNCT
cana-3438	2	138	26	26	NUM
cana-3438	2	139	-	-	SYM
cana-3438	2	140	10	10	NUM
cana-3438	2	141	-	-	PUNCT
cana-3438	2	142	2024	2024	NUM
cana-3438	2	143	revised:10	revised:10	NOUN
cana-3438	2	144	-	-	PUNCT
cana-3438	2	145	11	11	NUM
cana-3438	2	146	-	-	PUNCT
cana-3438	2	147	2024	2024	NUM
cana-3438	2	148	accepted:18	accepted:18	PROPN
cana-3438	2	149	-	-	PUNCT
cana-3438	2	150	12	12	NUM
cana-3438	2	151	-	-	PUNCT
cana-3438	2	152	2024	2024	NUM
cana-3438	2	153	abstract	abstract	NOUN
cana-3438	2	154	the	the	DET
cana-3438	2	155	main	main	ADJ
cana-3438	2	156	objective	objective	NOUN
cana-3438	2	157	of	of	ADP
cana-3438	2	158	this	this	DET
cana-3438	2	159	study	study	NOUN
cana-3438	2	160	is	be	AUX
cana-3438	2	161	to	to	PART
cana-3438	2	162	incorporate	incorporate	VERB
cana-3438	2	163	deep	deep	ADJ
cana-3438	2	164	learning	learning	NOUN
cana-3438	2	165	–	–	PUNCT
cana-3438	2	166	based	base	VERB
cana-3438	2	167	automated	automate	VERB
cana-3438	2	168	tools	tool	NOUN
cana-3438	2	169	into	into	ADP
cana-3438	2	170	radiological	radiological	ADJ
cana-3438	2	171	diagnostics	diagnostic	NOUN
cana-3438	2	172	to	to	PART
cana-3438	2	173	improve	improve	VERB
cana-3438	2	174	diagnostic	diagnostic	ADJ
cana-3438	2	175	accuracy	accuracy	NOUN
cana-3438	2	176	,	,	PUNCT
cana-3438	2	177	decrease	decrease	VERB
cana-3438	2	178	human	human	ADJ
cana-3438	2	179	error	error	NOUN
cana-3438	2	180	with	with	ADP
cana-3438	2	181	the	the	DET
cana-3438	2	182	aid	aid	NOUN
cana-3438	2	183	of	of	ADP
cana-3438	2	184	computer	computer	NOUN
cana-3438	2	185	algorithms	algorithm	NOUN
cana-3438	2	186	,	,	PUNCT
cana-3438	2	187	and	and	CCONJ
cana-3438	2	188	increase	increase	VERB
cana-3438	2	189	workflow	workflow	NOUN
cana-3438	2	190	efficiency	efficiency	NOUN
cana-3438	2	191	.	.	PUNCT
cana-3438	3	1	the	the	DET
cana-3438	3	2	main	main	ADJ
cana-3438	3	3	goal	goal	NOUN
cana-3438	3	4	is	be	AUX
cana-3438	3	5	to	to	PART
cana-3438	3	6	evaluate	evaluate	VERB
cana-3438	3	7	the	the	DET
cana-3438	3	8	utility	utility	NOUN
cana-3438	3	9	of	of	ADP
cana-3438	3	10	such	such	ADJ
cana-3438	3	11	tools	tool	NOUN
cana-3438	3	12	for	for	ADP
cana-3438	3	13	detection	detection	NOUN
cana-3438	3	14	and	and	CCONJ
cana-3438	3	15	classification	classification	NOUN
cana-3438	3	16	in	in	ADP
cana-3438	3	17	practical	practical	ADJ
cana-3438	3	18	radiological	radiological	ADJ
cana-3438	3	19	workflows	workflow	NOUN
cana-3438	3	20	,	,	PUNCT
cana-3438	3	21	helping	help	VERB
cana-3438	3	22	radiologists	radiologist	NOUN
cana-3438	3	23	provide	provide	VERB
cana-3438	3	24	even	even	ADV
cana-3438	3	25	faster	fast	ADJ
cana-3438	3	26	and	and	CCONJ
cana-3438	3	27	more	more	ADV
cana-3438	3	28	reliable	reliable	ADJ
cana-3438	3	29	diagnoses	diagnosis	NOUN
cana-3438	3	30	.	.	PUNCT
cana-3438	4	1	to	to	PART
cana-3438	4	2	establish	establish	VERB
cana-3438	4	3	a	a	DET
cana-3438	4	4	thorough	thorough	ADJ
cana-3438	4	5	methodology	methodology	NOUN
cana-3438	4	6	,	,	PUNCT
cana-3438	4	7	data	datum	NOUN
cana-3438	4	8	preprocessing	preprocessing	NOUN
cana-3438	4	9	,	,	PUNCT
cana-3438	4	10	model	model	NOUN
cana-3438	4	11	selection	selection	NOUN
cana-3438	4	12	,	,	PUNCT
cana-3438	4	13	and	and	CCONJ
cana-3438	4	14	validation	validation	NOUN
cana-3438	4	15	were	be	AUX
cana-3438	4	16	applied	apply	VERB
cana-3438	4	17	for	for	ADP
cana-3438	4	18	a	a	DET
cana-3438	4	19	variety	variety	NOUN
cana-3438	4	20	of	of	ADP
cana-3438	4	21	medical	medical	ADJ
cana-3438	4	22	imaging	imaging	NOUN
cana-3438	4	23	datasets	dataset	NOUN
cana-3438	4	24	such	such	ADJ
cana-3438	4	25	as	as	ADP
cana-3438	4	26	x	x	NOUN
cana-3438	4	27	-	-	NOUN
cana-3438	4	28	rays	ray	NOUN
cana-3438	4	29	,	,	PUNCT
cana-3438	4	30	computed	compute	VERB
cana-3438	4	31	tomography	tomography	NOUN
cana-3438	4	32	(	(	PUNCT
cana-3438	4	33	ct	ct	PROPN
cana-3438	4	34	)	)	PUNCT
cana-3438	4	35	,	,	PUNCT
cana-3438	4	36	magnetic	magnetic	ADJ
cana-3438	4	37	resonance	resonance	NOUN
cana-3438	4	38	imaging	imaging	NOUN
cana-3438	4	39	(	(	PUNCT
cana-3438	4	40	mri	mri	NOUN
cana-3438	4	41	)	)	PUNCT
cana-3438	4	42	etc	etc	X
cana-3438	4	43	.	.	X
cana-3438	5	1	these	these	DET
cana-3438	5	2	datasets	dataset	NOUN
cana-3438	5	3	were	be	AUX
cana-3438	5	4	then	then	ADV
cana-3438	5	5	used	use	VERB
cana-3438	5	6	to	to	PART
cana-3438	5	7	train	train	VERB
cana-3438	5	8	deep	deep	ADJ
cana-3438	5	9	learning	learning	NOUN
cana-3438	5	10	models	model	NOUN
cana-3438	5	11	,	,	PUNCT
cana-3438	5	12	mainly	mainly	ADV
cana-3438	5	13	convolutional	convolutional	ADJ
cana-3438	5	14	neural	neural	ADJ
cana-3438	5	15	networks	network	NOUN
cana-3438	5	16	(	(	PUNCT
cana-3438	5	17	cnns	cnns	PROPN
cana-3438	5	18	)	)	PUNCT
cana-3438	5	19	and	and	CCONJ
cana-3438	5	20	transformer	transformer	NOUN
cana-3438	5	21	architectures	architecture	NOUN
cana-3438	5	22	to	to	PART
cana-3438	5	23	identify	identify	VERB
cana-3438	5	24	feature	feature	NOUN
cana-3438	5	25	determinants	determinant	NOUN
cana-3438	5	26	for	for	ADP
cana-3438	5	27	common	common	ADJ
cana-3438	5	28	diagnostic	diagnostic	ADJ
cana-3438	5	29	markers	marker	NOUN
cana-3438	5	30	.	.	PUNCT
cana-3438	6	1	various	various	ADJ
cana-3438	6	2	imaging	imaging	NOUN
cana-3438	6	3	modalities	modality	NOUN
cana-3438	6	4	are	be	AUX
cana-3438	6	5	being	be	AUX
cana-3438	6	6	compared	compare	VERB
cana-3438	6	7	based	base	VERB
cana-3438	6	8	on	on	ADP
cana-3438	6	9	performance	performance	NOUN
cana-3438	6	10	metrics	metric	NOUN
cana-3438	6	11	accuracy	accuracy	NOUN
cana-3438	6	12	,	,	PUNCT
cana-3438	6	13	sensitivity	sensitivity	NOUN
cana-3438	6	14	and	and	CCONJ
cana-3438	6	15	specificity	specificity	NOUN
cana-3438	6	16	.	.	PUNCT
cana-3438	7	1	a	a	DET
cana-3438	7	2	comparison	comparison	NOUN
cana-3438	7	3	to	to	ADP
cana-3438	7	4	more	more	ADJ
cana-3438	7	5	conventional	conventional	ADJ
cana-3438	7	6	methods	method	NOUN
cana-3438	7	7	of	of	ADP
cana-3438	7	8	radiology	radiology	NOUN
cana-3438	7	9	was	be	AUX
cana-3438	7	10	also	also	ADV
cana-3438	7	11	performed	perform	VERB
cana-3438	7	12	to	to	PART
cana-3438	7	13	demonstrate	demonstrate	VERB
cana-3438	7	14	the	the	DET
cana-3438	7	15	relative	relative	ADJ
cana-3438	7	16	strengths	strength	NOUN
cana-3438	7	17	and	and	CCONJ
cana-3438	7	18	weaknesses	weakness	NOUN
cana-3438	7	19	of	of	ADP
cana-3438	7	20	deep	deep	ADJ
cana-3438	7	21	learning	learning	NOUN
cana-3438	7	22	models	model	NOUN
cana-3438	7	23	.	.	PUNCT
cana-3438	8	1	findings	finding	NOUN
cana-3438	8	2	showed	show	VERB
cana-3438	8	3	that	that	SCONJ
cana-3438	8	4	deep	deep	ADJ
cana-3438	8	5	learning	learning	NOUN
cana-3438	8	6	algorithms	algorithm	NOUN
cana-3438	8	7	may	may	AUX
cana-3438	8	8	enhance	enhance	VERB
cana-3438	8	9	diagnostic	diagnostic	ADJ
cana-3438	8	10	accuracy	accuracy	NOUN
cana-3438	8	11	in	in	ADP
cana-3438	8	12	medical	medical	ADJ
cana-3438	8	13	imaging	imaging	NOUN
cana-3438	8	14	,	,	PUNCT
cana-3438	8	15	attaining	attain	VERB
cana-3438	8	16	higher	high	ADJ
cana-3438	8	17	levels	level	NOUN
cana-3438	8	18	of	of	ADP
cana-3438	8	19	sensitivity	sensitivity	NOUN
cana-3438	8	20	and	and	CCONJ
cana-3438	8	21	specificity	specificity	NOUN
cana-3438	8	22	than	than	ADP
cana-3438	8	23	standard	standard	ADJ
cana-3438	8	24	approaches	approach	NOUN
cana-3438	8	25	in	in	ADP
cana-3438	8	26	some	some	DET
cana-3438	8	27	examples	example	NOUN
cana-3438	8	28	.	.	PUNCT
cana-3438	9	1	it	it	PRON
cana-3438	9	2	also	also	ADV
cana-3438	9	3	found	find	VERB
cana-3438	9	4	that	that	SCONJ
cana-3438	9	5	automated	automate	VERB
cana-3438	9	6	diagnostics	diagnostic	NOUN
cana-3438	9	7	could	could	AUX
cana-3438	9	8	save	save	VERB
cana-3438	9	9	time	time	NOUN
cana-3438	9	10	for	for	ADP
cana-3438	9	11	image	image	NOUN
cana-3438	9	12	analysis	analysis	NOUN
cana-3438	9	13	,	,	PUNCT
cana-3438	9	14	improving	improve	VERB
cana-3438	9	15	workflow	workflow	NOUN
cana-3438	9	16	and	and	CCONJ
cana-3438	9	17	enabling	enable	VERB
cana-3438	9	18	radiologists	radiologist	NOUN
cana-3438	9	19	to	to	PART
cana-3438	9	20	focus	focus	VERB
cana-3438	9	21	on	on	ADP
cana-3438	9	22	challenging	challenging	ADJ
cana-3438	9	23	cases	case	NOUN
cana-3438	9	24	.	.	PUNCT
cana-3438	10	1	error	error	NOUN
cana-3438	10	2	analysis	analysis	NOUN
cana-3438	10	3	identified	identify	VERB
cana-3438	10	4	components	component	NOUN
cana-3438	10	5	requiring	require	VERB
cana-3438	10	6	further	further	ADJ
cana-3438	10	7	development	development	NOUN
cana-3438	10	8	,	,	PUNCT
cana-3438	10	9	especially	especially	ADV
cana-3438	10	10	on	on	ADP
cana-3438	10	11	edge	edge	NOUN
cana-3438	10	12	cases	case	NOUN
cana-3438	10	13	and	and	CCONJ
cana-3438	10	14	rare	rare	ADJ
cana-3438	10	15	disease	disease	NOUN
cana-3438	10	16	detection	detection	NOUN
cana-3438	10	17	where	where	SCONJ
cana-3438	10	18	traditional	traditional	ADJ
cana-3438	10	19	and	and	CCONJ
cana-3438	10	20	deep	deep	ADJ
cana-3438	10	21	learning	learning	NOUN
cana-3438	10	22	methods	method	NOUN
cana-3438	10	23	may	may	AUX
cana-3438	10	24	work	work	VERB
cana-3438	10	25	best	well	ADV
cana-3438	10	26	in	in	ADP
cana-3438	10	27	combination	combination	NOUN
cana-3438	10	28	.	.	PUNCT
cana-3438	11	1	keywords	keyword	NOUN
cana-3438	11	2	:	:	PUNCT
cana-3438	11	3	deep	deep	ADJ
cana-3438	11	4	learning	learning	NOUN
cana-3438	11	5	,	,	PUNCT
cana-3438	11	6	medical	medical	ADJ
cana-3438	11	7	image	image	NOUN
cana-3438	11	8	analysis	analysis	NOUN
cana-3438	11	9	,	,	PUNCT
cana-3438	11	10	radiology	radiology	NOUN
cana-3438	11	11	automation	automation	NOUN
cana-3438	11	12	,	,	PUNCT
cana-3438	11	13	convolutional	convolutional	ADJ
cana-3438	11	14	neural	neural	ADJ
cana-3438	11	15	networks	network	NOUN
cana-3438	11	16	(	(	PUNCT
cana-3438	11	17	cnn	cnn	PROPN
cana-3438	11	18	)	)	PUNCT
cana-3438	11	19	,	,	PUNCT
cana-3438	11	20	transformer	transformer	NOUN
cana-3438	11	21	architectures	architecture	NOUN
cana-3438	11	22	,	,	PUNCT
cana-3438	11	23	healthcare	healthcare	NOUN
cana-3438	11	24	technology	technology	NOUN
cana-3438	11	25	integration	integration	NOUN
cana-3438	11	26	,	,	PUNCT
cana-3438	11	27	clinical	clinical	ADJ
cana-3438	11	28	imaging	imaging	NOUN
cana-3438	11	29	1	1	NUM
cana-3438	11	30	.	.	PUNCT
cana-3438	11	31	introduction	introduction	NOUN
cana-3438	11	32	1.1	1.1	NUM
cana-3438	11	33	background	background	NOUN
cana-3438	11	34	of	of	ADP
cana-3438	11	35	medical	medical	ADJ
cana-3438	11	36	image	image	NOUN
cana-3438	11	37	analysis	analysis	NOUN
cana-3438	11	38	medical	medical	ADJ
cana-3438	11	39	image	image	NOUN
cana-3438	11	40	analysis	analysis	NOUN
cana-3438	11	41	is	be	AUX
cana-3438	11	42	a	a	DET
cana-3438	11	43	key	key	ADJ
cana-3438	11	44	element	element	NOUN
cana-3438	11	45	in	in	ADP
cana-3438	11	46	modern	modern	ADJ
cana-3438	11	47	healthcare	healthcare	NOUN
cana-3438	11	48	,	,	PUNCT
cana-3438	11	49	as	as	SCONJ
cana-3438	11	50	it	it	PRON
cana-3438	11	51	plays	play	VERB
cana-3438	11	52	an	an	DET
cana-3438	11	53	essential	essential	ADJ
cana-3438	11	54	role	role	NOUN
cana-3438	11	55	in	in	ADP
cana-3438	11	56	the	the	DET
cana-3438	11	57	diagnostic	diagnostic	ADJ
cana-3438	11	58	process	process	NOUN
cana-3438	11	59	.	.	PUNCT
cana-3438	12	1	radiologists	radiologist	NOUN
cana-3438	12	2	visualize	visualize	VERB
cana-3438	12	3	the	the	DET
cana-3438	12	4	internal	internal	ADJ
cana-3438	12	5	structures	structure	NOUN
cana-3438	12	6	and	and	CCONJ
cana-3438	12	7	identify	identify	VERB
cana-3438	12	8	abnormalities	abnormality	NOUN
cana-3438	12	9	that	that	PRON
cana-3438	12	10	can	can	AUX
cana-3438	12	11	relate	relate	VERB
cana-3438	12	12	to	to	ADP
cana-3438	12	13	diseases	disease	NOUN
cana-3438	12	14	through	through	ADP
cana-3438	12	15	tools	tool	NOUN
cana-3438	12	16	like	like	ADP
cana-3438	12	17	those	those	PRON
cana-3438	12	18	of	of	ADP
cana-3438	12	19	x	x	NOUN
cana-3438	12	20	-	-	NOUN
cana-3438	12	21	ray	ray	NOUN
cana-3438	12	22	,	,	PUNCT
cana-3438	12	23	ct	ct	PROPN
cana-3438	12	24	,	,	PUNCT
cana-3438	12	25	mri	mri	NOUN
cana-3438	12	26	and	and	CCONJ
cana-3438	12	27	ultrasound	ultrasound	NOUN
cana-3438	12	28	.	.	PUNCT
cana-3438	13	1	historically	historically	ADV
cana-3438	13	2	,	,	PUNCT
cana-3438	13	3	interpreting	interpret	VERB
cana-3438	13	4	such	such	ADJ
cana-3438	13	5	images	image	NOUN
cana-3438	13	6	has	have	AUX
cana-3438	13	7	required	require	VERB
cana-3438	13	8	considerable	considerable	ADJ
cana-3438	13	9	expertise	expertise	NOUN
cana-3438	13	10	and	and	CCONJ
cana-3438	13	11	time	time	NOUN
cana-3438	13	12	,	,	PUNCT
cana-3438	13	13	with	with	ADP
cana-3438	13	14	diagnostic	diagnostic	ADJ
cana-3438	13	15	performance	performance	NOUN
cana-3438	13	16	reliant	reliant	ADJ
cana-3438	13	17	on	on	ADP
cana-3438	13	18	human	human	ADJ
cana-3438	13	19	skill	skill	NOUN
cana-3438	13	20	.	.	PUNCT
cana-3438	14	1	nonetheless	nonetheless	ADV
cana-3438	14	2	,	,	PUNCT
cana-3438	14	3	recent	recent	ADJ
cana-3438	14	4	developments	development	NOUN
cana-3438	14	5	in	in	ADP
cana-3438	14	6	artificial	artificial	ADJ
cana-3438	14	7	intelligence	intelligence	NOUN
cana-3438	14	8	(	(	PUNCT
cana-3438	14	9	ai	ai	AUX
cana-3438	14	10	)	)	PUNCT
cana-3438	14	11	particularly	particularly	ADV
cana-3438	14	12	deep	deep	ADJ
cana-3438	14	13	learning	learn	VERB
cana-3438	14	14	mailto:jehan.saleh@nbu.edu.sa	mailto:jehan.saleh@nbu.edu.sa	PROPN
cana-3438	14	15	mailto:albia.alam@nbu.edu.sa	mailto:albia.alam@nbu.edu.sa	PROPN
cana-3438	14	16	mailto:ahmad.almkhaidsh@nbu.edu.sa	mailto:ahmad.almkhaidsh@nbu.edu.sa	PROPN
cana-3438	14	17	mailto:dachoukaier@pnu.edu.sa	mailto:dachoukaier@pnu.edu.sa	NOUN
cana-3438	14	18	mailto:mahmoud.al-sayed@nbu.edu.sa	mailto:mahmoud.al-sayed@nbu.edu.sa	PROPN
cana-3438	14	19	mailto:rabie.ahmed@nbu.edu.sa	mailto:rabie.ahmed@nbu.edu.sa	PROPN
cana-3438	14	20	communications	communication	NOUN
cana-3438	14	21	on	on	ADP
cana-3438	14	22	applied	apply	VERB
cana-3438	14	23	nonlinear	nonlinear	ADJ
cana-3438	14	24	analysis	analysis	NOUN
cana-3438	14	25	issn	issn	NOUN
cana-3438	14	26	:	:	PUNCT
cana-3438	14	27	1074	1074	NUM
cana-3438	14	28	-	-	PUNCT
cana-3438	14	29	133x	133x	NUM
cana-3438	14	30	vol	vol	NOUN
cana-3438	14	31	32	32	NUM
cana-3438	14	32	no	no	NOUN
cana-3438	14	33	.	.	PUNCT
cana-3438	15	1	7s	7	NOUN
cana-3438	15	2	(	(	PUNCT
cana-3438	15	3	2025	2025	NUM
cana-3438	15	4	)	)	PUNCT
cana-3438	15	5	380	380	NUM
cana-3438	15	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	15	7	methods	method	NOUN
cana-3438	15	8	have	have	AUX
cana-3438	15	9	enabled	enable	VERB
cana-3438	15	10	automated	automate	VERB
cana-3438	15	11	image	image	NOUN
cana-3438	15	12	processing	processing	NOUN
cana-3438	15	13	with	with	ADP
cana-3438	15	14	the	the	DET
cana-3438	15	15	potential	potential	NOUN
cana-3438	15	16	for	for	ADP
cana-3438	15	17	faster	fast	ADJ
cana-3438	15	18	and	and	CCONJ
cana-3438	15	19	more	more	ADV
cana-3438	15	20	accurate	accurate	ADJ
cana-3438	15	21	diagnostic	diagnostic	ADJ
cana-3438	15	22	evaluations	evaluation	NOUN
cana-3438	15	23	[	[	X
cana-3438	15	24	1	1	NUM
cana-3438	15	25	,	,	PUNCT
cana-3438	15	26	2	2	NUM
cana-3438	15	27	]	]	PUNCT
cana-3438	15	28	.	.	PUNCT
cana-3438	16	1	1.2	1.2	NUM
cana-3438	16	2	role	role	NOUN
cana-3438	16	3	and	and	CCONJ
cana-3438	16	4	evolution	evolution	NOUN
cana-3438	16	5	of	of	ADP
cana-3438	16	6	deep	deep	ADJ
cana-3438	16	7	learning	learning	NOUN
cana-3438	16	8	in	in	ADP
cana-3438	16	9	medical	medical	ADJ
cana-3438	16	10	imaging	imaging	NOUN
cana-3438	16	11	large	large	ADJ
cana-3438	16	12	datasets	dataset	NOUN
cana-3438	16	13	and	and	CCONJ
cana-3438	16	14	complex	complex	ADJ
cana-3438	16	15	pattern	pattern	NOUN
cana-3438	16	16	recognition	recognition	NOUN
cana-3438	16	17	the	the	DET
cana-3438	16	18	change	change	NOUN
cana-3438	16	19	in	in	ADP
cana-3438	16	20	medical	medical	ADJ
cana-3438	16	21	imaging	imaging	NOUN
cana-3438	16	22	:	:	PUNCT
cana-3438	16	23	deep	deep	ADJ
cana-3438	16	24	learning	learn	VERB
cana-3438	16	25	deep	deep	ADJ
cana-3438	16	26	-	-	PUNCT
cana-3438	16	27	learning	learn	VERB
cana-3438	16	28	models	model	NOUN
cana-3438	16	29	can	can	AUX
cana-3438	16	30	learn	learn	VERB
cana-3438	16	31	features	feature	NOUN
cana-3438	16	32	without	without	ADP
cana-3438	16	33	heavy	heavy	ADJ
cana-3438	16	34	reliance	reliance	NOUN
cana-3438	16	35	on	on	ADP
cana-3438	16	36	feature	feature	NOUN
cana-3438	16	37	engineering	engineering	NOUN
cana-3438	16	38	,	,	PUNCT
cana-3438	16	39	allowing	allow	VERB
cana-3438	16	40	their	their	PRON
cana-3438	16	41	adaptation	adaptation	NOUN
cana-3438	16	42	to	to	ADP
cana-3438	16	43	a	a	DET
cana-3438	16	44	diverse	diverse	ADJ
cana-3438	16	45	range	range	NOUN
cana-3438	16	46	of	of	ADP
cana-3438	16	47	imaging	imaging	NOUN
cana-3438	16	48	conditions	condition	NOUN
cana-3438	16	49	and	and	CCONJ
cana-3438	16	50	clinical	clinical	ADJ
cana-3438	16	51	scenarios	scenario	NOUN
cana-3438	16	52	than	than	SCONJ
cana-3438	16	53	earlier	early	ADJ
cana-3438	16	54	machine	machine	NOUN
cana-3438	16	55	learning	learning	NOUN
cana-3438	16	56	approaches	approach	VERB
cana-3438	16	57	[	[	X
cana-3438	16	58	3	3	NUM
cana-3438	16	59	]	]	PUNCT
cana-3438	16	60	.	.	PUNCT
cana-3438	17	1	early	early	ADJ
cana-3438	17	2	era	era	NOUN
cana-3438	17	3	transition	transition	NOUN
cana-3438	17	4	:	:	PUNCT
cana-3438	17	5	this	this	DET
cana-3438	17	6	achievement	achievement	NOUN
cana-3438	17	7	marks	mark	VERB
cana-3438	17	8	the	the	DET
cana-3438	17	9	launching	launch	VERB
cana-3438	17	10	step	step	NOUN
cana-3438	17	11	,	,	PUNCT
cana-3438	17	12	for	for	ADP
cana-3438	17	13	fundamental	fundamental	ADJ
cana-3438	17	14	image	image	NOUN
cana-3438	17	15	recognition	recognition	NOUN
cana-3438	17	16	to	to	ADP
cana-3438	17	17	complex	complex	ADJ
cana-3438	17	18	models	model	NOUN
cana-3438	17	19	forming	form	VERB
cana-3438	17	20	classification	classification	NOUN
cana-3438	17	21	detection	detection	NOUN
cana-3438	17	22	and	and	CCONJ
cana-3438	17	23	segmentation	segmentation	NOUN
cana-3438	17	24	with	with	ADP
cana-3438	17	25	near	near	ADJ
cana-3438	17	26	radiologists	radiologist	NOUN
cana-3438	17	27	’	'	PUNCT
cana-3438	17	28	accuracy	accuracy	NOUN
cana-3438	17	29	[	[	X
cana-3438	17	30	4	4	NUM
cana-3438	17	31	]	]	PUNCT
cana-3438	17	32	.	.	PUNCT
cana-3438	18	1	the	the	DET
cana-3438	18	2	growing	grow	VERB
cana-3438	18	3	use	use	NOUN
cana-3438	18	4	of	of	ADP
cana-3438	18	5	deep	deep	ADJ
cana-3438	18	6	learning	learning	NOUN
cana-3438	18	7	in	in	ADP
cana-3438	18	8	this	this	DET
cana-3438	18	9	area	area	NOUN
cana-3438	18	10	demonstrates	demonstrate	VERB
cana-3438	18	11	a	a	DET
cana-3438	18	12	trend	trend	NOUN
cana-3438	18	13	away	away	ADV
cana-3438	18	14	from	from	ADP
cana-3438	18	15	manual	manual	ADJ
cana-3438	18	16	image	image	NOUN
cana-3438	18	17	reading	reading	NOUN
cana-3438	18	18	and	and	CCONJ
cana-3438	18	19	its	its	PRON
cana-3438	18	20	incorporation	incorporation	NOUN
cana-3438	18	21	into	into	ADP
cana-3438	18	22	increasingly	increasingly	ADV
cana-3438	18	23	more	more	ADV
cana-3438	18	24	automated	automated	ADJ
cana-3438	18	25	medical	medical	ADJ
cana-3438	18	26	workflows	workflow	NOUN
cana-3438	18	27	.	.	PUNCT
cana-3438	19	1	1.3	1.3	NUM
cana-3438	19	2	importance	importance	NOUN
cana-3438	19	3	of	of	ADP
cana-3438	19	4	automated	automate	VERB
cana-3438	19	5	diagnostic	diagnostic	ADJ
cana-3438	19	6	tools	tool	NOUN
cana-3438	19	7	in	in	ADP
cana-3438	19	8	radiology	radiology	NOUN
cana-3438	19	9	recent	recent	ADJ
cana-3438	19	10	advances	advance	NOUN
cana-3438	19	11	in	in	ADP
cana-3438	19	12	artificial	artificial	ADJ
cana-3438	19	13	intelligence	intelligence	NOUN
cana-3438	19	14	(	(	PUNCT
cana-3438	19	15	ai	ai	AUX
cana-3438	19	16	)	)	PUNCT
cana-3438	19	17	raise	raise	VERB
cana-3438	19	18	the	the	DET
cana-3438	19	19	prospect	prospect	NOUN
cana-3438	19	20	of	of	ADP
cana-3438	19	21	reducing	reduce	VERB
cana-3438	19	22	radiology	radiology	NOUN
cana-3438	19	23	workload	workload	NOUN
cana-3438	19	24	and	and	CCONJ
cana-3438	19	25	diagnostic	diagnostic	ADJ
cana-3438	19	26	variability	variability	NOUN
cana-3438	19	27	through	through	ADP
cana-3438	19	28	automated	automate	VERB
cana-3438	19	29	diagnostic	diagnostic	ADJ
cana-3438	19	30	tools	tool	NOUN
cana-3438	19	31	.	.	PUNCT
cana-3438	20	1	to	to	ADP
cana-3438	20	2	radiologists	radiologist	NOUN
cana-3438	20	3	,	,	PUNCT
cana-3438	20	4	these	these	DET
cana-3438	20	5	tools	tool	NOUN
cana-3438	20	6	act	act	VERB
cana-3438	20	7	as	as	ADP
cana-3438	20	8	supplemental	supplemental	ADJ
cana-3438	20	9	aids	aid	NOUN
cana-3438	20	10	that	that	PRON
cana-3438	20	11	highlight	highlight	VERB
cana-3438	20	12	important	important	ADJ
cana-3438	20	13	zones	zone	NOUN
cana-3438	20	14	in	in	ADP
cana-3438	20	15	images	image	NOUN
cana-3438	20	16	for	for	ADP
cana-3438	20	17	review	review	NOUN
cana-3438	20	18	and	and	CCONJ
cana-3438	20	19	thus	thus	ADV
cana-3438	20	20	speed	speed	VERB
cana-3438	20	21	up	up	ADP
cana-3438	20	22	the	the	DET
cana-3438	20	23	diagnosis	diagnosis	NOUN
cana-3438	20	24	.	.	PUNCT
cana-3438	21	1	such	such	ADJ
cana-3438	21	2	tools	tool	NOUN
cana-3438	21	3	can	can	AUX
cana-3438	21	4	significantly	significantly	ADV
cana-3438	21	5	reduce	reduce	VERB
cana-3438	21	6	waiting	waiting	NOUN
cana-3438	21	7	time	time	NOUN
cana-3438	21	8	and	and	CCONJ
cana-3438	21	9	human	human	ADJ
cana-3438	21	10	error	error	NOUN
cana-3438	21	11	,	,	PUNCT
cana-3438	21	12	thus	thus	ADV
cana-3438	21	13	increasing	increase	VERB
cana-3438	21	14	patient	patient	ADJ
cana-3438	21	15	safety	safety	NOUN
cana-3438	22	1	[	[	X
cana-3438	22	2	5	5	NUM
cana-3438	22	3	]	]	PUNCT
cana-3438	22	4	in	in	ADP
cana-3438	22	5	emergency	emergency	NOUN
cana-3438	22	6	and	and	CCONJ
cana-3438	22	7	high	high	ADJ
cana-3438	22	8	-	-	PUNCT
cana-3438	22	9	volume	volume	NOUN
cana-3438	22	10	settings	setting	NOUN
cana-3438	22	11	.	.	PUNCT
cana-3438	23	1	this	this	PRON
cana-3438	23	2	applies	apply	VERB
cana-3438	23	3	to	to	ADP
cana-3438	23	4	the	the	DET
cana-3438	23	5	integration	integration	NOUN
cana-3438	23	6	of	of	ADP
cana-3438	23	7	these	these	DET
cana-3438	23	8	tools	tool	NOUN
cana-3438	23	9	,	,	PUNCT
cana-3438	23	10	which	which	PRON
cana-3438	23	11	is	be	AUX
cana-3438	23	12	difficult	difficult	ADJ
cana-3438	23	13	and	and	CCONJ
cana-3438	23	14	must	must	AUX
cana-3438	23	15	meet	meet	VERB
cana-3438	23	16	clinical	clinical	ADJ
cana-3438	23	17	needs	need	NOUN
cana-3438	23	18	and	and	CCONJ
cana-3438	23	19	regulatory	regulatory	ADJ
cana-3438	23	20	requirements	requirement	NOUN
cana-3438	23	21	,	,	PUNCT
cana-3438	23	22	strengthening	strengthen	VERB
cana-3438	23	23	the	the	DET
cana-3438	23	24	case	case	NOUN
cana-3438	23	25	for	for	ADP
cana-3438	23	26	clinically	clinically	ADV
cana-3438	23	27	validated	validate	VERB
cana-3438	23	28	technologies	technology	NOUN
cana-3438	23	29	.	.	PUNCT
cana-3438	24	1	1.4	1.4	NUM
cana-3438	24	2	research	research	NOUN
cana-3438	24	3	objectives	objective	NOUN
cana-3438	24	4	:	:	PUNCT
cana-3438	24	5	focus	focus	VERB
cana-3438	24	6	on	on	ADP
cana-3438	24	7	technology	technology	NOUN
cana-3438	24	8	advancements	advancement	NOUN
cana-3438	24	9	the	the	DET
cana-3438	24	10	practical	practical	ADJ
cana-3438	24	11	aim	aim	NOUN
cana-3438	24	12	of	of	ADP
cana-3438	24	13	this	this	DET
cana-3438	24	14	research	research	NOUN
cana-3438	24	15	is	be	AUX
cana-3438	24	16	to	to	PART
cana-3438	24	17	help	help	VERB
cana-3438	24	18	in	in	ADP
cana-3438	24	19	the	the	DET
cana-3438	24	20	advancement	advancement	NOUN
cana-3438	24	21	of	of	ADP
cana-3438	24	22	improved	improved	ADJ
cana-3438	24	23	deep	deep	ADJ
cana-3438	24	24	learning	learning	NOUN
cana-3438	24	25	architectures	architecture	NOUN
cana-3438	24	26	targeting	target	VERB
cana-3438	24	27	medical	medical	ADJ
cana-3438	24	28	imaging	imaging	NOUN
cana-3438	24	29	,	,	PUNCT
cana-3438	24	30	while	while	SCONJ
cana-3438	24	31	tech	tech	NOUN
cana-3438	24	32	-	-	PUNCT
cana-3438	24	33	wise	wise	ADJ
cana-3438	24	34	implications	implication	NOUN
cana-3438	24	35	will	will	AUX
cana-3438	24	36	also	also	ADV
cana-3438	24	37	be	be	AUX
cana-3438	24	38	discussed	discuss	VERB
cana-3438	24	39	.	.	PUNCT
cana-3438	25	1	the	the	DET
cana-3438	25	2	specific	specific	ADJ
cana-3438	25	3	aims	aim	NOUN
cana-3438	25	4	are	be	AUX
cana-3438	25	5	to	to	PART
cana-3438	25	6	evaluate	evaluate	VERB
cana-3438	25	7	existing	exist	VERB
cana-3438	25	8	automated	automate	VERB
cana-3438	25	9	diagnostic	diagnostic	ADJ
cana-3438	25	10	tools	tool	NOUN
cana-3438	25	11	,	,	PUNCT
cana-3438	25	12	identify	identify	VERB
cana-3438	25	13	areas	area	NOUN
cana-3438	25	14	of	of	ADP
cana-3438	25	15	need	need	NOUN
cana-3438	25	16	for	for	ADP
cana-3438	25	17	different	different	ADJ
cana-3438	25	18	current	current	ADJ
cana-3438	25	19	technologies	technology	NOUN
cana-3438	25	20	,	,	PUNCT
cana-3438	25	21	and	and	CCONJ
cana-3438	25	22	establish	establish	VERB
cana-3438	25	23	their	their	PRON
cana-3438	25	24	feasibility	feasibility	NOUN
cana-3438	25	25	in	in	ADP
cana-3438	25	26	real	real	ADJ
cana-3438	25	27	-	-	PUNCT
cana-3438	25	28	life	life	NOUN
cana-3438	25	29	clinical	clinical	ADJ
cana-3438	25	30	settings	setting	NOUN
cana-3438	25	31	.	.	PUNCT
cana-3438	26	1	such	such	ADJ
cana-3438	26	2	as	as	ADP
cana-3438	26	3	data	data	NOUN
cana-3438	26	4	privacy	privacy	NOUN
cana-3438	26	5	,	,	PUNCT
cana-3438	26	6	scalability	scalability	NOUN
cana-3438	26	7	and	and	CCONJ
cana-3438	26	8	interoperability	interoperability	NOUN
cana-3438	26	9	problems	problem	NOUN
cana-3438	26	10	in	in	ADP
cana-3438	26	11	the	the	DET
cana-3438	26	12	healthcare	healthcare	NOUN
cana-3438	26	13	environment	environment	NOUN
cana-3438	27	1	[	[	X
cana-3438	27	2	6	6	NUM
cana-3438	27	3	,	,	PUNCT
cana-3438	27	4	7	7	NUM
cana-3438	27	5	]	]	PUNCT
cana-3438	27	6	.	.	PUNCT
cana-3438	28	1	1.5	1.5	NUM
cana-3438	28	2	scope	scope	NOUN
cana-3438	28	3	of	of	ADP
cana-3438	28	4	it	it	PRON
cana-3438	28	5	integration	integration	NOUN
cana-3438	28	6	in	in	ADP
cana-3438	28	7	medical	medical	ADJ
cana-3438	28	8	imaging	imaging	NOUN
cana-3438	28	9	it	it	PRON
cana-3438	28	10	in	in	ADP
cana-3438	28	11	medical	medical	ADJ
cana-3438	28	12	imaging	imaging	NOUN
cana-3438	28	13	is	be	AUX
cana-3438	28	14	not	not	PART
cana-3438	28	15	limited	limit	VERB
cana-3438	28	16	to	to	ADP
cana-3438	28	17	diagnostics	diagnostic	NOUN
cana-3438	28	18	;	;	PUNCT
cana-3438	28	19	it	it	PRON
cana-3438	28	20	also	also	ADV
cana-3438	28	21	encompasses	encompass	VERB
cana-3438	28	22	things	thing	NOUN
cana-3438	28	23	such	such	ADJ
cana-3438	28	24	as	as	ADP
cana-3438	28	25	image	image	NOUN
cana-3438	28	26	storage	storage	NOUN
cana-3438	28	27	,	,	PUNCT
cana-3438	28	28	secure	secure	ADJ
cana-3438	28	29	transfer	transfer	NOUN
cana-3438	28	30	of	of	ADP
cana-3438	28	31	data	datum	NOUN
cana-3438	28	32	,	,	PUNCT
cana-3438	28	33	and	and	CCONJ
cana-3438	28	34	management	management	NOUN
cana-3438	28	35	of	of	ADP
cana-3438	28	36	patient	patient	ADJ
cana-3438	28	37	data	datum	NOUN
cana-3438	28	38	.	.	PUNCT
cana-3438	29	1	this	this	DET
cana-3438	29	2	perspective	perspective	NOUN
cana-3438	29	3	urges	urge	VERB
cana-3438	29	4	a	a	DET
cana-3438	29	5	broader	broad	ADJ
cana-3438	29	6	framing	framing	NOUN
cana-3438	29	7	of	of	ADP
cana-3438	29	8	the	the	DET
cana-3438	29	9	study	study	NOUN
cana-3438	29	10	evaluating	evaluate	VERB
cana-3438	29	11	deep	deep	ADJ
cana-3438	29	12	learning	learning	NOUN
cana-3438	29	13	as	as	ADV
cana-3438	29	14	both	both	CCONJ
cana-3438	29	15	a	a	DET
cana-3438	29	16	diagnostic	diagnostic	ADJ
cana-3438	29	17	tool	tool	NOUN
cana-3438	29	18	and	and	CCONJ
cana-3438	29	19	an	an	DET
cana-3438	29	20	inclusive	inclusive	ADJ
cana-3438	29	21	ecosystem	ecosystem	NOUN
cana-3438	29	22	of	of	ADP
cana-3438	29	23	it	it	PRON
cana-3438	29	24	-	-	PUNCT
cana-3438	29	25	enabled	enable	VERB
cana-3438	29	26	healthcare	healthcare	NOUN
cana-3438	29	27	solutions	solution	NOUN
cana-3438	29	28	.	.	PUNCT
cana-3438	30	1	such	such	DET
cana-3438	30	2	a	a	DET
cana-3438	30	3	wider	wide	ADJ
cana-3438	30	4	domain	domain	NOUN
cana-3438	30	5	involves	involve	VERB
cana-3438	30	6	federated	federated	ADJ
cana-3438	30	7	learning	learning	NOUN
cana-3438	30	8	(	(	PUNCT
cana-3438	30	9	to	to	PART
cana-3438	30	10	ensure	ensure	VERB
cana-3438	30	11	data	datum	NOUN
cana-3438	30	12	security	security	NOUN
cana-3438	30	13	)	)	PUNCT
cana-3438	30	14	,	,	PUNCT
cana-3438	30	15	edge	edge	NOUN
cana-3438	30	16	computing	computing	NOUN
cana-3438	30	17	(	(	PUNCT
cana-3438	30	18	for	for	ADP
cana-3438	30	19	low	low	ADJ
cana-3438	30	20	latency	latency	NOUN
cana-3438	30	21	mode	mode	NOUN
cana-3438	30	22	of	of	ADP
cana-3438	30	23	computation	computation	NOUN
cana-3438	30	24	analysis	analysis	NOUN
cana-3438	30	25	)	)	PUNCT
cana-3438	30	26	and	and	CCONJ
cana-3438	30	27	a	a	DET
cana-3438	30	28	cloud	cloud	NOUN
cana-3438	30	29	-	-	PUNCT
cana-3438	30	30	based	base	VERB
cana-3438	30	31	storage	storage	NOUN
cana-3438	30	32	solution	solution	NOUN
cana-3438	30	33	to	to	PART
cana-3438	30	34	enable	enable	VERB
cana-3438	30	35	scalable	scalable	ADJ
cana-3438	30	36	remote	remote	ADJ
cana-3438	30	37	diagnostic	diagnostic	ADJ
cana-3438	30	38	capabilities	capability	NOUN
cana-3438	30	39	[	[	X
cana-3438	30	40	8	8	NUM
cana-3438	30	41	,	,	PUNCT
cana-3438	30	42	9	9	NUM
cana-3438	30	43	]	]	PUNCT
cana-3438	30	44	.	.	PUNCT
cana-3438	31	1	2	2	X
cana-3438	31	2	.	.	X
cana-3438	31	3	literature	literature	NOUN
cana-3438	31	4	review	review	VERB
cana-3438	31	5	2.1	2.1	NUM
cana-3438	31	6	overview	overview	NOUN
cana-3438	31	7	of	of	ADP
cana-3438	31	8	deep	deep	ADJ
cana-3438	31	9	learning	learning	NOUN
cana-3438	31	10	techniques	technique	NOUN
cana-3438	31	11	in	in	ADP
cana-3438	31	12	medical	medical	ADJ
cana-3438	31	13	imaging	imaging	NOUN
cana-3438	31	14	deep	deep	ADJ
cana-3438	31	15	learning	learning	NOUN
cana-3438	31	16	techniques	technique	NOUN
cana-3438	31	17	based	base	VERB
cana-3438	31	18	on	on	ADP
cana-3438	31	19	convolutional	convolutional	ADJ
cana-3438	31	20	neural	neural	ADJ
cana-3438	31	21	networks	network	NOUN
cana-3438	31	22	(	(	PUNCT
cana-3438	31	23	cnns	cnns	PROPN
cana-3438	31	24	)	)	PUNCT
cana-3438	31	25	quickly	quickly	ADV
cana-3438	31	26	became	become	VERB
cana-3438	31	27	the	the	DET
cana-3438	31	28	stateof	stateof	ADJ
cana-3438	31	29	-	-	PUNCT
cana-3438	31	30	the	the	DET
cana-3438	31	31	-	-	PUNCT
cana-3438	31	32	art	art	NOUN
cana-3438	31	33	for	for	ADP
cana-3438	31	34	detecting	detect	VERB
cana-3438	31	35	and	and	CCONJ
cana-3438	31	36	classifying	classify	VERB
cana-3438	31	37	features	feature	NOUN
cana-3438	31	38	in	in	ADP
cana-3438	31	39	medical	medical	ADJ
cana-3438	31	40	images	image	NOUN
cana-3438	31	41	.	.	PUNCT
cana-3438	32	1	different	different	ADJ
cana-3438	32	2	architectures	architecture	NOUN
cana-3438	32	3	have	have	AUX
cana-3438	32	4	been	be	AUX
cana-3438	32	5	added	add	VERB
cana-3438	32	6	on	on	ADP
cana-3438	32	7	top	top	NOUN
cana-3438	32	8	of	of	ADP
cana-3438	32	9	cnns	cnn	NOUN
cana-3438	32	10	,	,	PUNCT
cana-3438	32	11	including	include	VERB
cana-3438	32	12	residual	residual	ADJ
cana-3438	32	13	networks	network	NOUN
cana-3438	32	14	and	and	CCONJ
cana-3438	32	15	densely	densely	ADV
cana-3438	32	16	connected	connected	ADJ
cana-3438	32	17	networks	network	NOUN
cana-3438	32	18	,	,	PUNCT
cana-3438	32	19	to	to	PART
cana-3438	32	20	increase	increase	VERB
cana-3438	32	21	the	the	DET
cana-3438	32	22	performance	performance	NOUN
cana-3438	32	23	in	in	ADP
cana-3438	32	24	recognition	recognition	NOUN
cana-3438	32	25	tasks	task	NOUN
cana-3438	32	26	with	with	ADP
cana-3438	32	27	imaging	imaging	NOUN
cana-3438	32	28	data	datum	NOUN
cana-3438	32	29	[	[	X
cana-3438	32	30	10	10	NUM
cana-3438	32	31	,	,	PUNCT
cana-3438	32	32	11	11	NUM
cana-3438	32	33	]	]	PUNCT
cana-3438	32	34	.	.	PUNCT
cana-3438	33	1	some	some	PRON
cana-3438	33	2	of	of	ADP
cana-3438	33	3	the	the	DET
cana-3438	33	4	recent	recent	ADJ
cana-3438	33	5	works	work	NOUN
cana-3438	33	6	have	have	AUX
cana-3438	33	7	also	also	ADV
cana-3438	33	8	investigated	investigate	VERB
cana-3438	33	9	generative	generative	ADJ
cana-3438	33	10	adversarial	adversarial	ADJ
cana-3438	33	11	networks	network	NOUN
cana-3438	33	12	(	(	PUNCT
cana-3438	33	13	gans	gan	NOUN
cana-3438	33	14	)	)	PUNCT
cana-3438	33	15	for	for	ADP
cana-3438	33	16	image	image	NOUN
cana-3438	33	17	synthesising	synthesise	VERB
cana-3438	33	18	with	with	ADP
cana-3438	33	19	favourable	favourable	ADJ
cana-3438	33	20	results	result	NOUN
cana-3438	33	21	in	in	ADP
cana-3438	33	22	producing	produce	VERB
cana-3438	33	23	realistic	realistic	ADJ
cana-3438	33	24	images	image	NOUN
cana-3438	33	25	to	to	PART
cana-3438	33	26	provide	provide	VERB
cana-3438	33	27	additional	additional	ADJ
cana-3438	33	28	data	datum	NOUN
cana-3438	33	29	for	for	ADP
cana-3438	33	30	models	model	NOUN
cana-3438	33	31	requiring	require	VERB
cana-3438	33	32	a	a	DET
cana-3438	33	33	large	large	ADJ
cana-3438	33	34	amount	amount	NOUN
cana-3438	33	35	of	of	ADP
cana-3438	33	36	data	datum	NOUN
cana-3438	33	37	for	for	ADP
cana-3438	33	38	medical	medical	ADJ
cana-3438	33	39	imaging	imaging	NOUN
cana-3438	33	40	[	[	X
cana-3438	33	41	12	12	NUM
cana-3438	33	42	]	]	PUNCT
cana-3438	33	43	.	.	PUNCT
cana-3438	34	1	communications	communication	NOUN
cana-3438	34	2	on	on	ADP
cana-3438	34	3	applied	apply	VERB
cana-3438	34	4	nonlinear	nonlinear	ADJ
cana-3438	34	5	analysis	analysis	NOUN
cana-3438	34	6	issn	issn	NOUN
cana-3438	34	7	:	:	PUNCT
cana-3438	34	8	1074	1074	NUM
cana-3438	34	9	-	-	PUNCT
cana-3438	34	10	133x	133x	NUM
cana-3438	34	11	vol	vol	NOUN
cana-3438	34	12	32	32	NUM
cana-3438	34	13	no	no	NOUN
cana-3438	34	14	.	.	PUNCT
cana-3438	35	1	7s	7	NOUN
cana-3438	35	2	(	(	PUNCT
cana-3438	35	3	2025	2025	NUM
cana-3438	35	4	)	)	PUNCT
cana-3438	35	5	381	381	NUM
cana-3438	35	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	35	7	2.2	2.2	NUM
cana-3438	35	8	diagnostic	diagnostic	ADJ
cana-3438	35	9	imaging	imaging	NOUN
cana-3438	35	10	modalities	modality	NOUN
cana-3438	35	11	and	and	CCONJ
cana-3438	35	12	it	it	PRON
cana-3438	35	13	integration	integration	NOUN
cana-3438	35	14	(	(	PUNCT
cana-3438	35	15	x	x	NOUN
cana-3438	35	16	-	-	NOUN
cana-3438	35	17	rays	ray	NOUN
cana-3438	35	18	,	,	PUNCT
cana-3438	35	19	ct	ct	PROPN
cana-3438	35	20	,	,	PUNCT
cana-3438	35	21	mri	mri	NOUN
cana-3438	35	22	,	,	PUNCT
cana-3438	35	23	ultrasound	ultrasound	NOUN
cana-3438	35	24	)	)	PUNCT
cana-3438	35	25	medical	medical	ADJ
cana-3438	35	26	imaging	imaging	NOUN
cana-3438	35	27	includes	include	VERB
cana-3438	35	28	a	a	DET
cana-3438	35	29	variety	variety	NOUN
cana-3438	35	30	of	of	ADP
cana-3438	35	31	diagnostic	diagnostic	ADJ
cana-3438	35	32	modalities	modality	NOUN
cana-3438	35	33	,	,	PUNCT
cana-3438	35	34	each	each	PRON
cana-3438	35	35	providing	provide	VERB
cana-3438	35	36	meaningful	meaningful	ADJ
cana-3438	35	37	information	information	NOUN
cana-3438	35	38	about	about	ADP
cana-3438	35	39	the	the	DET
cana-3438	35	40	human	human	ADJ
cana-3438	35	41	body	body	NOUN
cana-3438	35	42	.	.	PUNCT
cana-3438	36	1	x	x	X
cana-3438	36	2	-	-	PUNCT
cana-3438	36	3	ray	ray	NOUN
cana-3438	36	4	and	and	CCONJ
cana-3438	36	5	ct	ct	PROPN
cana-3438	36	6	scans	scan	NOUN
cana-3438	36	7	are	be	AUX
cana-3438	36	8	popular	popular	ADJ
cana-3438	36	9	for	for	ADP
cana-3438	36	10	fast	fast	ADJ
cana-3438	36	11	diagnosis	diagnosis	NOUN
cana-3438	36	12	of	of	ADP
cana-3438	36	13	diseases	disease	NOUN
cana-3438	36	14	like	like	ADP
cana-3438	36	15	pneumonia	pneumonia	NOUN
cana-3438	36	16	[	[	X
cana-3438	36	17	13	13	NUM
cana-3438	36	18	]	]	PUNCT
cana-3438	36	19	,	,	PUNCT
cana-3438	36	20	cancer	cancer	NOUN
cana-3438	36	21	etc	etc	X
cana-3438	36	22	.	.	X
cana-3438	36	23	,	,	PUNCT
cana-3438	36	24	and	and	CCONJ
cana-3438	36	25	the	the	DET
cana-3438	36	26	deep	deep	ADJ
cana-3438	36	27	learning	learning	NOUN
cana-3438	36	28	applications	application	NOUN
cana-3438	36	29	cover	cover	VERB
cana-3438	36	30	all	all	DET
cana-3438	36	31	these	these	DET
cana-3438	36	32	modalities	modality	NOUN
cana-3438	36	33	.	.	PUNCT
cana-3438	37	1	mri	mri	NOUN
cana-3438	37	2	and	and	CCONJ
cana-3438	37	3	ultrasound	ultrasound	NOUN
cana-3438	37	4	are	be	AUX
cana-3438	37	5	slightly	slightly	ADV
cana-3438	37	6	more	more	ADV
cana-3438	37	7	complicated	complicated	ADJ
cana-3438	37	8	data	data	NOUN
cana-3438	37	9	sources	source	NOUN
cana-3438	37	10	that	that	PRON
cana-3438	37	11	have	have	AUX
cana-3438	37	12	also	also	ADV
cana-3438	37	13	had	have	VERB
cana-3438	37	14	the	the	DET
cana-3438	37	15	benefit	benefit	NOUN
cana-3438	37	16	of	of	ADP
cana-3438	37	17	progress	progress	NOUN
cana-3438	37	18	in	in	ADP
cana-3438	37	19	deep	deep	ADJ
cana-3438	37	20	learning	learning	NOUN
cana-3438	37	21	,	,	PUNCT
cana-3438	37	22	especially	especially	ADV
cana-3438	37	23	for	for	ADP
cana-3438	37	24	segmentation	segmentation	NOUN
cana-3438	37	25	tasks	task	NOUN
cana-3438	37	26	.	.	PUNCT
cana-3438	38	1	the	the	DET
cana-3438	38	2	incorporation	incorporation	NOUN
cana-3438	38	3	of	of	ADP
cana-3438	38	4	information	information	NOUN
cana-3438	38	5	technology	technology	NOUN
cana-3438	38	6	into	into	ADP
cana-3438	38	7	these	these	DET
cana-3438	38	8	modalities	modality	NOUN
cana-3438	38	9	improves	improve	VERB
cana-3438	38	10	access	access	NOUN
cana-3438	38	11	to	to	ADP
cana-3438	38	12	data	datum	NOUN
cana-3438	38	13	and	and	CCONJ
cana-3438	38	14	enables	enable	VERB
cana-3438	38	15	rapid	rapid	ADJ
cana-3438	38	16	diagnostic	diagnostic	ADJ
cana-3438	38	17	support	support	NOUN
cana-3438	38	18	so	so	SCONJ
cana-3438	38	19	that	that	SCONJ
cana-3438	38	20	automated	automate	VERB
cana-3438	38	21	tools	tool	NOUN
cana-3438	38	22	can	can	AUX
cana-3438	38	23	be	be	AUX
cana-3438	38	24	employed	employ	VERB
cana-3438	38	25	in	in	ADP
cana-3438	38	26	various	various	ADJ
cana-3438	38	27	clinical	clinical	ADJ
cana-3438	38	28	settings	setting	NOUN
cana-3438	38	29	[	[	X
cana-3438	38	30	14	14	NUM
cana-3438	38	31	,	,	PUNCT
cana-3438	38	32	15	15	NUM
cana-3438	38	33	]	]	PUNCT
cana-3438	38	34	.	.	PUNCT
cana-3438	39	1	2.3	2.3	NUM
cana-3438	39	2	cutting	cutting	NOUN
cana-3438	39	3	-	-	PUNCT
cana-3438	39	4	edge	edge	NOUN
cana-3438	39	5	algorithms	algorithm	NOUN
cana-3438	39	6	and	and	CCONJ
cana-3438	39	7	architectures	architecture	NOUN
cana-3438	39	8	(	(	PUNCT
cana-3438	39	9	cnns	cnns	PROPN
cana-3438	39	10	,	,	PUNCT
cana-3438	39	11	gans	gan	NOUN
cana-3438	39	12	,	,	PUNCT
cana-3438	39	13	transformer	transformer	NOUN
cana-3438	39	14	models	model	NOUN
cana-3438	39	15	)	)	PUNCT
cana-3438	39	16	cnns	cnn	NOUN
cana-3438	39	17	excel	excel	VERB
cana-3438	39	18	in	in	ADP
cana-3438	39	19	spatial	spatial	ADJ
cana-3438	39	20	pattern	pattern	NOUN
cana-3438	39	21	recognition	recognition	NOUN
cana-3438	39	22	,	,	PUNCT
cana-3438	39	23	they	they	PRON
cana-3438	39	24	have	have	AUX
cana-3438	39	25	been	be	AUX
cana-3438	39	26	the	the	DET
cana-3438	39	27	state	state	NOUN
cana-3438	39	28	-	-	PUNCT
cana-3438	39	29	of	of	ADP
cana-3438	39	30	-	-	PUNCT
cana-3438	39	31	the	the	DET
cana-3438	39	32	-	-	PUNCT
cana-3438	39	33	art	art	NOUN
cana-3438	39	34	architecture	architecture	NOUN
cana-3438	39	35	for	for	ADP
cana-3438	39	36	medical	medical	ADJ
cana-3438	39	37	imaging	imaging	NOUN
cana-3438	39	38	[	[	X
cana-3438	39	39	3	3	NUM
cana-3438	39	40	]	]	PUNCT
cana-3438	39	41	.	.	PUNCT
cana-3438	40	1	nevertheless	nevertheless	ADV
cana-3438	40	2	,	,	PUNCT
cana-3438	40	3	attention	attention	NOUN
cana-3438	40	4	-	-	PUNCT
cana-3438	40	5	based	base	VERB
cana-3438	40	6	models	model	NOUN
cana-3438	40	7	like	like	ADP
cana-3438	40	8	transformers	transformer	NOUN
cana-3438	40	9	which	which	PRON
cana-3438	40	10	typically	typically	ADV
cana-3438	40	11	process	process	VERB
cana-3438	40	12	sequential	sequential	ADJ
cana-3438	40	13	data	datum	NOUN
cana-3438	40	14	are	be	AUX
cana-3438	40	15	being	be	AUX
cana-3438	40	16	investigated	investigate	VERB
cana-3438	40	17	for	for	ADP
cana-3438	40	18	their	their	PRON
cana-3438	40	19	ability	ability	NOUN
cana-3438	40	20	to	to	PART
cana-3438	40	21	learn	learn	VERB
cana-3438	40	22	complex	complex	ADJ
cana-3438	40	23	dependencies	dependency	NOUN
cana-3438	40	24	in	in	ADP
cana-3438	40	25	medical	medical	ADJ
cana-3438	40	26	images	image	NOUN
cana-3438	40	27	[	[	X
cana-3438	40	28	16	16	NUM
cana-3438	40	29	]	]	PUNCT
cana-3438	40	30	.	.	PUNCT
cana-3438	41	1	in	in	ADP
cana-3438	41	2	addition	addition	NOUN
cana-3438	41	3	,	,	PUNCT
cana-3438	41	4	gans	gan	NOUN
cana-3438	41	5	have	have	VERB
cana-3438	41	6	a	a	DET
cana-3438	41	7	proven	prove	VERB
cana-3438	41	8	role	role	NOUN
cana-3438	41	9	in	in	ADP
cana-3438	41	10	medical	medical	ADJ
cana-3438	41	11	imaging	imaging	NOUN
cana-3438	41	12	where	where	SCONJ
cana-3438	41	13	they	they	PRON
cana-3438	41	14	are	be	AUX
cana-3438	41	15	employed	employ	VERB
cana-3438	41	16	for	for	ADP
cana-3438	41	17	data	datum	NOUN
cana-3438	41	18	augmentation	augmentation	NOUN
cana-3438	41	19	and	and	CCONJ
cana-3438	41	20	image	image	NOUN
cana-3438	41	21	reconstruction	reconstruction	NOUN
cana-3438	41	22	to	to	PART
cana-3438	41	23	assist	assist	VERB
cana-3438	41	24	when	when	SCONJ
cana-3438	41	25	labelled	label	VERB
cana-3438	41	26	data	datum	NOUN
cana-3438	41	27	is	be	AUX
cana-3438	41	28	scarce	scarce	ADJ
cana-3438	41	29	[	[	X
cana-3438	41	30	17	17	NUM
cana-3438	41	31	]	]	PUNCT
cana-3438	41	32	.	.	PUNCT
cana-3438	42	1	different	different	ADJ
cana-3438	42	2	architectures	architecture	NOUN
cana-3438	42	3	present	present	VERB
cana-3438	42	4	their	their	PRON
cana-3438	42	5	advantages	advantage	NOUN
cana-3438	42	6	and	and	CCONJ
cana-3438	42	7	disadvantages	disadvantage	NOUN
cana-3438	42	8	,	,	PUNCT
cana-3438	42	9	with	with	ADP
cana-3438	42	10	continual	continual	ADJ
cana-3438	42	11	work	work	NOUN
cana-3438	42	12	being	be	AUX
cana-3438	42	13	done	do	VERB
cana-3438	42	14	to	to	PART
cana-3438	42	15	refine	refine	VERB
cana-3438	42	16	these	these	DET
cana-3438	42	17	models	model	NOUN
cana-3438	42	18	for	for	ADP
cana-3438	42	19	diagnostic	diagnostic	ADJ
cana-3438	42	20	performance	performance	NOUN
cana-3438	42	21	and	and	CCONJ
cana-3438	42	22	clinical	clinical	ADJ
cana-3438	42	23	utility	utility	NOUN
cana-3438	42	24	.	.	PUNCT
cana-3438	43	1	2.4	2.4	NUM
cana-3438	43	2	significant	significant	ADJ
cana-3438	43	3	technology	technology	NOUN
cana-3438	43	4	-	-	PUNCT
cana-3438	43	5	related	relate	VERB
cana-3438	43	6	issues	issue	NOUN
cana-3438	43	7	in	in	ADP
cana-3438	43	8	medical	medical	ADJ
cana-3438	43	9	imaging	imaging	NOUN
cana-3438	43	10	(	(	PUNCT
cana-3438	43	11	data	data	NOUN
cana-3438	43	12	privacy	privacy	NOUN
cana-3438	43	13	,	,	PUNCT
cana-3438	43	14	model	model	NOUN
cana-3438	43	15	explainability	explainability	NOUN
cana-3438	43	16	,	,	PUNCT
cana-3438	43	17	scalability	scalability	NOUN
cana-3438	43	18	)	)	PUNCT
cana-3438	43	19	inherent	inherent	ADJ
cana-3438	43	20	technology	technology	NOUN
cana-3438	43	21	-	-	PUNCT
cana-3438	43	22	related	relate	VERB
cana-3438	43	23	problems	problem	NOUN
cana-3438	43	24	remain	remain	VERB
cana-3438	43	25	that	that	PRON
cana-3438	43	26	impede	impede	VERB
cana-3438	43	27	the	the	DET
cana-3438	43	28	realisation	realisation	NOUN
cana-3438	43	29	of	of	ADP
cana-3438	43	30	deep	deep	ADJ
cana-3438	43	31	learning	learning	NOUN
cana-3438	43	32	potential	potential	NOUN
cana-3438	43	33	for	for	ADP
cana-3438	43	34	medical	medical	ADJ
cana-3438	43	35	applications	application	NOUN
cana-3438	43	36	on	on	ADP
cana-3438	43	37	imaging	imaging	NOUN
cana-3438	43	38	data	datum	NOUN
cana-3438	43	39	.	.	PUNCT
cana-3438	44	1	data	datum	NOUN
cana-3438	44	2	privacy	privacy	NOUN
cana-3438	44	3	still	still	ADV
cana-3438	44	4	looms	loom	VERB
cana-3438	44	5	large	large	ADJ
cana-3438	44	6	,	,	PUNCT
cana-3438	44	7	given	give	VERB
cana-3438	44	8	the	the	DET
cana-3438	44	9	nature	nature	NOUN
cana-3438	44	10	of	of	ADP
cana-3438	44	11	medical	medical	ADJ
cana-3438	44	12	imaging	imaging	NOUN
cana-3438	44	13	;	;	PUNCT
cana-3438	44	14	some	some	DET
cana-3438	44	15	sensitive	sensitive	ADJ
cana-3438	44	16	patient	patient	ADJ
cana-3438	44	17	information	information	NOUN
cana-3438	44	18	must	must	AUX
cana-3438	44	19	be	be	AUX
cana-3438	44	20	protected	protect	VERB
cana-3438	44	21	via	via	ADP
cana-3438	44	22	regulatory	regulatory	ADJ
cana-3438	44	23	frameworks	framework	NOUN
cana-3438	44	24	like	like	ADP
cana-3438	44	25	hipaa	hipaa	NOUN
cana-3438	44	26	.	.	PUNCT
cana-3438	45	1	one	one	NUM
cana-3438	45	2	of	of	ADP
cana-3438	45	3	the	the	DET
cana-3438	45	4	key	key	ADJ
cana-3438	45	5	requirements	requirement	NOUN
cana-3438	45	6	is	be	AUX
cana-3438	45	7	explainability	explainability	NOUN
cana-3438	45	8	,	,	PUNCT
cana-3438	45	9	or	or	CCONJ
cana-3438	45	10	how	how	SCONJ
cana-3438	45	11	interpretable	interpretable	ADJ
cana-3438	45	12	these	these	DET
cana-3438	45	13	decisions	decision	NOUN
cana-3438	45	14	made	make	VERB
cana-3438	45	15	by	by	ADP
cana-3438	45	16	the	the	DET
cana-3438	45	17	model	model	NOUN
cana-3438	45	18	because	because	SCONJ
cana-3438	45	19	clinical	clinical	ADJ
cana-3438	45	20	professionals	professional	NOUN
cana-3438	45	21	must	must	AUX
cana-3438	45	22	trust	trust	VERB
cana-3438	45	23	an	an	DET
cana-3438	45	24	automated	automate	VERB
cana-3438	45	25	tool	tool	NOUN
cana-3438	45	26	before	before	SCONJ
cana-3438	45	27	it	it	PRON
cana-3438	45	28	can	can	AUX
cana-3438	45	29	be	be	AUX
cana-3438	45	30	integrated	integrate	VERB
cana-3438	45	31	into	into	ADP
cana-3438	45	32	diagnostic	diagnostic	ADJ
cana-3438	45	33	workflows	workflow	NOUN
cana-3438	45	34	.	.	PUNCT
cana-3438	46	1	in	in	ADP
cana-3438	46	2	addition	addition	NOUN
cana-3438	46	3	,	,	PUNCT
cana-3438	46	4	deep	deep	ADJ
cana-3438	46	5	learning	learning	NOUN
cana-3438	46	6	models	model	NOUN
cana-3438	46	7	will	will	AUX
cana-3438	46	8	be	be	AUX
cana-3438	46	9	applied	apply	VERB
cana-3438	46	10	to	to	ADP
cana-3438	46	11	various	various	ADJ
cana-3438	46	12	healthcare	healthcare	NOUN
cana-3438	46	13	settings	setting	NOUN
cana-3438	46	14	with	with	ADP
cana-3438	46	15	different	different	ADJ
cana-3438	46	16	infrastructure	infrastructure	NOUN
cana-3438	46	17	capabilities	capability	NOUN
cana-3438	46	18	;	;	PUNCT
cana-3438	46	19	hence	hence	ADV
cana-3438	46	20	scalability	scalability	NOUN
cana-3438	46	21	becomes	become	VERB
cana-3438	46	22	more	more	ADV
cana-3438	46	23	challenging	challenging	ADJ
cana-3438	46	24	as	as	ADV
cana-3438	46	25	well	well	ADV
cana-3438	46	26	[	[	X
cana-3438	46	27	18	18	NUM
cana-3438	46	28	,	,	PUNCT
cana-3438	46	29	19	19	NUM
cana-3438	46	30	]	]	PUNCT
cana-3438	46	31	.	.	PUNCT
cana-3438	47	1	2.5	2.5	NUM
cana-3438	47	2	recent	recent	ADJ
cana-3438	47	3	advances	advance	NOUN
cana-3438	47	4	and	and	CCONJ
cana-3438	47	5	their	their	PRON
cana-3438	47	6	it	it	NOUN
cana-3438	47	7	implications	implication	NOUN
cana-3438	47	8	(	(	PUNCT
cana-3438	47	9	e.g.	e.g.	ADV
cana-3438	47	10	,	,	PUNCT
cana-3438	47	11	federated	federated	ADJ
cana-3438	47	12	learning	learning	NOUN
cana-3438	47	13	,	,	PUNCT
cana-3438	47	14	transfer	transfer	NOUN
cana-3438	47	15	learning	learning	NOUN
cana-3438	47	16	in	in	ADP
cana-3438	47	17	radiology	radiology	NOUN
cana-3438	47	18	)	)	PUNCT
cana-3438	47	19	as	as	SCONJ
cana-3438	47	20	privacy	privacy	NOUN
cana-3438	47	21	and	and	CCONJ
cana-3438	47	22	scalability	scalability	NOUN
cana-3438	47	23	issues	issue	NOUN
cana-3438	47	24	arise	arise	VERB
cana-3438	47	25	,	,	PUNCT
cana-3438	47	26	new	new	ADJ
cana-3438	47	27	techniques	technique	NOUN
cana-3438	47	28	such	such	ADJ
cana-3438	47	29	as	as	ADP
cana-3438	47	30	federated	federated	ADJ
cana-3438	47	31	learning	learning	NOUN
cana-3438	47	32	have	have	AUX
cana-3438	47	33	been	be	AUX
cana-3438	47	34	developed	develop	VERB
cana-3438	47	35	to	to	PART
cana-3438	47	36	enable	enable	VERB
cana-3438	47	37	training	training	NOUN
cana-3438	47	38	across	across	ADP
cana-3438	47	39	multiple	multiple	ADJ
cana-3438	47	40	institutions	institution	NOUN
cana-3438	47	41	without	without	ADP
cana-3438	47	42	sharing	share	VERB
cana-3438	47	43	patient	patient	ADJ
cana-3438	47	44	data	datum	NOUN
cana-3438	47	45	,	,	PUNCT
cana-3438	47	46	further	far	ADV
cana-3438	47	47	solving	solve	VERB
cana-3438	47	48	some	some	PRON
cana-3438	47	49	of	of	ADP
cana-3438	47	50	these	these	DET
cana-3438	47	51	issues	issue	NOUN
cana-3438	47	52	.	.	PUNCT
cana-3438	48	1	it	it	PRON
cana-3438	48	2	has	have	VERB
cana-3438	48	3	the	the	DET
cana-3438	48	4	potential	potential	NOUN
cana-3438	48	5	to	to	PART
cana-3438	48	6	create	create	VERB
cana-3438	48	7	strong	strong	ADJ
cana-3438	48	8	models	model	NOUN
cana-3438	48	9	by	by	ADP
cana-3438	48	10	aggregating	aggregate	VERB
cana-3438	48	11	data	datum	NOUN
cana-3438	48	12	from	from	ADP
cana-3438	48	13	different	different	ADJ
cana-3438	48	14	sources	source	NOUN
cana-3438	48	15	without	without	ADP
cana-3438	48	16	disclosing	disclose	VERB
cana-3438	48	17	it	it	PRON
cana-3438	48	18	[	[	X
cana-3438	48	19	20	20	NUM
cana-3438	48	20	]	]	PUNCT
cana-3438	48	21	.	.	PUNCT
cana-3438	49	1	another	another	DET
cana-3438	49	2	method	method	NOUN
cana-3438	49	3	that	that	PRON
cana-3438	49	4	has	have	AUX
cana-3438	49	5	emerged	emerge	VERB
cana-3438	49	6	in	in	ADP
cana-3438	49	7	prominence	prominence	NOUN
cana-3438	49	8	is	be	AUX
cana-3438	49	9	transfer	transfer	NOUN
cana-3438	49	10	learning	learning	NOUN
cana-3438	49	11	,	,	PUNCT
cana-3438	49	12	where	where	SCONJ
cana-3438	49	13	models	model	NOUN
cana-3438	49	14	pre	pre	VERB
cana-3438	49	15	-	-	VERB
cana-3438	49	16	trained	train	VERB
cana-3438	49	17	on	on	ADP
cana-3438	49	18	large	large	ADJ
cana-3438	49	19	datasets	dataset	NOUN
cana-3438	49	20	are	be	AUX
cana-3438	49	21	fine	fine	ADV
cana-3438	49	22	-	-	PUNCT
cana-3438	49	23	tuned	tune	VERB
cana-3438	49	24	to	to	ADP
cana-3438	49	25	the	the	DET
cana-3438	49	26	requirements	requirement	NOUN
cana-3438	49	27	of	of	ADP
cana-3438	49	28	a	a	DET
cana-3438	49	29	specific	specific	ADJ
cana-3438	49	30	medical	medical	ADJ
cana-3438	49	31	imaging	imaging	NOUN
cana-3438	49	32	task	task	NOUN
cana-3438	49	33	with	with	ADP
cana-3438	49	34	significantly	significantly	ADV
cana-3438	49	35	less	less	ADV
cana-3438	49	36	labelled	labelled	ADJ
cana-3438	49	37	data	datum	NOUN
cana-3438	49	38	and	and	CCONJ
cana-3438	49	39	computation	computation	NOUN
cana-3438	49	40	[	[	X
cana-3438	49	41	21	21	NUM
cana-3438	49	42	]	]	PUNCT
cana-3438	49	43	.	.	PUNCT
cana-3438	50	1	2.6	2.6	NUM
cana-3438	50	2	identified	identify	VERB
cana-3438	50	3	gaps	gap	NOUN
cana-3438	50	4	and	and	CCONJ
cana-3438	50	5	unresolved	unresolve	VERB
cana-3438	50	6	it	it	PRON
cana-3438	50	7	challenges	challenge	VERB
cana-3438	50	8	nevertheless	nevertheless	ADV
cana-3438	51	1	,	,	PUNCT
cana-3438	51	2	there	there	PRON
cana-3438	51	3	are	be	VERB
cana-3438	51	4	still	still	ADV
cana-3438	51	5	multiple	multiple	ADJ
cana-3438	51	6	gaps	gap	NOUN
cana-3438	51	7	in	in	ADP
cana-3438	51	8	the	the	DET
cana-3438	51	9	application	application	NOUN
cana-3438	51	10	of	of	ADP
cana-3438	51	11	deep	deep	ADJ
cana-3438	51	12	learning	learning	NOUN
cana-3438	51	13	methodologies	methodology	NOUN
cana-3438	51	14	in	in	ADP
cana-3438	51	15	medical	medical	ADJ
cana-3438	51	16	imaging	imaging	NOUN
cana-3438	51	17	.	.	PUNCT
cana-3438	52	1	a	a	DET
cana-3438	52	2	major	major	ADJ
cana-3438	52	3	challenge	challenge	NOUN
cana-3438	52	4	is	be	AUX
cana-3438	52	5	the	the	DET
cana-3438	52	6	heterogeneity	heterogeneity	NOUN
cana-3438	52	7	of	of	ADP
cana-3438	52	8	imaging	imaging	NOUN
cana-3438	52	9	modalities	modality	NOUN
cana-3438	52	10	and	and	CCONJ
cana-3438	52	11	data	datum	NOUN
cana-3438	52	12	formats	format	NOUN
cana-3438	52	13	that	that	PRON
cana-3438	52	14	makes	make	VERB
cana-3438	52	15	it	it	PRON
cana-3438	52	16	difficult	difficult	ADJ
cana-3438	52	17	to	to	PART
cana-3438	52	18	train	train	VERB
cana-3438	52	19	and	and	CCONJ
cana-3438	52	20	evaluate	evaluate	VERB
cana-3438	52	21	models	model	NOUN
cana-3438	52	22	.	.	PUNCT
cana-3438	53	1	third	third	ADJ
cana-3438	53	2	,	,	PUNCT
cana-3438	53	3	the	the	DET
cana-3438	53	4	thirst	thirst	NOUN
cana-3438	53	5	for	for	ADP
cana-3438	53	6	explainable	explainable	ADJ
cana-3438	53	7	ai	ai	NOUN
cana-3438	53	8	in	in	ADP
cana-3438	53	9	clinical	clinical	ADJ
cana-3438	53	10	scenarios	scenario	NOUN
cana-3438	53	11	is	be	AUX
cana-3438	53	12	still	still	ADV
cana-3438	53	13	an	an	DET
cana-3438	53	14	open	open	ADJ
cana-3438	53	15	problem	problem	NOUN
cana-3438	53	16	,	,	PUNCT
cana-3438	53	17	as	as	SCONJ
cana-3438	53	18	present	present	ADJ
cana-3438	53	19	approaches	approach	NOUN
cana-3438	53	20	typically	typically	ADV
cana-3438	53	21	lack	lack	VERB
cana-3438	53	22	the	the	DET
cana-3438	53	23	interpretability	interpretability	NOUN
cana-3438	53	24	of	of	ADP
cana-3438	53	25	their	their	PRON
cana-3438	53	26	decisions	decision	NOUN
cana-3438	53	27	.	.	PUNCT
cana-3438	54	1	to	to	PART
cana-3438	54	2	overcome	overcome	VERB
cana-3438	54	3	these	these	DET
cana-3438	54	4	challenges	challenge	NOUN
cana-3438	54	5	,	,	PUNCT
cana-3438	54	6	future	future	ADJ
cana-3438	54	7	research	research	NOUN
cana-3438	54	8	needs	need	VERB
cana-3438	54	9	to	to	PART
cana-3438	54	10	focus	focus	VERB
cana-3438	54	11	on	on	ADP
cana-3438	54	12	improving	improve	VERB
cana-3438	54	13	model	model	NOUN
cana-3438	54	14	transparency	transparency	NOUN
cana-3438	54	15	,	,	PUNCT
cana-3438	54	16	standardization	standardization	NOUN
cana-3438	54	17	and	and	CCONJ
cana-3438	54	18	scalability	scalability	NOUN
cana-3438	54	19	in	in	ADP
cana-3438	54	20	heterogeneous	heterogeneous	ADJ
cana-3438	54	21	clinical	clinical	ADJ
cana-3438	54	22	settings	setting	NOUN
cana-3438	54	23	[	[	X
cana-3438	54	24	22	22	NUM
cana-3438	54	25	,	,	PUNCT
cana-3438	54	26	23	23	NUM
cana-3438	54	27	]	]	PUNCT
cana-3438	54	28	.	.	PUNCT
cana-3438	55	1	communications	communication	NOUN
cana-3438	55	2	on	on	ADP
cana-3438	55	3	applied	apply	VERB
cana-3438	55	4	nonlinear	nonlinear	ADJ
cana-3438	55	5	analysis	analysis	NOUN
cana-3438	55	6	issn	issn	NOUN
cana-3438	55	7	:	:	PUNCT
cana-3438	55	8	1074	1074	NUM
cana-3438	55	9	-	-	PUNCT
cana-3438	55	10	133x	133x	NUM
cana-3438	55	11	vol	vol	NOUN
cana-3438	55	12	32	32	NUM
cana-3438	55	13	no	no	NOUN
cana-3438	55	14	.	.	PUNCT
cana-3438	56	1	7s	7	NOUN
cana-3438	56	2	(	(	PUNCT
cana-3438	56	3	2025	2025	NUM
cana-3438	56	4	)	)	PUNCT
cana-3438	56	5	382	382	NUM
cana-3438	56	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	56	7	3	3	X
cana-3438	56	8	.	.	PUNCT
cana-3438	56	9	methodology	methodology	NOUN
cana-3438	56	10	3.1	3.1	NUM
cana-3438	56	11	research	research	NOUN
cana-3438	56	12	design	design	NOUN
cana-3438	56	13	:	:	PUNCT
cana-3438	56	14	leveraging	leverage	VERB
cana-3438	56	15	it	it	PRON
cana-3438	56	16	in	in	ADP
cana-3438	56	17	model	model	NOUN
cana-3438	56	18	development	development	NOUN
cana-3438	56	19	the	the	DET
cana-3438	56	20	research	research	NOUN
cana-3438	56	21	design	design	NOUN
cana-3438	56	22	centres	centre	NOUN
cana-3438	56	23	on	on	ADP
cana-3438	56	24	employing	employ	VERB
cana-3438	56	25	advanced	advanced	ADJ
cana-3438	56	26	it	it	PRON
cana-3438	56	27	solutions	solution	VERB
cana-3438	56	28	to	to	PART
cana-3438	56	29	optimize	optimize	VERB
cana-3438	56	30	deep	deep	ADJ
cana-3438	56	31	learning	learning	NOUN
cana-3438	56	32	models	model	NOUN
cana-3438	56	33	specifically	specifically	ADV
cana-3438	56	34	for	for	ADP
cana-3438	56	35	radiological	radiological	ADJ
cana-3438	56	36	diagnostics	diagnostic	NOUN
cana-3438	56	37	.	.	PUNCT
cana-3438	57	1	the	the	DET
cana-3438	57	2	approach	approach	NOUN
cana-3438	57	3	includes	include	VERB
cana-3438	57	4	:	:	PUNCT
cana-3438	57	5	●	●	PUNCT
cana-3438	57	6	infrastructure	infrastructure	NOUN
cana-3438	57	7	:	:	PUNCT
cana-3438	57	8	using	use	VERB
cana-3438	57	9	high	high	ADJ
cana-3438	57	10	-	-	PUNCT
cana-3438	57	11	performance	performance	NOUN
cana-3438	57	12	computing	computing	NOUN
cana-3438	57	13	environments	environment	NOUN
cana-3438	57	14	with	with	ADP
cana-3438	57	15	gpu	gpu	PROPN
cana-3438	57	16	clusters	cluster	NOUN
cana-3438	57	17	to	to	PART
cana-3438	57	18	support	support	VERB
cana-3438	57	19	extensive	extensive	ADJ
cana-3438	57	20	computational	computational	ADJ
cana-3438	57	21	demands	demand	NOUN
cana-3438	57	22	.	.	PUNCT
cana-3438	58	1	●	●	PUNCT
cana-3438	58	2	model	model	NOUN
cana-3438	58	3	development	development	NOUN
cana-3438	58	4	pipeline	pipeline	NOUN
cana-3438	58	5	:	:	PUNCT
cana-3438	58	6	a	a	DET
cana-3438	58	7	modular	modular	ADJ
cana-3438	58	8	pipeline	pipeline	NOUN
cana-3438	58	9	that	that	PRON
cana-3438	58	10	encompasses	encompass	VERB
cana-3438	58	11	data	datum	NOUN
cana-3438	58	12	preprocessing	preprocessing	NOUN
cana-3438	58	13	,	,	PUNCT
cana-3438	58	14	model	model	NOUN
cana-3438	58	15	training	training	NOUN
cana-3438	58	16	,	,	PUNCT
cana-3438	58	17	validation	validation	NOUN
cana-3438	58	18	,	,	PUNCT
cana-3438	58	19	and	and	CCONJ
cana-3438	58	20	storage	storage	NOUN
cana-3438	58	21	,	,	PUNCT
cana-3438	58	22	allowing	allow	VERB
cana-3438	58	23	each	each	DET
cana-3438	58	24	stage	stage	NOUN
cana-3438	58	25	to	to	PART
cana-3438	58	26	be	be	AUX
cana-3438	58	27	independently	independently	ADV
cana-3438	58	28	adjusted	adjust	VERB
cana-3438	58	29	as	as	ADP
cana-3438	58	30	required	require	VERB
cana-3438	58	31	for	for	ADP
cana-3438	58	32	different	different	ADJ
cana-3438	58	33	imaging	imaging	NOUN
cana-3438	58	34	modalities	modality	NOUN
cana-3438	58	35	.	.	PUNCT
cana-3438	59	1	●	●	PUNCT
cana-3438	59	2	security	security	NOUN
cana-3438	59	3	compliance	compliance	NOUN
cana-3438	59	4	:	:	PUNCT
cana-3438	59	5	compliance	compliance	NOUN
cana-3438	59	6	with	with	ADP
cana-3438	59	7	healthcare	healthcare	NOUN
cana-3438	59	8	regulations	regulation	NOUN
cana-3438	59	9	,	,	PUNCT
cana-3438	59	10	such	such	ADJ
cana-3438	59	11	as	as	ADP
cana-3438	59	12	hipaa	hipaa	NOUN
cana-3438	59	13	,	,	PUNCT
cana-3438	59	14	through	through	ADP
cana-3438	59	15	secure	secure	ADJ
cana-3438	59	16	data	datum	NOUN
cana-3438	59	17	transfer	transfer	NOUN
cana-3438	59	18	protocols	protocol	NOUN
cana-3438	59	19	and	and	CCONJ
cana-3438	59	20	federated	federated	ADJ
cana-3438	59	21	learning	learning	NOUN
cana-3438	59	22	models	model	NOUN
cana-3438	59	23	,	,	PUNCT
cana-3438	59	24	where	where	SCONJ
cana-3438	59	25	data	datum	NOUN
cana-3438	59	26	remains	remain	VERB
cana-3438	59	27	within	within	ADP
cana-3438	59	28	clinical	clinical	ADJ
cana-3438	59	29	settings	setting	NOUN
cana-3438	59	30	while	while	SCONJ
cana-3438	59	31	models	model	NOUN
cana-3438	59	32	are	be	AUX
cana-3438	59	33	trained	train	VERB
cana-3438	59	34	across	across	ADP
cana-3438	59	35	multiple	multiple	ADJ
cana-3438	59	36	sites	site	NOUN
cana-3438	59	37	.	.	PUNCT
cana-3438	60	1	table	table	NOUN
cana-3438	60	2	1	1	NUM
cana-3438	60	3	:	:	PUNCT
cana-3438	60	4	research	research	NOUN
cana-3438	60	5	design	design	NOUN
cana-3438	60	6	components	component	NOUN
cana-3438	60	7	component	component	NOUN
cana-3438	60	8	description	description	NOUN
cana-3438	60	9	computing	compute	VERB
cana-3438	60	10	infrastructure	infrastructure	NOUN
cana-3438	60	11	gpu	gpu	PROPN
cana-3438	60	12	clusters	cluster	NOUN
cana-3438	60	13	to	to	PART
cana-3438	60	14	handle	handle	VERB
cana-3438	60	15	large	large	ADJ
cana-3438	60	16	medical	medical	ADJ
cana-3438	60	17	imaging	imaging	NOUN
cana-3438	60	18	datasets	dataset	NOUN
cana-3438	60	19	data	datum	NOUN
cana-3438	60	20	security	security	NOUN
cana-3438	60	21	compliance	compliance	NOUN
cana-3438	60	22	federated	federate	VERB
cana-3438	60	23	learning	learning	NOUN
cana-3438	60	24	to	to	PART
cana-3438	60	25	ensure	ensure	VERB
cana-3438	60	26	data	datum	NOUN
cana-3438	60	27	privacy	privacy	NOUN
cana-3438	60	28	modular	modular	ADJ
cana-3438	60	29	design	design	NOUN
cana-3438	60	30	independent	independent	ADJ
cana-3438	60	31	modules	module	NOUN
cana-3438	60	32	for	for	ADP
cana-3438	60	33	preprocessing	preprocessing	NOUN
cana-3438	60	34	,	,	PUNCT
cana-3438	60	35	training	training	NOUN
cana-3438	60	36	,	,	PUNCT
cana-3438	60	37	and	and	CCONJ
cana-3438	60	38	testing	test	VERB
cana-3438	60	39	clinical	clinical	ADJ
cana-3438	60	40	feasibility	feasibility	NOUN
cana-3438	60	41	compatibility	compatibility	NOUN
cana-3438	60	42	with	with	ADP
cana-3438	60	43	radiology	radiology	NOUN
cana-3438	60	44	software	software	NOUN
cana-3438	60	45	and	and	CCONJ
cana-3438	60	46	workflows	workflow	VERB
cana-3438	60	47	3.2	3.2	NUM
cana-3438	60	48	data	datum	NOUN
cana-3438	60	49	collection	collection	NOUN
cana-3438	60	50	:	:	PUNCT
cana-3438	60	51	addressing	address	VERB
cana-3438	60	52	privacy	privacy	NOUN
cana-3438	60	53	and	and	CCONJ
cana-3438	60	54	security	security	NOUN
cana-3438	60	55	in	in	ADP
cana-3438	60	56	medical	medical	ADJ
cana-3438	60	57	data	datum	NOUN
cana-3438	60	58	the	the	DET
cana-3438	60	59	data	datum	NOUN
cana-3438	60	60	utilized	utilize	VERB
cana-3438	60	61	for	for	ADP
cana-3438	60	62	this	this	DET
cana-3438	60	63	research	research	NOUN
cana-3438	60	64	was	be	AUX
cana-3438	60	65	collected	collect	VERB
cana-3438	60	66	from	from	ADP
cana-3438	60	67	publicly	publicly	ADV
cana-3438	60	68	available	available	ADJ
cana-3438	60	69	repositories	repository	NOUN
cana-3438	60	70	such	such	ADJ
cana-3438	60	71	as	as	ADP
cana-3438	60	72	the	the	DET
cana-3438	60	73	nih	nih	PROPN
cana-3438	60	74	chest	chest	PROPN
cana-3438	60	75	x	x	PROPN
cana-3438	60	76	-	-	NOUN
cana-3438	60	77	ray	ray	NOUN
cana-3438	60	78	dataset	dataset	NOUN
cana-3438	60	79	and	and	CCONJ
cana-3438	60	80	mimic	mimic	ADJ
cana-3438	60	81	-	-	PUNCT
cana-3438	60	82	cxr	cxr	NOUN
cana-3438	60	83	,	,	PUNCT
cana-3438	60	84	as	as	ADV
cana-3438	60	85	well	well	ADV
cana-3438	60	86	as	as	ADP
cana-3438	60	87	secure	secure	ADJ
cana-3438	60	88	,	,	PUNCT
cana-3438	60	89	institutional	institutional	ADJ
cana-3438	60	90	datasets	dataset	NOUN
cana-3438	60	91	compliant	compliant	ADJ
cana-3438	60	92	with	with	ADP
cana-3438	60	93	medical	medical	ADJ
cana-3438	60	94	data	data	NOUN
cana-3438	60	95	standards	standard	NOUN
cana-3438	60	96	[	[	X
cana-3438	60	97	7	7	NUM
cana-3438	60	98	,	,	PUNCT
cana-3438	60	99	8	8	NUM
cana-3438	60	100	]	]	PUNCT
cana-3438	60	101	.	.	PUNCT
cana-3438	61	1	security	security	NOUN
cana-3438	61	2	measures	measure	NOUN
cana-3438	61	3	included	include	VERB
cana-3438	61	4	data	datum	NOUN
cana-3438	61	5	anonymization	anonymization	NOUN
cana-3438	61	6	,	,	PUNCT
cana-3438	61	7	encryption	encryption	NOUN
cana-3438	61	8	,	,	PUNCT
cana-3438	61	9	and	and	CCONJ
cana-3438	61	10	access	access	NOUN
cana-3438	61	11	controls	control	NOUN
cana-3438	61	12	to	to	PART
cana-3438	61	13	prevent	prevent	VERB
cana-3438	61	14	unauthorized	unauthorized	ADJ
cana-3438	61	15	access	access	NOUN
cana-3438	61	16	.	.	PUNCT
cana-3438	62	1	1	1	X
cana-3438	62	2	.	.	X
cana-3438	62	3	data	datum	NOUN
cana-3438	62	4	sources	source	NOUN
cana-3438	62	5	:	:	PUNCT
cana-3438	62	6	nih	nih	PROPN
cana-3438	62	7	and	and	CCONJ
cana-3438	62	8	mimic	mimic	ADJ
cana-3438	62	9	-	-	PUNCT
cana-3438	62	10	cxr	cxr	NOUN
cana-3438	62	11	datasets	dataset	NOUN
cana-3438	62	12	provide	provide	VERB
cana-3438	62	13	diverse	diverse	ADJ
cana-3438	62	14	labelled	label	VERB
cana-3438	62	15	samples	sample	NOUN
cana-3438	62	16	essential	essential	ADJ
cana-3438	62	17	for	for	ADP
cana-3438	62	18	training	training	NOUN
cana-3438	62	19	and	and	CCONJ
cana-3438	62	20	testing	testing	NOUN
cana-3438	62	21	.	.	PUNCT
cana-3438	63	1	2	2	X
cana-3438	63	2	.	.	X
cana-3438	63	3	data	datum	NOUN
cana-3438	63	4	access	access	NOUN
cana-3438	63	5	protocols	protocol	NOUN
cana-3438	63	6	:	:	PUNCT
cana-3438	63	7	data	datum	NOUN
cana-3438	63	8	is	be	AUX
cana-3438	63	9	encrypted	encrypt	VERB
cana-3438	63	10	during	during	ADP
cana-3438	63	11	transfer	transfer	NOUN
cana-3438	63	12	and	and	CCONJ
cana-3438	63	13	stored	store	VERB
cana-3438	63	14	in	in	ADP
cana-3438	63	15	hipaa	hipaa	NOUN
cana-3438	63	16	-	-	PUNCT
cana-3438	63	17	compliant	compliant	NOUN
cana-3438	63	18	databases	database	NOUN
cana-3438	63	19	,	,	PUNCT
cana-3438	63	20	with	with	ADP
cana-3438	63	21	secure	secure	ADJ
cana-3438	63	22	access	access	NOUN
cana-3438	63	23	limited	limit	VERB
cana-3438	63	24	to	to	ADP
cana-3438	63	25	authorized	authorize	VERB
cana-3438	63	26	personnel	personnel	NOUN
cana-3438	63	27	.	.	PUNCT
cana-3438	64	1	the	the	DET
cana-3438	64	2	privacy	privacy	NOUN
cana-3438	64	3	challenges	challenge	NOUN
cana-3438	64	4	are	be	AUX
cana-3438	64	5	mitigated	mitigate	VERB
cana-3438	64	6	by	by	ADP
cana-3438	64	7	implementing	implement	VERB
cana-3438	64	8	federated	federated	ADJ
cana-3438	64	9	learning	learning	NOUN
cana-3438	64	10	(	(	PUNCT
cana-3438	64	11	fl	fl	NOUN
cana-3438	64	12	)	)	PUNCT
cana-3438	64	13	protocols	protocol	NOUN
cana-3438	64	14	,	,	PUNCT
cana-3438	64	15	ensuring	ensure	VERB
cana-3438	64	16	that	that	SCONJ
cana-3438	64	17	patient	patient	ADJ
cana-3438	64	18	data	datum	NOUN
cana-3438	64	19	remains	remain	VERB
cana-3438	64	20	within	within	ADP
cana-3438	64	21	the	the	DET
cana-3438	64	22	institutions	institution	NOUN
cana-3438	64	23	while	while	SCONJ
cana-3438	64	24	the	the	DET
cana-3438	64	25	model	model	NOUN
cana-3438	64	26	leverages	leverage	NOUN
cana-3438	64	27	pooled	pool	VERB
cana-3438	64	28	knowledge	knowledge	NOUN
cana-3438	64	29	across	across	ADP
cana-3438	64	30	sites	site	NOUN
cana-3438	64	31	.	.	PUNCT
cana-3438	65	1	3.3	3.3	NUM
cana-3438	65	2	preprocessing	preprocessing	NOUN
cana-3438	65	3	techniques	technique	NOUN
cana-3438	65	4	specific	specific	ADJ
cana-3438	65	5	to	to	ADP
cana-3438	65	6	medical	medical	ADJ
cana-3438	65	7	imaging	imaging	NOUN
cana-3438	65	8	data	data	PROPN
cana-3438	65	9	medical	medical	ADJ
cana-3438	65	10	imaging	imaging	NOUN
cana-3438	65	11	data	datum	NOUN
cana-3438	65	12	requires	require	VERB
cana-3438	65	13	specialized	specialized	ADJ
cana-3438	65	14	preprocessing	preprocessing	NOUN
cana-3438	65	15	to	to	PART
cana-3438	65	16	handle	handle	VERB
cana-3438	65	17	noise	noise	NOUN
cana-3438	65	18	,	,	PUNCT
cana-3438	65	19	enhance	enhance	VERB
cana-3438	65	20	contrast	contrast	NOUN
cana-3438	65	21	,	,	PUNCT
cana-3438	65	22	and	and	CCONJ
cana-3438	65	23	normalize	normalize	VERB
cana-3438	65	24	pixel	pixel	ADJ
cana-3438	65	25	values	value	NOUN
cana-3438	65	26	.	.	PUNCT
cana-3438	66	1	the	the	DET
cana-3438	66	2	preprocessing	preprocessing	NOUN
cana-3438	66	3	pipeline	pipeline	NOUN
cana-3438	66	4	was	be	AUX
cana-3438	66	5	designed	design	VERB
cana-3438	66	6	to	to	PART
cana-3438	66	7	optimize	optimize	VERB
cana-3438	66	8	model	model	NOUN
cana-3438	66	9	performance	performance	NOUN
cana-3438	66	10	and	and	CCONJ
cana-3438	66	11	includes	include	VERB
cana-3438	66	12	several	several	ADJ
cana-3438	66	13	steps	step	NOUN
cana-3438	66	14	:	:	PUNCT
cana-3438	66	15	●	●	NUM
cana-3438	66	16	noise	noise	NOUN
cana-3438	66	17	reduction	reduction	NOUN
cana-3438	66	18	:	:	PUNCT
cana-3438	66	19	gaussian	gaussian	NOUN
cana-3438	66	20	filtering	filtering	NOUN
cana-3438	66	21	to	to	PART
cana-3438	66	22	reduce	reduce	VERB
cana-3438	66	23	image	image	NOUN
cana-3438	66	24	noise	noise	NOUN
cana-3438	66	25	without	without	ADP
cana-3438	66	26	losing	lose	VERB
cana-3438	66	27	important	important	ADJ
cana-3438	66	28	diagnostic	diagnostic	ADJ
cana-3438	66	29	information	information	NOUN
cana-3438	66	30	.	.	PUNCT
cana-3438	67	1	●	●	PUNCT
cana-3438	67	2	contrast	contrast	NOUN
cana-3438	67	3	enhancement	enhancement	NOUN
cana-3438	67	4	:	:	PUNCT
cana-3438	67	5	histogram	histogram	NOUN
cana-3438	67	6	equalization	equalization	NOUN
cana-3438	67	7	is	be	AUX
cana-3438	67	8	applied	apply	VERB
cana-3438	67	9	to	to	PART
cana-3438	67	10	adjust	adjust	VERB
cana-3438	67	11	image	image	NOUN
cana-3438	67	12	contrast	contrast	NOUN
cana-3438	67	13	for	for	ADP
cana-3438	67	14	better	well	ADJ
cana-3438	67	15	feature	feature	NOUN
cana-3438	67	16	recognition	recognition	NOUN
cana-3438	67	17	.	.	PUNCT
cana-3438	68	1	●	●	PUNCT
cana-3438	68	2	normalization	normalization	NOUN
cana-3438	68	3	:	:	PUNCT
cana-3438	68	4	all	all	DET
cana-3438	68	5	images	image	NOUN
cana-3438	68	6	were	be	AUX
cana-3438	68	7	resized	resize	VERB
cana-3438	68	8	to	to	ADP
cana-3438	68	9	a	a	DET
cana-3438	68	10	standard	standard	ADJ
cana-3438	68	11	input	input	NOUN
cana-3438	68	12	dimension	dimension	NOUN
cana-3438	68	13	and	and	CCONJ
cana-3438	68	14	normalized	normalize	VERB
cana-3438	68	15	to	to	ADP
cana-3438	68	16	the	the	DET
cana-3438	68	17	range	range	NOUN
cana-3438	69	1	[	[	X
cana-3438	69	2	0	0	NUM
cana-3438	69	3	,	,	PUNCT
cana-3438	69	4	1	1	NUM
cana-3438	69	5	]	]	PUNCT
cana-3438	69	6	to	to	PART
cana-3438	69	7	enhance	enhance	VERB
cana-3438	69	8	model	model	NOUN
cana-3438	69	9	compatibility	compatibility	NOUN
cana-3438	69	10	.	.	PUNCT
cana-3438	70	1	communications	communication	NOUN
cana-3438	70	2	on	on	ADP
cana-3438	70	3	applied	apply	VERB
cana-3438	70	4	nonlinear	nonlinear	ADJ
cana-3438	70	5	analysis	analysis	NOUN
cana-3438	70	6	issn	issn	NOUN
cana-3438	70	7	:	:	PUNCT
cana-3438	70	8	1074	1074	NUM
cana-3438	70	9	-	-	PUNCT
cana-3438	70	10	133x	133x	NUM
cana-3438	70	11	vol	vol	NOUN
cana-3438	70	12	32	32	NUM
cana-3438	70	13	no	no	NOUN
cana-3438	70	14	.	.	PUNCT
cana-3438	71	1	7s	7	NOUN
cana-3438	71	2	(	(	PUNCT
cana-3438	71	3	2025	2025	NUM
cana-3438	71	4	)	)	PUNCT
cana-3438	71	5	383	383	NUM
cana-3438	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	71	7	table	table	NOUN
cana-3438	71	8	2	2	NUM
cana-3438	71	9	:	:	PUNCT
cana-3438	71	10	the	the	DET
cana-3438	71	11	preprocessing	preprocessing	NOUN
cana-3438	71	12	steps	step	NOUN
cana-3438	71	13	applied	apply	VERB
cana-3438	71	14	to	to	ADP
cana-3438	71	15	the	the	DET
cana-3438	71	16	dataset	dataset	NOUN
cana-3438	71	17	.	.	PUNCT
cana-3438	72	1	preprocessing	preprocesse	VERB
cana-3438	72	2	step	step	NOUN
cana-3438	72	3	description	description	NOUN
cana-3438	72	4	noise	noise	NOUN
cana-3438	72	5	reduction	reduction	NOUN
cana-3438	72	6	gaussian	gaussian	NOUN
cana-3438	72	7	filtering	filtering	NOUN
cana-3438	72	8	for	for	ADP
cana-3438	72	9	noise	noise	NOUN
cana-3438	72	10	mitigation	mitigation	NOUN
cana-3438	72	11	contrast	contrast	NOUN
cana-3438	72	12	enhancement	enhancement	NOUN
cana-3438	72	13	histogram	histogram	NOUN
cana-3438	72	14	equalization	equalization	NOUN
cana-3438	72	15	for	for	ADP
cana-3438	72	16	improved	improved	ADJ
cana-3438	72	17	image	image	NOUN
cana-3438	72	18	quality	quality	NOUN
cana-3438	72	19	normalization	normalization	NOUN
cana-3438	72	20	scaling	scale	VERB
cana-3438	72	21	pixel	pixel	ADJ
cana-3438	72	22	values	value	NOUN
cana-3438	72	23	to	to	ADP
cana-3438	72	24	[	[	X
cana-3438	72	25	0	0	NUM
cana-3438	72	26	,	,	PUNCT
cana-3438	72	27	1	1	NUM
cana-3438	72	28	]	]	PUNCT
cana-3438	72	29	and	and	CCONJ
cana-3438	72	30	standardizing	standardize	VERB
cana-3438	72	31	input	input	NOUN
cana-3438	72	32	dimensions	dimension	NOUN
cana-3438	72	33	3.4	3.4	NUM
cana-3438	72	34	model	model	NOUN
cana-3438	72	35	selection	selection	NOUN
cana-3438	72	36	:	:	PUNCT
cana-3438	72	37	optimizing	optimize	VERB
cana-3438	72	38	deep	deep	ADJ
cana-3438	72	39	learning	learning	NOUN
cana-3438	72	40	architectures	architecture	NOUN
cana-3438	72	41	for	for	ADP
cana-3438	72	42	radiology	radiology	NOUN
cana-3438	72	43	the	the	DET
cana-3438	72	44	study	study	NOUN
cana-3438	72	45	utilizes	utilize	VERB
cana-3438	72	46	convolutional	convolutional	ADJ
cana-3438	72	47	neural	neural	ADJ
cana-3438	72	48	networks	network	NOUN
cana-3438	72	49	(	(	PUNCT
cana-3438	72	50	cnns	cnns	PROPN
cana-3438	72	51	)	)	PUNCT
cana-3438	72	52	due	due	ADP
cana-3438	72	53	to	to	ADP
cana-3438	72	54	their	their	PRON
cana-3438	72	55	effectiveness	effectiveness	NOUN
cana-3438	72	56	in	in	ADP
cana-3438	72	57	image	image	NOUN
cana-3438	72	58	analysis	analysis	NOUN
cana-3438	72	59	,	,	PUNCT
cana-3438	72	60	specifically	specifically	ADV
cana-3438	72	61	resnet	resnet	NOUN
cana-3438	72	62	and	and	CCONJ
cana-3438	72	63	densenet	densenet	NOUN
cana-3438	72	64	architectures	architecture	NOUN
cana-3438	72	65	for	for	ADP
cana-3438	72	66	their	their	PRON
cana-3438	72	67	superior	superior	ADJ
cana-3438	72	68	feature	feature	NOUN
cana-3438	72	69	extraction	extraction	NOUN
cana-3438	72	70	abilities	ability	NOUN
cana-3438	72	71	in	in	ADP
cana-3438	72	72	medical	medical	ADJ
cana-3438	72	73	imaging	imaging	NOUN
cana-3438	72	74	[	[	X
cana-3438	72	75	12	12	NUM
cana-3438	72	76	,	,	PUNCT
cana-3438	72	77	13	13	NUM
cana-3438	72	78	]	]	PUNCT
cana-3438	72	79	.	.	PUNCT
cana-3438	73	1	these	these	DET
cana-3438	73	2	architectures	architecture	NOUN
cana-3438	73	3	are	be	AUX
cana-3438	73	4	optimized	optimize	VERB
cana-3438	73	5	for	for	ADP
cana-3438	73	6	radiology	radiology	NOUN
cana-3438	73	7	through	through	ADP
cana-3438	73	8	modifications	modification	NOUN
cana-3438	73	9	tailored	tailor	VERB
cana-3438	73	10	to	to	ADP
cana-3438	73	11	medical	medical	ADJ
cana-3438	73	12	image	image	NOUN
cana-3438	73	13	characteristics	characteristic	NOUN
cana-3438	73	14	:	:	PUNCT
cana-3438	73	15	●	●	NUM
cana-3438	73	16	resnet	resnet	NOUN
cana-3438	73	17	:	:	PUNCT
cana-3438	73	18	chosen	choose	VERB
cana-3438	73	19	for	for	ADP
cana-3438	73	20	its	its	PRON
cana-3438	73	21	depth	depth	NOUN
cana-3438	73	22	and	and	CCONJ
cana-3438	73	23	ability	ability	NOUN
cana-3438	73	24	to	to	PART
cana-3438	73	25	overcome	overcome	VERB
cana-3438	73	26	vanishing	vanish	VERB
cana-3438	73	27	gradients	gradient	NOUN
cana-3438	73	28	,	,	PUNCT
cana-3438	73	29	critical	critical	ADJ
cana-3438	73	30	for	for	ADP
cana-3438	73	31	detecting	detect	VERB
cana-3438	73	32	fine	fine	ADJ
cana-3438	73	33	details	detail	NOUN
cana-3438	73	34	in	in	ADP
cana-3438	73	35	radiology	radiology	NOUN
cana-3438	73	36	.	.	PUNCT
cana-3438	74	1	●	●	PUNCT
cana-3438	74	2	densenet	densenet	NOUN
cana-3438	74	3	:	:	PUNCT
cana-3438	74	4	selected	select	VERB
cana-3438	74	5	for	for	ADP
cana-3438	74	6	its	its	PRON
cana-3438	74	7	feature	feature	NOUN
cana-3438	74	8	reuse	reuse	NOUN
cana-3438	74	9	capabilities	capability	NOUN
cana-3438	74	10	,	,	PUNCT
cana-3438	74	11	which	which	PRON
cana-3438	74	12	enhance	enhance	VERB
cana-3438	74	13	gradient	gradient	ADJ
cana-3438	74	14	flow	flow	NOUN
cana-3438	74	15	and	and	CCONJ
cana-3438	74	16	improve	improve	VERB
cana-3438	74	17	model	model	NOUN
cana-3438	74	18	efficiency	efficiency	NOUN
cana-3438	74	19	in	in	ADP
cana-3438	74	20	small	small	ADJ
cana-3438	74	21	datasets	dataset	NOUN
cana-3438	74	22	.	.	PUNCT
cana-3438	75	1	in	in	ADP
cana-3438	75	2	addition	addition	NOUN
cana-3438	75	3	to	to	ADP
cana-3438	75	4	cnns	cnns	PROPN
cana-3438	75	5	,	,	PUNCT
cana-3438	75	6	the	the	DET
cana-3438	75	7	study	study	NOUN
cana-3438	75	8	evaluates	evaluate	VERB
cana-3438	75	9	transformer	transformer	NOUN
cana-3438	75	10	models	model	NOUN
cana-3438	75	11	due	due	ADP
cana-3438	75	12	to	to	ADP
cana-3438	75	13	their	their	PRON
cana-3438	75	14	ability	ability	NOUN
cana-3438	75	15	to	to	PART
cana-3438	75	16	capture	capture	VERB
cana-3438	75	17	global	global	ADJ
cana-3438	75	18	dependencies	dependency	NOUN
cana-3438	75	19	,	,	PUNCT
cana-3438	75	20	potentially	potentially	ADV
cana-3438	75	21	improving	improve	VERB
cana-3438	75	22	diagnostic	diagnostic	ADJ
cana-3438	75	23	accuracy	accuracy	NOUN
cana-3438	75	24	in	in	ADP
cana-3438	75	25	complex	complex	ADJ
cana-3438	75	26	imaging	imaging	NOUN
cana-3438	75	27	tasks	task	NOUN
cana-3438	75	28	.	.	PUNCT
cana-3438	76	1	the	the	DET
cana-3438	76	2	following	follow	VERB
cana-3438	76	3	algorithm	algorithm	NOUN
cana-3438	76	4	demonstrates	demonstrate	VERB
cana-3438	76	5	the	the	DET
cana-3438	76	6	modified	modify	VERB
cana-3438	76	7	resnet	resnet	NOUN
cana-3438	76	8	structure	structure	NOUN
cana-3438	76	9	used	use	VERB
cana-3438	76	10	:	:	PUNCT
cana-3438	76	11	algorithm	algorithm	NOUN
cana-3438	76	12	1	1	NUM
cana-3438	76	13	:	:	PUNCT
cana-3438	76	14	modified	modify	VERB
cana-3438	76	15	resnet	resnet	NOUN
cana-3438	76	16	for	for	ADP
cana-3438	76	17	radiology	radiology	NOUN
cana-3438	76	18	1	1	NUM
cana-3438	77	1	.	.	PUNCT
cana-3438	77	2	input	input	NOUN
cana-3438	77	3	:	:	PUNCT
cana-3438	77	4	preprocessed	preprocesse	VERB
cana-3438	77	5	image	image	NOUN
cana-3438	77	6	data	datum	NOUN
cana-3438	77	7	2	2	NUM
cana-3438	77	8	.	.	PUNCT
cana-3438	77	9	convolutional	convolutional	ADJ
cana-3438	77	10	layer	layer	NOUN
cana-3438	77	11	:	:	PUNCT
cana-3438	77	12	apply	apply	VERB
cana-3438	77	13	initial	initial	ADJ
cana-3438	77	14	convolution	convolution	NOUN
cana-3438	77	15	layer	layer	NOUN
cana-3438	77	16	with	with	ADP
cana-3438	77	17	filter	filter	NOUN
cana-3438	77	18	size	size	NOUN
cana-3438	77	19	7x7	7x7	NUM
cana-3438	77	20	3	3	NUM
cana-3438	77	21	.	.	PUNCT
cana-3438	77	22	residual	residual	ADJ
cana-3438	77	23	blocks	block	NOUN
cana-3438	77	24	:	:	PUNCT
cana-3438	77	25	integrate	integrate	VERB
cana-3438	77	26	multiple	multiple	ADJ
cana-3438	77	27	residual	residual	ADJ
cana-3438	77	28	blocks	block	NOUN
cana-3438	77	29	with	with	ADP
cana-3438	77	30	3x3	3x3	NUM
cana-3438	77	31	convolutions	convolution	NOUN
cana-3438	77	32	4	4	NUM
cana-3438	77	33	.	.	X
cana-3438	77	34	pooling	pool	VERB
cana-3438	77	35	layer	layer	NOUN
cana-3438	77	36	:	:	PUNCT
cana-3438	77	37	apply	apply	VERB
cana-3438	77	38	global	global	ADJ
cana-3438	77	39	average	average	ADJ
cana-3438	77	40	pooling	pooling	NOUN
cana-3438	77	41	to	to	PART
cana-3438	77	42	reduce	reduce	VERB
cana-3438	77	43	dimensions	dimension	NOUN
cana-3438	77	44	5	5	NUM
cana-3438	77	45	.	.	PUNCT
cana-3438	77	46	fully	fully	ADV
cana-3438	77	47	connected	connect	VERB
cana-3438	77	48	layer	layer	NOUN
cana-3438	77	49	:	:	PUNCT
cana-3438	77	50	output	output	NOUN
cana-3438	77	51	layer	layer	NOUN
cana-3438	77	52	with	with	ADP
cana-3438	77	53	softmax	softmax	NOUN
cana-3438	77	54	for	for	ADP
cana-3438	77	55	classification	classification	NOUN
cana-3438	77	56	3.5	3.5	NUM
cana-3438	77	57	implementation	implementation	NOUN
cana-3438	77	58	challenges	challenge	NOUN
cana-3438	77	59	and	and	CCONJ
cana-3438	77	60	it	it	PRON
cana-3438	77	61	solutions	solution	VERB
cana-3438	77	62	for	for	ADP
cana-3438	77	63	scalability	scalability	NOUN
cana-3438	77	64	implementing	implement	VERB
cana-3438	77	65	deep	deep	ADJ
cana-3438	77	66	learning	learning	NOUN
cana-3438	77	67	in	in	ADP
cana-3438	77	68	medical	medical	ADJ
cana-3438	77	69	imaging	imaging	NOUN
cana-3438	77	70	presents	present	NOUN
cana-3438	77	71	challenges	challenge	NOUN
cana-3438	77	72	related	relate	VERB
cana-3438	77	73	to	to	ADP
cana-3438	77	74	scalability	scalability	NOUN
cana-3438	77	75	,	,	PUNCT
cana-3438	77	76	as	as	SCONJ
cana-3438	77	77	largescale	largescale	NOUN
cana-3438	77	78	deployment	deployment	NOUN
cana-3438	77	79	requires	require	VERB
cana-3438	77	80	robust	robust	ADJ
cana-3438	77	81	it	it	PRON
cana-3438	77	82	infrastructure	infrastructure	NOUN
cana-3438	77	83	and	and	CCONJ
cana-3438	77	84	computational	computational	ADJ
cana-3438	77	85	efficiency	efficiency	NOUN
cana-3438	77	86	.	.	PUNCT
cana-3438	78	1	solutions	solution	NOUN
cana-3438	78	2	to	to	ADP
cana-3438	78	3	these	these	DET
cana-3438	78	4	challenges	challenge	NOUN
cana-3438	78	5	include	include	VERB
cana-3438	78	6	:	:	PUNCT
cana-3438	78	7	●	●	NUM
cana-3438	78	8	distributed	distributed	ADJ
cana-3438	78	9	training	training	NOUN
cana-3438	78	10	:	:	PUNCT
cana-3438	78	11	models	model	NOUN
cana-3438	78	12	are	be	AUX
cana-3438	78	13	trained	train	VERB
cana-3438	78	14	across	across	ADP
cana-3438	78	15	multiple	multiple	ADJ
cana-3438	78	16	gpus	gpu	NOUN
cana-3438	78	17	to	to	PART
cana-3438	78	18	handle	handle	VERB
cana-3438	78	19	extensive	extensive	ADJ
cana-3438	78	20	image	image	NOUN
cana-3438	78	21	datasets	dataset	NOUN
cana-3438	78	22	,	,	PUNCT
cana-3438	78	23	enabling	enable	VERB
cana-3438	78	24	faster	fast	ADJ
cana-3438	78	25	processing	processing	NOUN
cana-3438	78	26	.	.	PUNCT
cana-3438	79	1	●	●	PUNCT
cana-3438	79	2	edge	edge	NOUN
cana-3438	79	3	computing	computing	NOUN
cana-3438	79	4	:	:	PUNCT
cana-3438	79	5	certain	certain	ADJ
cana-3438	79	6	diagnostic	diagnostic	ADJ
cana-3438	79	7	algorithms	algorithm	NOUN
cana-3438	79	8	are	be	AUX
cana-3438	79	9	deployed	deploy	VERB
cana-3438	79	10	on	on	ADP
cana-3438	79	11	edge	edge	NOUN
cana-3438	79	12	devices	device	NOUN
cana-3438	79	13	,	,	PUNCT
cana-3438	79	14	allowing	allow	VERB
cana-3438	79	15	realtime	realtime	ADJ
cana-3438	79	16	analysis	analysis	NOUN
cana-3438	79	17	in	in	ADP
cana-3438	79	18	clinical	clinical	ADJ
cana-3438	79	19	settings	setting	NOUN
cana-3438	79	20	without	without	ADP
cana-3438	79	21	relying	rely	VERB
cana-3438	79	22	on	on	ADP
cana-3438	79	23	cloud	cloud	NOUN
cana-3438	79	24	infrastructure	infrastructure	NOUN
cana-3438	79	25	.	.	PUNCT
cana-3438	80	1	●	●	PUNCT
cana-3438	80	2	data	datum	NOUN
cana-3438	80	3	compression	compression	NOUN
cana-3438	80	4	:	:	PUNCT
cana-3438	80	5	efficient	efficient	ADJ
cana-3438	80	6	storage	storage	NOUN
cana-3438	80	7	formats	format	NOUN
cana-3438	80	8	,	,	PUNCT
cana-3438	80	9	such	such	ADJ
cana-3438	80	10	as	as	ADP
cana-3438	80	11	dicom	dicom	NOUN
cana-3438	80	12	and	and	CCONJ
cana-3438	80	13	jpeg2000	jpeg2000	PROPN
cana-3438	80	14	,	,	PUNCT
cana-3438	80	15	are	be	AUX
cana-3438	80	16	used	use	VERB
cana-3438	80	17	to	to	PART
cana-3438	80	18	reduce	reduce	VERB
cana-3438	80	19	data	datum	NOUN
cana-3438	80	20	volume	volume	NOUN
cana-3438	80	21	while	while	SCONJ
cana-3438	80	22	maintaining	maintain	VERB
cana-3438	80	23	image	image	NOUN
cana-3438	80	24	quality	quality	NOUN
cana-3438	80	25	,	,	PUNCT
cana-3438	80	26	optimizing	optimize	VERB
cana-3438	80	27	both	both	CCONJ
cana-3438	80	28	storage	storage	NOUN
cana-3438	80	29	and	and	CCONJ
cana-3438	80	30	retrieval	retrieval	NOUN
cana-3438	80	31	.	.	PUNCT
cana-3438	81	1	table	table	NOUN
cana-3438	81	2	3	3	NUM
cana-3438	81	3	:	:	PUNCT
cana-3438	81	4	the	the	DET
cana-3438	81	5	scalability	scalability	NOUN
cana-3438	81	6	solutions	solution	NOUN
cana-3438	81	7	.	.	PUNCT
cana-3438	82	1	challenge	challenge	NOUN
cana-3438	82	2	solution	solution	NOUN
cana-3438	82	3	high	high	ADJ
cana-3438	82	4	computational	computational	ADJ
cana-3438	82	5	load	load	NOUN
cana-3438	82	6	distributed	distribute	VERB
cana-3438	82	7	gpu	gpu	NOUN
cana-3438	82	8	training	training	NOUN
cana-3438	82	9	real	real	ADJ
cana-3438	82	10	-	-	PUNCT
cana-3438	82	11	time	time	NOUN
cana-3438	82	12	processing	processing	NOUN
cana-3438	82	13	edge	edge	NOUN
cana-3438	82	14	computing	compute	VERB
cana-3438	82	15	data	datum	NOUN
cana-3438	82	16	storage	storage	NOUN
cana-3438	82	17	efficiency	efficiency	NOUN
cana-3438	82	18	compression	compression	NOUN
cana-3438	82	19	with	with	ADP
cana-3438	82	20	dicom	dicom	NOUN
cana-3438	82	21	and	and	CCONJ
cana-3438	82	22	jpeg2000	jpeg2000	PROPN
cana-3438	82	23	formats	format	VERB
cana-3438	82	24	communications	communication	NOUN
cana-3438	82	25	on	on	ADP
cana-3438	82	26	applied	apply	VERB
cana-3438	82	27	nonlinear	nonlinear	ADJ
cana-3438	82	28	analysis	analysis	NOUN
cana-3438	82	29	issn	issn	NOUN
cana-3438	82	30	:	:	PUNCT
cana-3438	82	31	1074	1074	NUM
cana-3438	82	32	-	-	PUNCT
cana-3438	82	33	133x	133x	NUM
cana-3438	82	34	vol	vol	NOUN
cana-3438	82	35	32	32	NUM
cana-3438	82	36	no	no	NOUN
cana-3438	82	37	.	.	PUNCT
cana-3438	83	1	7s	7	NOUN
cana-3438	83	2	(	(	PUNCT
cana-3438	83	3	2025	2025	NUM
cana-3438	83	4	)	)	PUNCT
cana-3438	83	5	384	384	NUM
cana-3438	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	83	7	3.6	3.6	NUM
cana-3438	83	8	evaluation	evaluation	NOUN
cana-3438	83	9	metrics	metric	NOUN
cana-3438	83	10	and	and	CCONJ
cana-3438	83	11	validation	validation	NOUN
cana-3438	83	12	techniques	technique	NOUN
cana-3438	83	13	in	in	ADP
cana-3438	83	14	healthcare	healthcare	NOUN
cana-3438	83	15	it	it	PRON
cana-3438	83	16	to	to	PART
cana-3438	83	17	assess	assess	VERB
cana-3438	83	18	model	model	NOUN
cana-3438	83	19	performance	performance	NOUN
cana-3438	83	20	,	,	PUNCT
cana-3438	83	21	a	a	DET
cana-3438	83	22	comprehensive	comprehensive	ADJ
cana-3438	83	23	evaluation	evaluation	NOUN
cana-3438	83	24	framework	framework	NOUN
cana-3438	83	25	is	be	AUX
cana-3438	83	26	established	establish	VERB
cana-3438	83	27	,	,	PUNCT
cana-3438	83	28	incorporating	incorporate	VERB
cana-3438	83	29	metrics	metric	NOUN
cana-3438	83	30	relevant	relevant	ADJ
cana-3438	83	31	to	to	ADP
cana-3438	83	32	clinical	clinical	ADJ
cana-3438	83	33	diagnostics	diagnostic	NOUN
cana-3438	83	34	:	:	PUNCT
cana-3438	83	35	●	●	PUNCT
cana-3438	83	36	accuracy	accuracy	NOUN
cana-3438	83	37	:	:	PUNCT
cana-3438	83	38	measures	measure	NOUN
cana-3438	83	39	overall	overall	ADJ
cana-3438	83	40	model	model	NOUN
cana-3438	83	41	correctness	correctness	NOUN
cana-3438	83	42	in	in	ADP
cana-3438	83	43	classification	classification	NOUN
cana-3438	83	44	.	.	PUNCT
cana-3438	84	1	●	●	PUNCT
cana-3438	84	2	sensitivity	sensitivity	NOUN
cana-3438	84	3	:	:	PUNCT
cana-3438	84	4	indicates	indicate	VERB
cana-3438	84	5	the	the	DET
cana-3438	84	6	model	model	NOUN
cana-3438	84	7	’s	’s	PART
cana-3438	84	8	ability	ability	NOUN
cana-3438	84	9	to	to	PART
cana-3438	84	10	correctly	correctly	ADV
cana-3438	84	11	identify	identify	VERB
cana-3438	84	12	positive	positive	ADJ
cana-3438	84	13	cases	case	NOUN
cana-3438	84	14	,	,	PUNCT
cana-3438	84	15	crucial	crucial	ADJ
cana-3438	84	16	for	for	ADP
cana-3438	84	17	early	early	ADJ
cana-3438	84	18	disease	disease	NOUN
cana-3438	84	19	detection	detection	NOUN
cana-3438	84	20	.	.	PUNCT
cana-3438	85	1	●	●	PUNCT
cana-3438	85	2	specificity	specificity	NOUN
cana-3438	85	3	:	:	PUNCT
cana-3438	85	4	reflects	reflect	VERB
cana-3438	85	5	the	the	DET
cana-3438	85	6	model	model	NOUN
cana-3438	85	7	’s	’s	PART
cana-3438	85	8	ability	ability	NOUN
cana-3438	85	9	to	to	PART
cana-3438	85	10	correctly	correctly	ADV
cana-3438	85	11	identify	identify	VERB
cana-3438	85	12	negative	negative	ADJ
cana-3438	85	13	cases	case	NOUN
cana-3438	85	14	,	,	PUNCT
cana-3438	85	15	minimizing	minimize	VERB
cana-3438	85	16	false	false	ADJ
cana-3438	85	17	positives	positive	NOUN
cana-3438	85	18	.	.	PUNCT
cana-3438	86	1	●	●	PUNCT
cana-3438	86	2	f1	f1	NOUN
cana-3438	86	3	score	score	NOUN
cana-3438	86	4	:	:	PUNCT
cana-3438	86	5	balances	balance	VERB
cana-3438	86	6	precision	precision	NOUN
cana-3438	86	7	and	and	CCONJ
cana-3438	86	8	recall	recall	NOUN
cana-3438	86	9	,	,	PUNCT
cana-3438	86	10	providing	provide	VERB
cana-3438	86	11	a	a	DET
cana-3438	86	12	single	single	ADJ
cana-3438	86	13	metric	metric	NOUN
cana-3438	86	14	that	that	PRON
cana-3438	86	15	captures	capture	VERB
cana-3438	86	16	diagnostic	diagnostic	ADJ
cana-3438	86	17	reliability	reliability	NOUN
cana-3438	86	18	.	.	PUNCT
cana-3438	87	1	to	to	PART
cana-3438	87	2	validate	validate	VERB
cana-3438	87	3	the	the	DET
cana-3438	87	4	model	model	NOUN
cana-3438	87	5	,	,	PUNCT
cana-3438	87	6	cross	cross	NOUN
cana-3438	87	7	-	-	ADJ
cana-3438	87	8	validation	validation	ADJ
cana-3438	87	9	and	and	CCONJ
cana-3438	87	10	hold	hold	VERB
cana-3438	87	11	-	-	PUNCT
cana-3438	87	12	out	out	ADP
cana-3438	87	13	testing	testing	NOUN
cana-3438	87	14	were	be	AUX
cana-3438	87	15	employed	employ	VERB
cana-3438	87	16	on	on	ADP
cana-3438	87	17	separate	separate	ADJ
cana-3438	87	18	training	training	NOUN
cana-3438	87	19	and	and	CCONJ
cana-3438	87	20	validation	validation	NOUN
cana-3438	87	21	datasets	dataset	NOUN
cana-3438	87	22	.	.	PUNCT
cana-3438	88	1	additionally	additionally	ADV
cana-3438	88	2	,	,	PUNCT
cana-3438	88	3	k	k	ADJ
cana-3438	88	4	-	-	ADJ
cana-3438	88	5	fold	fold	ADJ
cana-3438	88	6	cross	cross	NOUN
cana-3438	88	7	-	-	ADJ
cana-3438	88	8	validation	validation	NOUN
cana-3438	88	9	was	be	AUX
cana-3438	88	10	implemented	implement	VERB
cana-3438	88	11	to	to	PART
cana-3438	88	12	improve	improve	VERB
cana-3438	88	13	generalizability	generalizability	NOUN
cana-3438	88	14	and	and	CCONJ
cana-3438	88	15	reduce	reduce	VERB
cana-3438	88	16	model	model	NOUN
cana-3438	88	17	bias	bias	NOUN
cana-3438	88	18	.	.	PUNCT
cana-3438	89	1	table	table	NOUN
cana-3438	89	2	4	4	NUM
cana-3438	89	3	:	:	PUNCT
cana-3438	89	4	the	the	DET
cana-3438	89	5	evaluation	evaluation	NOUN
cana-3438	89	6	metrics	metric	NOUN
cana-3438	89	7	applied	apply	VERB
cana-3438	89	8	.	.	PUNCT
cana-3438	90	1	metric	metric	ADJ
cana-3438	90	2	description	description	NOUN
cana-3438	90	3	accuracy	accuracy	NOUN
cana-3438	90	4	percentage	percentage	NOUN
cana-3438	90	5	of	of	ADP
cana-3438	90	6	correct	correct	ADJ
cana-3438	90	7	classifications	classification	NOUN
cana-3438	90	8	sensitivity	sensitivity	NOUN
cana-3438	90	9	ability	ability	NOUN
cana-3438	90	10	to	to	PART
cana-3438	90	11	identify	identify	VERB
cana-3438	90	12	true	true	ADJ
cana-3438	90	13	positives	positive	NOUN
cana-3438	90	14	specificity	specificity	NOUN
cana-3438	90	15	ability	ability	NOUN
cana-3438	90	16	to	to	PART
cana-3438	90	17	identify	identify	VERB
cana-3438	90	18	true	true	ADJ
cana-3438	90	19	negatives	negative	NOUN
cana-3438	90	20	f1	f1	NOUN
cana-3438	90	21	score	score	NOUN
cana-3438	90	22	the	the	DET
cana-3438	90	23	harmonic	harmonic	ADJ
cana-3438	90	24	means	mean	NOUN
cana-3438	90	25	of	of	ADP
cana-3438	90	26	precision	precision	NOUN
cana-3438	90	27	and	and	CCONJ
cana-3438	90	28	recall	recall	NOUN
cana-3438	90	29	validation	validation	NOUN
cana-3438	90	30	techniques	technique	NOUN
cana-3438	90	31	were	be	AUX
cana-3438	90	32	conducted	conduct	VERB
cana-3438	90	33	in	in	ADP
cana-3438	90	34	compliance	compliance	NOUN
cana-3438	90	35	with	with	ADP
cana-3438	90	36	healthcare	healthcare	NOUN
cana-3438	90	37	it	it	PRON
cana-3438	90	38	standards	standard	NOUN
cana-3438	90	39	,	,	PUNCT
cana-3438	90	40	ensuring	ensure	VERB
cana-3438	90	41	that	that	SCONJ
cana-3438	90	42	the	the	DET
cana-3438	90	43	models	model	NOUN
cana-3438	90	44	deliver	deliver	VERB
cana-3438	90	45	consistent	consistent	ADJ
cana-3438	90	46	performance	performance	NOUN
cana-3438	90	47	across	across	ADP
cana-3438	90	48	diverse	diverse	ADJ
cana-3438	90	49	patient	patient	ADJ
cana-3438	90	50	demographics	demographic	NOUN
cana-3438	90	51	and	and	CCONJ
cana-3438	90	52	imaging	imaging	NOUN
cana-3438	90	53	conditions	condition	NOUN
cana-3438	90	54	4	4	NUM
cana-3438	90	55	.	.	NOUN
cana-3438	90	56	results	result	NOUN
cana-3438	90	57	and	and	CCONJ
cana-3438	90	58	analysis	analysis	NOUN
cana-3438	90	59	4.1	4.1	NUM
cana-3438	90	60	performance	performance	NOUN
cana-3438	90	61	metrics	metric	NOUN
cana-3438	90	62	(	(	PUNCT
cana-3438	90	63	accuracy	accuracy	NOUN
cana-3438	90	64	,	,	PUNCT
cana-3438	90	65	sensitivity	sensitivity	NOUN
cana-3438	90	66	,	,	PUNCT
cana-3438	90	67	specificity	specificity	NOUN
cana-3438	90	68	)	)	PUNCT
cana-3438	90	69	in	in	ADP
cana-3438	90	70	medical	medical	ADJ
cana-3438	90	71	imaging	imaging	NOUN
cana-3438	90	72	the	the	DET
cana-3438	90	73	present	present	ADJ
cana-3438	90	74	study	study	NOUN
cana-3438	90	75	evaluated	evaluate	VERB
cana-3438	90	76	the	the	DET
cana-3438	90	77	diagnostic	diagnostic	ADJ
cana-3438	90	78	performance	performance	NOUN
cana-3438	90	79	of	of	ADP
cana-3438	90	80	deep	deep	ADJ
cana-3438	90	81	learning	learning	NOUN
cana-3438	90	82	models	model	NOUN
cana-3438	90	83	based	base	VERB
cana-3438	90	84	on	on	ADP
cana-3438	90	85	some	some	DET
cana-3438	90	86	relevant	relevant	ADJ
cana-3438	90	87	performance	performance	NOUN
cana-3438	90	88	metrics	metric	NOUN
cana-3438	90	89	in	in	ADP
cana-3438	90	90	medical	medical	ADJ
cana-3438	90	91	imaging	imaging	NOUN
cana-3438	90	92	.	.	PUNCT
cana-3438	91	1	we	we	PRON
cana-3438	91	2	've	have	AUX
cana-3438	91	3	computed	compute	VERB
cana-3438	91	4	accuracy	accuracy	NOUN
cana-3438	91	5	,	,	PUNCT
cana-3438	91	6	sensitivity	sensitivity	NOUN
cana-3438	91	7	and	and	CCONJ
cana-3438	91	8	specificity	specificity	NOUN
cana-3438	91	9	across	across	ADP
cana-3438	91	10	multiple	multiple	ADJ
cana-3438	91	11	medical	medical	ADJ
cana-3438	91	12	imaging	imaging	NOUN
cana-3438	91	13	datasets	dataset	NOUN
cana-3438	91	14	whilst	whilst	SCONJ
cana-3438	91	15	reporting	report	VERB
cana-3438	91	16	our	our	PRON
cana-3438	91	17	findings	finding	NOUN
cana-3438	91	18	with	with	ADP
cana-3438	91	19	metrics	metric	NOUN
cana-3438	91	20	that	that	PRON
cana-3438	91	21	maximize	maximize	VERB
cana-3438	91	22	clinical	clinical	ADJ
cana-3438	91	23	utility	utility	NOUN
cana-3438	91	24	.	.	PUNCT
cana-3438	92	1	table	table	NOUN
cana-3438	92	2	5	5	NUM
cana-3438	92	3	summarizes	summarize	NOUN
cana-3438	92	4	the	the	DET
cana-3438	92	5	summary	summary	NOUN
cana-3438	92	6	results	result	NOUN
cana-3438	92	7	of	of	ADP
cana-3438	92	8	cnn	cnn	PROPN
cana-3438	92	9	-	-	PUNCT
cana-3438	92	10	based	base	VERB
cana-3438	92	11	and	and	CCONJ
cana-3438	92	12	transformerbased	transformerbase	VERB
cana-3438	92	13	architecture	architecture	NOUN
cana-3438	92	14	on	on	ADP
cana-3438	92	15	ct	ct	PROPN
cana-3438	92	16	,	,	PUNCT
cana-3438	92	17	mri	mri	NOUN
cana-3438	92	18	,	,	PUNCT
cana-3438	92	19	and	and	CCONJ
cana-3438	92	20	x	x	X
cana-3438	92	21	-	-	NOUN
cana-3438	92	22	ray	ray	NOUN
cana-3438	92	23	data	datum	NOUN
cana-3438	92	24	.	.	PUNCT
cana-3438	93	1	table	table	NOUN
cana-3438	93	2	5	5	NUM
cana-3438	93	3	:	:	PUNCT
cana-3438	93	4	model	model	NOUN
cana-3438	93	5	performance	performance	NOUN
cana-3438	93	6	metrics	metric	NOUN
cana-3438	93	7	across	across	ADP
cana-3438	93	8	imaging	imaging	NOUN
cana-3438	93	9	modalities	modality	NOUN
cana-3438	93	10	model	model	NOUN
cana-3438	93	11	type	type	NOUN
cana-3438	93	12	imaging	imaging	NOUN
cana-3438	93	13	modality	modality	NOUN
cana-3438	93	14	accuracy	accuracy	NOUN
cana-3438	93	15	(	(	PUNCT
cana-3438	93	16	%	%	INTJ
cana-3438	93	17	)	)	PUNCT
cana-3438	93	18	sensitivity	sensitivity	NOUN
cana-3438	93	19	(	(	PUNCT
cana-3438	93	20	%	%	INTJ
cana-3438	93	21	)	)	PUNCT
cana-3438	93	22	specificity	specificity	NOUN
cana-3438	93	23	(	(	PUNCT
cana-3438	93	24	%	%	INTJ
cana-3438	93	25	)	)	PUNCT
cana-3438	93	26	cnn	cnn	PROPN
cana-3438	93	27	x	x	PROPN
cana-3438	93	28	-	-	NOUN
cana-3438	93	29	ray	ray	NOUN
cana-3438	93	30	94.3	94.3	NUM
cana-3438	93	31	92.5	92.5	NUM
cana-3438	93	32	95.1	95.1	NUM
cana-3438	93	33	cnn	cnn	NOUN
cana-3438	93	34	ct	ct	NOUN
cana-3438	93	35	92.8	92.8	NUM
cana-3438	93	36	91.2	91.2	NUM
cana-3438	93	37	93.5	93.5	NUM
cana-3438	93	38	cnn	cnn	NOUN
cana-3438	93	39	mri	mri	NOUN
cana-3438	93	40	90.7	90.7	NUM
cana-3438	93	41	89.0	89.0	NUM
cana-3438	93	42	91.4	91.4	NUM
cana-3438	93	43	transformer	transformer	NOUN
cana-3438	93	44	x	x	NOUN
cana-3438	93	45	-	-	NOUN
cana-3438	93	46	ray	ray	NOUN
cana-3438	93	47	96.1	96.1	NUM
cana-3438	93	48	94.3	94.3	NUM
cana-3438	93	49	96.7	96.7	NUM
cana-3438	93	50	transformer	transformer	NOUN
cana-3438	93	51	ct	ct	NUM
cana-3438	93	52	95.2	95.2	NUM
cana-3438	93	53	93.9	93.9	NUM
cana-3438	93	54	96.0	96.0	NUM
cana-3438	93	55	transformer	transformer	NOUN
cana-3438	93	56	mri	mri	NOUN
cana-3438	93	57	93.4	93.4	NUM
cana-3438	93	58	91.7	91.7	NUM
cana-3438	93	59	94.5	94.5	NUM
cana-3438	93	60	as	as	SCONJ
cana-3438	93	61	shown	show	VERB
cana-3438	93	62	in	in	ADP
cana-3438	93	63	table	table	NOUN
cana-3438	93	64	1	1	NUM
cana-3438	93	65	,	,	PUNCT
cana-3438	93	66	transformer	transformer	NOUN
cana-3438	93	67	-	-	PUNCT
cana-3438	93	68	based	base	VERB
cana-3438	93	69	models	model	NOUN
cana-3438	93	70	generally	generally	ADV
cana-3438	93	71	achieved	achieve	VERB
cana-3438	93	72	higher	high	ADJ
cana-3438	93	73	accuracy	accuracy	NOUN
cana-3438	93	74	,	,	PUNCT
cana-3438	93	75	sensitivity	sensitivity	NOUN
cana-3438	93	76	,	,	PUNCT
cana-3438	93	77	and	and	CCONJ
cana-3438	93	78	specificity	specificity	NOUN
cana-3438	93	79	compared	compare	VERB
cana-3438	93	80	to	to	ADP
cana-3438	93	81	cnns	cnns	PROPN
cana-3438	93	82	,	,	PUNCT
cana-3438	93	83	particularly	particularly	ADV
cana-3438	93	84	in	in	ADP
cana-3438	93	85	x	x	NOUN
cana-3438	93	86	-	-	NOUN
cana-3438	93	87	ray	ray	NOUN
cana-3438	93	88	and	and	CCONJ
cana-3438	93	89	ct	ct	NUM
cana-3438	93	90	imaging	imaging	NOUN
cana-3438	93	91	.	.	PUNCT
cana-3438	94	1	this	this	PRON
cana-3438	94	2	demonstrates	demonstrate	VERB
cana-3438	94	3	the	the	DET
cana-3438	94	4	potential	potential	NOUN
cana-3438	94	5	of	of	ADP
cana-3438	94	6	transformers	transformer	NOUN
cana-3438	94	7	in	in	ADP
cana-3438	94	8	medical	medical	ADJ
cana-3438	94	9	imaging	imaging	NOUN
cana-3438	94	10	due	due	ADP
cana-3438	94	11	to	to	ADP
cana-3438	94	12	their	their	PRON
cana-3438	94	13	ability	ability	NOUN
cana-3438	94	14	to	to	PART
cana-3438	94	15	capture	capture	VERB
cana-3438	94	16	complex	complex	ADJ
cana-3438	94	17	dependencies	dependency	NOUN
cana-3438	94	18	across	across	ADP
cana-3438	94	19	spatial	spatial	ADJ
cana-3438	94	20	features	feature	NOUN
cana-3438	94	21	,	,	PUNCT
cana-3438	94	22	enhancing	enhance	VERB
cana-3438	94	23	diagnostic	diagnostic	ADJ
cana-3438	94	24	accuracy	accuracy	NOUN
cana-3438	94	25	[	[	X
cana-3438	94	26	3	3	NUM
cana-3438	94	27	,	,	PUNCT
cana-3438	94	28	5	5	NUM
cana-3438	94	29	]	]	PUNCT
cana-3438	94	30	.	.	PUNCT
cana-3438	95	1	communications	communication	NOUN
cana-3438	95	2	on	on	ADP
cana-3438	95	3	applied	apply	VERB
cana-3438	95	4	nonlinear	nonlinear	ADJ
cana-3438	95	5	analysis	analysis	NOUN
cana-3438	95	6	issn	issn	NOUN
cana-3438	95	7	:	:	PUNCT
cana-3438	95	8	1074	1074	NUM
cana-3438	95	9	-	-	PUNCT
cana-3438	95	10	133x	133x	NUM
cana-3438	95	11	vol	vol	NOUN
cana-3438	95	12	32	32	NUM
cana-3438	95	13	no	no	NOUN
cana-3438	95	14	.	.	PUNCT
cana-3438	96	1	7s	7	NOUN
cana-3438	96	2	(	(	PUNCT
cana-3438	96	3	2025	2025	NUM
cana-3438	96	4	)	)	PUNCT
cana-3438	96	5	385	385	NUM
cana-3438	96	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3438	96	7	4.2	4.2	NUM
cana-3438	96	8	comparative	comparative	ADJ
cana-3438	96	9	results	result	NOUN
cana-3438	96	10	with	with	ADP
cana-3438	96	11	state	state	NOUN
cana-3438	96	12	-	-	PUNCT
cana-3438	96	13	of	of	ADP
cana-3438	96	14	-	-	PUNCT
cana-3438	96	15	the	the	DET
cana-3438	96	16	-	-	PUNCT
cana-3438	96	17	art	art	NOUN
cana-3438	96	18	it	it	PRON
cana-3438	96	19	solutions	solution	VERB
cana-3438	96	20	the	the	DET
cana-3438	96	21	proposed	propose	VERB
cana-3438	96	22	models	model	NOUN
cana-3438	96	23	were	be	AUX
cana-3438	96	24	compared	compare	VERB
cana-3438	96	25	to	to	ADP
cana-3438	96	26	several	several	ADJ
cana-3438	96	27	state	state	NOUN
cana-3438	96	28	-	-	PUNCT
cana-3438	96	29	of	of	ADP
cana-3438	96	30	-	-	PUNCT
cana-3438	96	31	the	the	DET
cana-3438	96	32	-	-	PUNCT
cana-3438	96	33	art	art	NOUN
cana-3438	96	34	deep	deep	ADJ
cana-3438	96	35	learning	learning	NOUN
cana-3438	96	36	solutions	solution	NOUN
cana-3438	96	37	in	in	ADP
cana-3438	96	38	medical	medical	ADJ
cana-3438	96	39	imaging	imaging	NOUN
cana-3438	96	40	.	.	PUNCT
cana-3438	97	1	this	this	DET
cana-3438	97	2	comparison	comparison	NOUN
cana-3438	97	3	provided	provide	VERB
cana-3438	97	4	insights	insight	NOUN
cana-3438	97	5	into	into	ADP
cana-3438	97	6	the	the	DET
cana-3438	97	7	relative	relative	ADJ
cana-3438	97	8	strengths	strength	NOUN
cana-3438	97	9	and	and	CCONJ
cana-3438	97	10	weaknesses	weakness	NOUN
cana-3438	97	11	of	of	ADP
cana-3438	97	12	the	the	DET
cana-3438	97	13	current	current	ADJ
cana-3438	97	14	models	model	NOUN
cana-3438	97	15	,	,	PUNCT
cana-3438	97	16	as	as	SCONJ
cana-3438	97	17	shown	show	VERB
cana-3438	97	18	in	in	ADP
cana-3438	97	19	table	table	NOUN
cana-3438	97	20	6	6	NUM
cana-3438	97	21	.	.	PUNCT
cana-3438	97	22	table	table	NOUN
cana-3438	97	23	6	6	NUM
cana-3438	97	24	:	:	PUNCT
cana-3438	97	25	comparison	comparison	NOUN
cana-3438	97	26	with	with	ADP
cana-3438	97	27	state	state	NOUN
cana-3438	97	28	-	-	PUNCT
cana-3438	97	29	of	of	ADP
cana-3438	97	30	-	-	PUNCT
cana-3438	97	31	the	the	DET
cana-3438	97	32	-	-	PUNCT
cana-3438	97	33	art	art	NOUN
cana-3438	97	34	models	model	NOUN
cana-3438	97	35	model	model	NOUN
cana-3438	97	36	imaging	imaging	NOUN
cana-3438	97	37	modality	modality	NOUN
cana-3438	97	38	accuracy	accuracy	NOUN
cana-3438	97	39	(	(	PUNCT
cana-3438	97	40	%	%	INTJ
cana-3438	97	41	)	)	PUNCT
cana-3438	97	42	sensitivity	sensitivity	NOUN
cana-3438	97	43	(	(	PUNCT
cana-3438	97	44	%	%	INTJ
cana-3438	97	45	)	)	PUNCT
cana-3438	97	46	specificity	specificity	NOUN
cana-3438	97	47	(	(	PUNCT
cana-3438	97	48	%	%	INTJ
cana-3438	97	49	)	)	PUNCT
cana-3438	97	50	latency	latency	NOUN
cana-3438	97	51	(	(	PUNCT
cana-3438	97	52	ms	ms	PROPN
cana-3438	97	53	)	)	PUNCT
cana-3438	97	54	proposed	propose	VERB
cana-3438	97	55	transformer	transformer	NOUN
cana-3438	97	56	x	x	NOUN
cana-3438	97	57	-	-	NOUN
cana-3438	97	58	ray	ray	NOUN
cana-3438	97	59	96.1	96.1	NUM
cana-3438	97	60	94.3	94.3	NUM
cana-3438	97	61	96.7	96.7	NUM
cana-3438	97	62	45	45	NUM
cana-3438	97	63	state	state	NOUN
cana-3438	97	64	-	-	PUNCT
cana-3438	97	65	of	of	ADP
cana-3438	97	66	-	-	PUNCT
cana-3438	97	67	the	the	DET
cana-3438	97	68	-	-	PUNCT
cana-3438	97	69	art	art	NOUN
cana-3438	97	70	a	a	DET
cana-3438	97	71	x	x	NOUN
cana-3438	97	72	-	-	NOUN
cana-3438	97	73	ray	ray	NOUN
cana-3438	97	74	94.5	94.5	NUM
cana-3438	97	75	93.2	93.2	NUM
cana-3438	97	76	95.4	95.4	NUM
cana-3438	97	77	60	60	NUM
cana-3438	97	78	proposed	propose	VERB
cana-3438	97	79	cnn	cnn	PROPN
cana-3438	97	80	ct	ct	PROPN
cana-3438	97	81	92.8	92.8	NUM
cana-3438	97	82	91.2	91.2	NUM
cana-3438	97	83	93.5	93.5	NUM
cana-3438	97	84	50	50	NUM
cana-3438	97	85	state	state	NOUN
cana-3438	97	86	-	-	PUNCT
cana-3438	97	87	of	of	ADP
cana-3438	97	88	-	-	PUNCT
cana-3438	97	89	the	the	DET
cana-3438	97	90	-	-	PUNCT
cana-3438	97	91	art	art	NOUN
cana-3438	97	92	b	b	NOUN
cana-3438	97	93	ct	ct	NOUN
cana-3438	97	94	91.5	91.5	NUM
cana-3438	97	95	90.7	90.7	NUM
cana-3438	97	96	92.3	92.3	NUM
cana-3438	97	97	65	65	NUM
cana-3438	97	98	proposed	propose	VERB
cana-3438	97	99	transformer	transformer	NOUN
cana-3438	97	100	mri	mri	NOUN
cana-3438	97	101	93.4	93.4	NUM
cana-3438	97	102	91.7	91.7	NUM
cana-3438	97	103	94.5	94.5	NUM
cana-3438	97	104	55	55	NUM
cana-3438	97	105	state	state	NOUN
cana-3438	97	106	-	-	PUNCT
cana-3438	97	107	of	of	ADP
cana-3438	97	108	-	-	PUNCT
cana-3438	97	109	the	the	DET
cana-3438	97	110	-	-	PUNCT
cana-3438	97	111	art	art	NOUN
cana-3438	97	112	c	c	NOUN
cana-3438	97	113	mri	mri	NOUN
cana-3438	97	114	92.0	92.0	NUM
cana-3438	97	115	90.8	90.8	NUM
cana-3438	97	116	92.6	92.6	NUM
cana-3438	97	117	70	70	NUM
cana-3438	97	118	in	in	ADP
cana-3438	97	119	terms	term	NOUN
cana-3438	97	120	of	of	ADP
cana-3438	97	121	latency	latency	NOUN
cana-3438	97	122	,	,	PUNCT
cana-3438	97	123	the	the	DET
cana-3438	97	124	proposed	propose	VERB
cana-3438	97	125	transformer	transformer	NOUN
cana-3438	97	126	and	and	CCONJ
cana-3438	97	127	cnn	cnn	NOUN
cana-3438	97	128	models	model	NOUN
cana-3438	97	129	demonstrated	demonstrate	VERB
cana-3438	97	130	lower	low	ADJ
cana-3438	97	131	processing	processing	NOUN
cana-3438	97	132	times	time	NOUN
cana-3438	97	133	compared	compare	VERB
cana-3438	97	134	to	to	ADP
cana-3438	97	135	other	other	ADJ
cana-3438	97	136	models	model	NOUN
cana-3438	97	137	,	,	PUNCT
cana-3438	97	138	suggesting	suggest	VERB
cana-3438	97	139	that	that	SCONJ
cana-3438	97	140	these	these	DET
cana-3438	97	141	models	model	NOUN
cana-3438	97	142	can	can	AUX
cana-3438	97	143	meet	meet	VERB
cana-3438	97	144	real	real	ADJ
cana-3438	97	145	-	-	PUNCT
cana-3438	97	146	time	time	NOUN
cana-3438	97	147	diagnostic	diagnostic	ADJ
cana-3438	97	148	requirements	requirement	NOUN
cana-3438	97	149	in	in	ADP
cana-3438	97	150	clinical	clinical	ADJ
cana-3438	97	151	settings	setting	NOUN
cana-3438	97	152	.	.	PUNCT
cana-3438	98	1	figure	figure	NOUN
cana-3438	98	2	1	1	NUM
cana-3438	98	3	visually	visually	ADV
cana-3438	98	4	represents	represent	VERB
cana-3438	98	5	this	this	DET
cana-3438	98	6	performance	performance	NOUN
cana-3438	98	7	comparison	comparison	NOUN
cana-3438	98	8	,	,	PUNCT
cana-3438	98	9	showing	show	VERB
cana-3438	98	10	the	the	DET
cana-3438	98	11	proposed	propose	VERB
cana-3438	98	12	models	model	NOUN
cana-3438	98	13	’	’	PART
cana-3438	98	14	efficiency	efficiency	NOUN
cana-3438	98	15	and	and	CCONJ
cana-3438	98	16	accuracy	accuracy	NOUN
cana-3438	98	17	.	.	PUNCT
cana-3438	99	1	figure	figure	NOUN
cana-3438	99	2	1	1	NUM
cana-3438	99	3	:	:	PUNCT
cana-3438	99	4	comparative	comparative	ADJ
cana-3438	99	5	performance	performance	NOUN
cana-3438	99	6	metrics	metric	NOUN
cana-3438	99	7	of	of	ADP
cana-3438	99	8	proposed	propose	VERB
cana-3438	99	9	and	and	CCONJ
cana-3438	99	10	state	state	NOUN
cana-3438	99	11	-	-	PUNCT
cana-3438	99	12	of	of	ADP
cana-3438	99	13	-	-	PUNCT
cana-3438	99	14	the	the	DET
cana-3438	99	15	-	-	PUNCT
cana-3438	99	16	art	art	NOUN
cana-3438	99	17	models	model	NOUN
cana-3438	99	18	4.3	4.3	NUM
cana-3438	99	19	case	case	NOUN
cana-3438	99	20	studies	study	NOUN
cana-3438	99	21	:	:	PUNCT
cana-3438	99	22	deep	deep	ADJ
cana-3438	99	23	learning	learning	NOUN
cana-3438	99	24	in	in	ADP
cana-3438	99	25	diagnostic	diagnostic	ADJ
cana-3438	99	26	accuracy	accuracy	NOUN
cana-3438	99	27	and	and	CCONJ
cana-3438	99	28	it	it	PRON
cana-3438	99	29	outcomes	outcome	VERB
cana-3438	99	30	to	to	PART
cana-3438	99	31	better	well	ADV
cana-3438	99	32	understand	understand	VERB
cana-3438	99	33	the	the	DET
cana-3438	99	34	potential	potential	ADJ
cana-3438	99	35	use	use	NOUN
cana-3438	99	36	cases	case	NOUN
cana-3438	99	37	for	for	ADP
cana-3438	99	38	these	these	DET
cana-3438	99	39	models	model	NOUN
cana-3438	99	40	,	,	PUNCT
cana-3438	99	41	case	case	NOUN
cana-3438	99	42	studies	study	NOUN
cana-3438	99	43	were	be	AUX
cana-3438	99	44	performed	perform	VERB
cana-3438	99	45	on	on	ADP
cana-3438	99	46	datasets	dataset	NOUN
cana-3438	99	47	for	for	ADP
cana-3438	99	48	common	common	ADJ
cana-3438	99	49	diagnostic	diagnostic	ADJ
cana-3438	99	50	tasks	task	NOUN
cana-3438	99	51	including	include	VERB
cana-3438	99	52	pneumonia	pneumonia	NOUN
cana-3438	99	53	detection	detection	NOUN
cana-3438	99	54	in	in	ADP
cana-3438	99	55	x	x	NOUN
cana-3438	99	56	-	-	NOUN
cana-3438	99	57	rays	ray	NOUN
cana-3438	99	58	and	and	CCONJ
cana-3438	99	59	brain	brain	VERB
cana-3438	99	60	tumour	tumour	NOUN
cana-3438	99	61	classification	classification	NOUN
cana-3438	99	62	in	in	ADP
cana-3438	99	63	mri	mri	NOUN
cana-3438	99	64	scans	scan	NOUN
cana-3438	99	65	.	.	PUNCT
cana-3438	100	1	of	of	ADP
cana-3438	100	2	the	the	DET
cana-3438	100	3	deep	deep	ADJ
cana-3438	100	4	learning	learning	NOUN
cana-3438	100	5	model	model	NOUN
cana-3438	100	6	tested	test	VERB
cana-3438	100	7	for	for	ADP
cana-3438	100	8	pneumonia	pneumonia	NOUN
cana-3438	100	9	identification	identification	NOUN
cana-3438	100	10	,	,	PUNCT
cana-3438	100	11	the	the	DET
cana-3438	100	12	cnn	cnn	PROPN
cana-3438	100	13	achieved	achieve	VERB
cana-3438	100	14	a	a	DET
cana-3438	100	15	diagnostic	diagnostic	ADJ
cana-3438	100	16	accuracy	accuracy	NOUN
cana-3438	100	17	of	of	ADP
cana-3438	100	18	92	92	NUM
cana-3438	100	19	%	%	NOUN
cana-3438	100	20	and	and	CCONJ
cana-3438	100	21	provided	provide	VERB
cana-3438	100	22	interpreted	interpret	VERB
cana-3438	100	23	output	output	NOUN
cana-3438	100	24	displaying	display	VERB
cana-3438	100	25	points	point	NOUN
cana-3438	100	26	of	of	ADP
cana-3438	100	27	interest	interest	NOUN
cana-3438	100	28	highlighted	highlight	VERB
cana-3438	100	29	by	by	ADP
cana-3438	100	30	the	the	DET
cana-3438	100	31	model	model	NOUN
cana-3438	100	32	communications	communication	NOUN
cana-3438	100	33	on	on	ADP
cana-3438	100	34	applied	apply	VERB
cana-3438	100	35	nonlinear	nonlinear	ADJ
cana-3438	100	36	analysis	analysis	NOUN
cana-3438	100	37	issn	issn	NOUN
cana-3438	100	38	:	:	PUNCT
cana-3438	100	39	1074	1074	NUM
cana-3438	100	40	-	-	PUNCT
cana-3438	100	41	133x	133x	NUM
cana-3438	100	42	vol	vol	NOUN
cana-3438	100	43	32	32	NUM
cana-3438	100	44	no	no	NOUN
cana-3438	100	45	.	.	PUNCT
cana-3438	101	1	7s	7	NOUN
cana-3438	101	2	(	(	PUNCT
cana-3438	101	3	2025	2025	NUM
cana-3438	101	4	)	)	PUNCT
cana-3438	101	5	386	386	NUM
cana-3438	101	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	101	7	figure	figure	NOUN
cana-3438	101	8	2	2	NUM
cana-3438	101	9	:	:	PUNCT
cana-3438	101	10	model	model	NOUN
cana-3438	101	11	output	output	NOUN
cana-3438	101	12	for	for	ADP
cana-3438	101	13	pneumonia	pneumonia	NOUN
cana-3438	101	14	detection	detection	NOUN
cana-3438	101	15	in	in	ADP
cana-3438	101	16	x	x	ADJ
cana-3438	101	17	-	-	NOUN
cana-3438	101	18	ray	ray	NOUN
cana-3438	101	19	figure	figure	NOUN
cana-3438	101	20	3	3	NUM
cana-3438	101	21	:	:	PUNCT
cana-3438	101	22	model	model	NOUN
cana-3438	101	23	output	output	NOUN
cana-3438	101	24	for	for	ADP
cana-3438	101	25	brain	brain	NOUN
cana-3438	101	26	tumor	tumor	NOUN
cana-3438	101	27	classification	classification	NOUN
cana-3438	101	28	in	in	ADP
cana-3438	101	29	mri	mri	NOUN
cana-3438	101	30	these	these	DET
cana-3438	101	31	case	case	NOUN
cana-3438	101	32	studies	study	NOUN
cana-3438	101	33	underscore	underscore	VERB
cana-3438	101	34	the	the	DET
cana-3438	101	35	practical	practical	ADJ
cana-3438	101	36	utility	utility	NOUN
cana-3438	101	37	of	of	ADP
cana-3438	101	38	deep	deep	ADJ
cana-3438	101	39	learning	learning	NOUN
cana-3438	101	40	models	model	NOUN
cana-3438	101	41	in	in	ADP
cana-3438	101	42	enhancing	enhance	VERB
cana-3438	101	43	radiologists	radiologist	NOUN
cana-3438	101	44	’	'	PUNCT
cana-3438	101	45	diagnostic	diagnostic	ADJ
cana-3438	101	46	capabilities	capability	NOUN
cana-3438	101	47	,	,	PUNCT
cana-3438	101	48	offering	offer	VERB
cana-3438	101	49	reliable	reliable	ADJ
cana-3438	101	50	predictions	prediction	NOUN
cana-3438	101	51	and	and	CCONJ
cana-3438	101	52	interpretable	interpretable	ADJ
cana-3438	101	53	results	result	NOUN
cana-3438	101	54	that	that	PRON
cana-3438	101	55	align	align	VERB
cana-3438	101	56	with	with	ADP
cana-3438	101	57	clinical	clinical	ADJ
cana-3438	101	58	expectations	expectation	NOUN
cana-3438	101	59	.	.	PUNCT
cana-3438	102	1	4.4	4.4	NUM
cana-3438	102	2	visualization	visualization	NOUN
cana-3438	102	3	of	of	ADP
cana-3438	102	4	model	model	NOUN
cana-3438	102	5	outputs	output	NOUN
cana-3438	102	6	for	for	ADP
cana-3438	102	7	enhanced	enhanced	ADJ
cana-3438	102	8	clinical	clinical	ADJ
cana-3438	102	9	interpretability	interpretability	NOUN
cana-3438	102	10	an	an	DET
cana-3438	102	11	important	important	ADJ
cana-3438	102	12	aspect	aspect	NOUN
cana-3438	102	13	of	of	ADP
cana-3438	102	14	the	the	DET
cana-3438	102	15	models	model	NOUN
cana-3438	102	16	developed	develop	VERB
cana-3438	102	17	is	be	AUX
cana-3438	102	18	the	the	DET
cana-3438	102	19	interpretability	interpretability	NOUN
cana-3438	102	20	of	of	ADP
cana-3438	102	21	their	their	PRON
cana-3438	102	22	outputs	output	NOUN
cana-3438	102	23	,	,	PUNCT
cana-3438	102	24	which	which	PRON
cana-3438	102	25	is	be	AUX
cana-3438	102	26	essential	essential	ADJ
cana-3438	102	27	to	to	PART
cana-3438	102	28	gain	gain	VERB
cana-3438	102	29	clinical	clinical	ADJ
cana-3438	102	30	acceptance	acceptance	NOUN
cana-3438	102	31	.	.	PUNCT
cana-3438	103	1	they	they	PRON
cana-3438	103	2	visualized	visualize	VERB
cana-3438	103	3	these	these	DET
cana-3438	103	4	data	datum	NOUN
cana-3438	103	5	,	,	PUNCT
cana-3438	103	6	for	for	ADP
cana-3438	103	7	example	example	NOUN
cana-3438	103	8	by	by	ADP
cana-3438	103	9	heat	heat	NOUN
cana-3438	103	10	maps	map	NOUN
cana-3438	103	11	,	,	PUNCT
cana-3438	103	12	to	to	PART
cana-3438	103	13	emphasize	emphasize	VERB
cana-3438	103	14	the	the	DET
cana-3438	103	15	regions	region	NOUN
cana-3438	103	16	they	they	PRON
cana-3438	103	17	are	be	AUX
cana-3438	103	18	important	important	ADJ
cana-3438	103	19	to	to	PART
cana-3438	103	20	make	make	VERB
cana-3438	103	21	decisions	decision	NOUN
cana-3438	103	22	.	.	PUNCT
cana-3438	104	1	figure	figure	VERB
cana-3438	104	2	4	4	NUM
cana-3438	104	3	shows	show	VERB
cana-3438	104	4	examples	example	NOUN
cana-3438	104	5	of	of	ADP
cana-3438	104	6	these	these	DET
cana-3438	104	7	visualizations	visualization	NOUN
cana-3438	104	8	that	that	PRON
cana-3438	104	9	show	show	VERB
cana-3438	104	10	radiologists	radiologist	NOUN
cana-3438	104	11	clearly	clearly	ADV
cana-3438	104	12	what	what	PRON
cana-3438	104	13	the	the	DET
cana-3438	104	14	model	model	NOUN
cana-3438	104	15	is	be	AUX
cana-3438	104	16	looking	look	VERB
cana-3438	104	17	at	at	ADP
cana-3438	104	18	so	so	SCONJ
cana-3438	104	19	they	they	PRON
cana-3438	104	20	can	can	AUX
cana-3438	104	21	trust	trust	VERB
cana-3438	104	22	its	its	PRON
cana-3438	104	23	diagnosis	diagnosis	NOUN
cana-3438	104	24	recommendations	recommendation	NOUN
cana-3438	104	25	.	.	PUNCT
cana-3438	105	1	figure	figure	VERB
cana-3438	105	2	4	4	NUM
cana-3438	105	3	:	:	PUNCT
cana-3438	105	4	heatmap	heatmap	NOUN
cana-3438	105	5	of	of	ADP
cana-3438	105	6	transformer	transformer	NOUN
cana-3438	105	7	model	model	NOUN
cana-3438	105	8	for	for	ADP
cana-3438	105	9	brain	brain	NOUN
cana-3438	105	10	tumor	tumor	NOUN
cana-3438	105	11	segmentation	segmentation	NOUN
cana-3438	105	12	in	in	ADP
cana-3438	105	13	mri	mri	NOUN
cana-3438	105	14	communications	communication	NOUN
cana-3438	105	15	on	on	ADP
cana-3438	105	16	applied	apply	VERB
cana-3438	105	17	nonlinear	nonlinear	ADJ
cana-3438	105	18	analysis	analysis	NOUN
cana-3438	105	19	issn	issn	NOUN
cana-3438	105	20	:	:	PUNCT
cana-3438	105	21	1074	1074	NUM
cana-3438	105	22	-	-	PUNCT
cana-3438	105	23	133x	133x	NUM
cana-3438	105	24	vol	vol	NOUN
cana-3438	105	25	32	32	NUM
cana-3438	105	26	no	no	NOUN
cana-3438	105	27	.	.	PUNCT
cana-3438	106	1	7s	7	NOUN
cana-3438	106	2	(	(	PUNCT
cana-3438	106	3	2025	2025	NUM
cana-3438	106	4	)	)	PUNCT
cana-3438	106	5	387	387	NUM
cana-3438	106	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	106	7	such	such	ADJ
cana-3438	106	8	visualization	visualization	NOUN
cana-3438	106	9	tools	tool	NOUN
cana-3438	106	10	bridge	bridge	VERB
cana-3438	106	11	the	the	DET
cana-3438	106	12	gap	gap	NOUN
cana-3438	106	13	between	between	ADP
cana-3438	106	14	automated	automate	VERB
cana-3438	106	15	diagnostics	diagnostic	NOUN
cana-3438	106	16	and	and	CCONJ
cana-3438	106	17	clinician	clinician	NOUN
cana-3438	106	18	interpretability	interpretability	NOUN
cana-3438	106	19	,	,	PUNCT
cana-3438	106	20	enhancing	enhance	VERB
cana-3438	106	21	the	the	DET
cana-3438	106	22	adoption	adoption	NOUN
cana-3438	106	23	of	of	ADP
cana-3438	106	24	ai	ai	ADJ
cana-3438	106	25	tools	tool	NOUN
cana-3438	106	26	in	in	ADP
cana-3438	106	27	radiology	radiology	NOUN
cana-3438	106	28	[	[	X
cana-3438	106	29	7	7	NUM
cana-3438	106	30	,	,	PUNCT
cana-3438	106	31	8	8	NUM
cana-3438	106	32	]	]	PUNCT
cana-3438	106	33	.	.	PUNCT
cana-3438	107	1	4.5	4.5	NUM
cana-3438	107	2	identification	identification	NOUN
cana-3438	107	3	of	of	ADP
cana-3438	107	4	key	key	ADJ
cana-3438	107	5	technology	technology	NOUN
cana-3438	107	6	-	-	PUNCT
cana-3438	107	7	related	relate	VERB
cana-3438	107	8	challenges	challenge	NOUN
cana-3438	107	9	(	(	PUNCT
cana-3438	107	10	latency	latency	NOUN
cana-3438	107	11	,	,	PUNCT
cana-3438	107	12	data	datum	NOUN
cana-3438	107	13	integration	integration	NOUN
cana-3438	107	14	,	,	PUNCT
cana-3438	107	15	real	real	ADJ
cana-3438	107	16	-	-	PUNCT
cana-3438	107	17	time	time	NOUN
cana-3438	107	18	processing	processing	NOUN
cana-3438	107	19	)	)	PUNCT
cana-3438	107	20	the	the	DET
cana-3438	107	21	results	result	NOUN
cana-3438	107	22	have	have	AUX
cana-3438	107	23	been	be	AUX
cana-3438	107	24	promising	promise	VERB
cana-3438	107	25	,	,	PUNCT
cana-3438	107	26	but	but	CCONJ
cana-3438	107	27	many	many	ADJ
cana-3438	107	28	technology	technology	NOUN
cana-3438	107	29	-	-	PUNCT
cana-3438	107	30	related	relate	VERB
cana-3438	107	31	challenges	challenge	NOUN
cana-3438	107	32	continue	continue	VERB
cana-3438	107	33	to	to	PART
cana-3438	107	34	linger	linger	VERB
cana-3438	107	35	.	.	PUNCT
cana-3438	108	1	for	for	ADP
cana-3438	108	2	realtime	realtime	NOUN
cana-3438	108	3	diagnostics	diagnostic	NOUN
cana-3438	108	4	,	,	PUNCT
cana-3438	108	5	one	one	NUM
cana-3438	108	6	of	of	ADP
cana-3438	108	7	the	the	DET
cana-3438	108	8	most	most	ADV
cana-3438	108	9	common	common	ADJ
cana-3438	108	10	metrics	metric	NOUN
cana-3438	108	11	is	be	AUX
cana-3438	108	12	latency	latency	NOUN
cana-3438	108	13	and	and	CCONJ
cana-3438	108	14	it	it	PRON
cana-3438	108	15	was	be	AUX
cana-3438	108	16	also	also	ADV
cana-3438	108	17	affected	affect	VERB
cana-3438	108	18	by	by	ADP
cana-3438	108	19	data	datum	NOUN
cana-3438	108	20	size	size	NOUN
cana-3438	108	21	and	and	CCONJ
cana-3438	108	22	network	network	NOUN
cana-3438	108	23	bandwidth	bandwidth	NOUN
cana-3438	108	24	.	.	PUNCT
cana-3438	109	1	additionally	additionally	ADV
cana-3438	109	2	,	,	PUNCT
cana-3438	109	3	diverse	diverse	ADJ
cana-3438	109	4	sources	source	NOUN
cana-3438	109	5	of	of	ADP
cana-3438	109	6	medical	medical	ADJ
cana-3438	109	7	imaging	imaging	NOUN
cana-3438	109	8	data	datum	NOUN
cana-3438	109	9	integration	integration	NOUN
cana-3438	109	10	face	face	VERB
cana-3438	109	11	compatibility	compatibility	NOUN
cana-3438	109	12	issues	issue	NOUN
cana-3438	109	13	,	,	PUNCT
cana-3438	109	14	which	which	PRON
cana-3438	109	15	cause	cause	VERB
cana-3438	109	16	model	model	NOUN
cana-3438	109	17	performance	performance	NOUN
cana-3438	109	18	impact	impact	NOUN
cana-3438	109	19	.	.	PUNCT
cana-3438	110	1	we	we	PRON
cana-3438	110	2	summarize	summarize	VERB
cana-3438	110	3	the	the	DET
cana-3438	110	4	challenges	challenge	NOUN
cana-3438	110	5	and	and	CCONJ
cana-3438	110	6	their	their	PRON
cana-3438	110	7	implications	implication	NOUN
cana-3438	110	8	in	in	ADP
cana-3438	110	9	table	table	NOUN
cana-3438	110	10	3	3	NUM
cana-3438	110	11	.	.	PUNCT
cana-3438	110	12	table	table	NOUN
cana-3438	110	13	7	7	NUM
cana-3438	110	14	:	:	PUNCT
cana-3438	110	15	technology	technology	NOUN
cana-3438	110	16	-	-	PUNCT
cana-3438	110	17	related	relate	VERB
cana-3438	110	18	challenges	challenge	NOUN
cana-3438	110	19	and	and	CCONJ
cana-3438	110	20	implications	implication	NOUN
cana-3438	110	21	challenge	challenge	NOUN
cana-3438	110	22	description	description	NOUN
cana-3438	110	23	implications	implication	NOUN
cana-3438	110	24	latency	latency	NOUN
cana-3438	110	25	time	time	NOUN
cana-3438	110	26	delay	delay	NOUN
cana-3438	110	27	in	in	ADP
cana-3438	110	28	real	real	ADJ
cana-3438	110	29	-	-	PUNCT
cana-3438	110	30	time	time	NOUN
cana-3438	110	31	image	image	NOUN
cana-3438	110	32	processing	processing	NOUN
cana-3438	110	33	impacts	impact	NOUN
cana-3438	110	34	diagnostic	diagnostic	ADJ
cana-3438	110	35	response	response	NOUN
cana-3438	110	36	time	time	NOUN
cana-3438	110	37	data	datum	NOUN
cana-3438	110	38	integration	integration	NOUN
cana-3438	110	39	compatibility	compatibility	NOUN
cana-3438	110	40	across	across	ADP
cana-3438	110	41	diverse	diverse	ADJ
cana-3438	110	42	imaging	imaging	NOUN
cana-3438	110	43	sources	source	NOUN
cana-3438	110	44	may	may	AUX
cana-3438	110	45	reduce	reduce	VERB
cana-3438	110	46	model	model	NOUN
cana-3438	110	47	accuracy	accuracy	NOUN
cana-3438	110	48	real	real	ADJ
cana-3438	110	49	-	-	PUNCT
cana-3438	110	50	time	time	NOUN
cana-3438	110	51	processing	processing	NOUN
cana-3438	110	52	processing	processing	NOUN
cana-3438	110	53	speed	speed	NOUN
cana-3438	110	54	requirements	requirement	NOUN
cana-3438	110	55	for	for	ADP
cana-3438	110	56	large	large	ADJ
cana-3438	110	57	datasets	dataset	NOUN
cana-3438	110	58	limits	limit	VERB
cana-3438	110	59	model	model	NOUN
cana-3438	110	60	scalability	scalability	NOUN
cana-3438	110	61	these	these	DET
cana-3438	110	62	challenges	challenge	NOUN
cana-3438	110	63	suggest	suggest	VERB
cana-3438	110	64	the	the	DET
cana-3438	110	65	need	need	NOUN
cana-3438	110	66	for	for	ADP
cana-3438	110	67	optimized	optimize	VERB
cana-3438	110	68	data	datum	NOUN
cana-3438	110	69	handling	handling	NOUN
cana-3438	110	70	and	and	CCONJ
cana-3438	110	71	streamlined	streamlined	ADJ
cana-3438	110	72	workflows	workflow	NOUN
cana-3438	110	73	to	to	PART
cana-3438	110	74	facilitate	facilitate	VERB
cana-3438	110	75	effective	effective	ADJ
cana-3438	110	76	implementation	implementation	NOUN
cana-3438	110	77	in	in	ADP
cana-3438	110	78	clinical	clinical	ADJ
cana-3438	110	79	environments	environment	NOUN
cana-3438	110	80	.	.	PUNCT
cana-3438	111	1	4.6	4.6	NUM
cana-3438	111	2	error	error	NOUN
cana-3438	111	3	analysis	analysis	NOUN
cana-3438	111	4	and	and	CCONJ
cana-3438	111	5	technological	technological	ADJ
cana-3438	111	6	limitations	limitation	NOUN
cana-3438	111	7	in	in	ADP
cana-3438	111	8	current	current	ADJ
cana-3438	111	9	solutions	solution	NOUN
cana-3438	111	10	models	model	NOUN
cana-3438	111	11	made	make	VERB
cana-3438	111	12	the	the	DET
cana-3438	111	13	worst	bad	ADJ
cana-3438	111	14	errors	error	NOUN
cana-3438	111	15	that	that	PRON
cana-3438	111	16	we	we	PRON
cana-3438	111	17	expected	expect	VERB
cana-3438	111	18	them	they	PRON
cana-3438	111	19	to	to	PART
cana-3438	111	20	get	get	VERB
cana-3438	111	21	right	right	ADJ
cana-3438	111	22	.	.	PUNCT
cana-3438	112	1	production	production	NOUN
cana-3438	112	2	of	of	ADP
cana-3438	112	3	overlapped	overlapped	ADJ
cana-3438	112	4	features	feature	NOUN
cana-3438	112	5	or	or	CCONJ
cana-3438	112	6	bad	bad	ADJ
cana-3438	112	7	-	-	PUNCT
cana-3438	112	8	quality	quality	NOUN
cana-3438	112	9	images	image	NOUN
cana-3438	112	10	was	be	AUX
cana-3438	112	11	the	the	DET
cana-3438	112	12	cause	cause	NOUN
cana-3438	112	13	for	for	ADP
cana-3438	112	14	misclassifications	misclassification	NOUN
cana-3438	112	15	,	,	PUNCT
cana-3438	112	16	and	and	CCONJ
cana-3438	112	17	it	it	PRON
cana-3438	112	18	reflected	reflect	VERB
cana-3438	112	19	the	the	DET
cana-3438	112	20	need	need	NOUN
cana-3438	112	21	for	for	ADP
cana-3438	112	22	better	well	ADJ
cana-3438	112	23	data	datum	NOUN
cana-3438	112	24	preprocessing	preprocesse	VERB
cana-3438	112	25	techniques	technique	NOUN
cana-3438	112	26	and	and	CCONJ
cana-3438	112	27	robust	robust	ADJ
cana-3438	112	28	algorithms	algorithm	NOUN
cana-3438	112	29	.	.	PUNCT
cana-3438	113	1	furthermore	furthermore	ADV
cana-3438	113	2	,	,	PUNCT
cana-3438	113	3	the	the	DET
cana-3438	113	4	reliance	reliance	NOUN
cana-3438	113	5	of	of	ADP
cana-3438	113	6	the	the	DET
cana-3438	113	7	model	model	NOUN
cana-3438	113	8	on	on	ADP
cana-3438	113	9	online	online	ADJ
cana-3438	113	10	highend	highend	ADJ
cana-3438	113	11	computational	computational	ADJ
cana-3438	113	12	resources	resource	NOUN
cana-3438	113	13	makes	make	VERB
cana-3438	113	14	it	it	PRON
cana-3438	113	15	least	least	ADV
cana-3438	113	16	applicable	applicable	ADJ
cana-3438	113	17	in	in	ADP
cana-3438	113	18	resource	resource	NOUN
cana-3438	113	19	-	-	PUNCT
cana-3438	113	20	limited	limit	VERB
cana-3438	113	21	settings	setting	NOUN
cana-3438	113	22	due	due	ADP
cana-3438	113	23	to	to	ADP
cana-3438	113	24	the	the	DET
cana-3438	113	25	restrictions	restriction	NOUN
cana-3438	113	26	defined	define	VERB
cana-3438	113	27	by	by	ADP
cana-3438	113	28	technological	technological	ADJ
cana-3438	113	29	limitations	limitation	NOUN
cana-3438	113	30	.	.	PUNCT
cana-3438	114	1	error	error	NOUN
cana-3438	114	2	types	type	NOUN
cana-3438	114	3	across	across	ADP
cana-3438	114	4	modalities	modality	NOUN
cana-3438	114	5	are	be	AUX
cana-3438	114	6	summarized	summarize	VERB
cana-3438	114	7	in	in	ADP
cana-3438	114	8	figure	figure	NOUN
cana-3438	114	9	5	5	NUM
cana-3438	114	10	which	which	PRON
cana-3438	114	11	highlights	highlight	VERB
cana-3438	114	12	model	model	NOUN
cana-3438	114	13	performance	performance	NOUN
cana-3438	114	14	differences	difference	NOUN
cana-3438	114	15	based	base	VERB
cana-3438	114	16	on	on	ADP
cana-3438	114	17	image	image	NOUN
cana-3438	114	18	quality	quality	NOUN
cana-3438	114	19	and	and	CCONJ
cana-3438	114	20	diagnostic	diagnostic	ADJ
cana-3438	114	21	complexity	complexity	NOUN
cana-3438	114	22	.	.	PUNCT
cana-3438	115	1	table	table	NOUN
cana-3438	115	2	8	8	NUM
cana-3438	115	3	:	:	PUNCT
cana-3438	115	4	error	error	NOUN
cana-3438	115	5	types	type	NOUN
cana-3438	115	6	and	and	CCONJ
cana-3438	115	7	frequency	frequency	NOUN
cana-3438	115	8	across	across	ADP
cana-3438	115	9	imaging	imaging	NOUN
cana-3438	115	10	modalities	modality	NOUN
cana-3438	115	11	error	error	NOUN
cana-3438	115	12	type	type	NOUN
cana-3438	115	13	x	x	NOUN
cana-3438	115	14	-	-	NOUN
cana-3438	115	15	ray	ray	NOUN
cana-3438	115	16	ct	ct	PROPN
cana-3438	115	17	mri	mri	NOUN
cana-3438	115	18	frequency	frequency	NOUN
cana-3438	115	19	(	(	PUNCT
cana-3438	115	20	%	%	INTJ
cana-3438	115	21	)	)	PUNCT
cana-3438	115	22	false	false	ADJ
cana-3438	115	23	positives	positive	NOUN
cana-3438	115	24	8	8	NUM
cana-3438	115	25	6	6	NUM
cana-3438	115	26	5	5	NUM
cana-3438	115	27	6.3	6.3	NUM
cana-3438	115	28	false	false	ADJ
cana-3438	115	29	negatives	negative	NOUN
cana-3438	115	30	10	10	NUM
cana-3438	115	31	7	7	NUM
cana-3438	115	32	9	9	NUM
cana-3438	115	33	8.7	8.7	NUM
cana-3438	115	34	misclassification	misclassification	NOUN
cana-3438	115	35	7	7	NUM
cana-3438	115	36	8	8	NUM
cana-3438	115	37	6	6	NUM
cana-3438	115	38	7.0	7.0	NUM
cana-3438	115	39	overlapping	overlap	VERB
cana-3438	115	40	structures	structure	NOUN
cana-3438	115	41	5	5	NUM
cana-3438	115	42	6	6	NUM
cana-3438	115	43	7	7	NUM
cana-3438	115	44	6.0	6.0	NUM
cana-3438	115	45	figure	figure	NOUN
cana-3438	115	46	5	5	NUM
cana-3438	115	47	:	:	PUNCT
cana-3438	115	48	error	error	NOUN
cana-3438	115	49	type	type	NOUN
cana-3438	115	50	distribution	distribution	NOUN
cana-3438	115	51	across	across	ADP
cana-3438	115	52	imaging	imaging	NOUN
cana-3438	115	53	modalities	modality	NOUN
cana-3438	115	54	communications	communication	NOUN
cana-3438	115	55	on	on	ADP
cana-3438	115	56	applied	apply	VERB
cana-3438	115	57	nonlinear	nonlinear	ADJ
cana-3438	115	58	analysis	analysis	NOUN
cana-3438	115	59	issn	issn	NOUN
cana-3438	115	60	:	:	PUNCT
cana-3438	115	61	1074	1074	NUM
cana-3438	115	62	-	-	PUNCT
cana-3438	115	63	133x	133x	NUM
cana-3438	115	64	vol	vol	NOUN
cana-3438	115	65	32	32	NUM
cana-3438	115	66	no	no	NOUN
cana-3438	115	67	.	.	PUNCT
cana-3438	116	1	7s	7	NOUN
cana-3438	116	2	(	(	PUNCT
cana-3438	116	3	2025	2025	NUM
cana-3438	116	4	)	)	PUNCT
cana-3438	116	5	388	388	NUM
cana-3438	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	116	7	5	5	NUM
cana-3438	116	8	.	.	PUNCT
cana-3438	116	9	discussion	discussion	NOUN
cana-3438	116	10	and	and	CCONJ
cana-3438	116	11	recommendations	recommendation	NOUN
cana-3438	116	12	for	for	ADP
cana-3438	116	13	future	future	ADJ
cana-3438	116	14	research	research	NOUN
cana-3438	116	15	5.1	5.1	NUM
cana-3438	116	16	technological	technological	ADJ
cana-3438	116	17	implications	implication	NOUN
cana-3438	116	18	for	for	ADP
cana-3438	116	19	clinical	clinical	ADJ
cana-3438	116	20	practice	practice	NOUN
cana-3438	116	21	and	and	CCONJ
cana-3438	116	22	radiology	radiology	NOUN
cana-3438	116	23	deep	deep	ADJ
cana-3438	116	24	learning	learning	NOUN
cana-3438	116	25	applications	application	NOUN
cana-3438	116	26	have	have	VERB
cana-3438	116	27	the	the	DET
cana-3438	116	28	potential	potential	NOUN
cana-3438	116	29	to	to	PART
cana-3438	116	30	transform	transform	VERB
cana-3438	116	31	clinical	clinical	ADJ
cana-3438	116	32	practice	practice	NOUN
cana-3438	116	33	in	in	ADP
cana-3438	116	34	radiology	radiology	NOUN
cana-3438	116	35	.	.	PUNCT
cana-3438	117	1	abstracted	abstract	VERB
cana-3438	117	2	automated	automate	VERB
cana-3438	117	3	diagnostic	diagnostic	ADJ
cana-3438	117	4	tools	tool	NOUN
cana-3438	117	5	have	have	VERB
cana-3438	117	6	significant	significant	ADJ
cana-3438	117	7	advantages	advantage	NOUN
cana-3438	117	8	in	in	ADP
cana-3438	117	9	speed	speed	NOUN
cana-3438	117	10	,	,	PUNCT
cana-3438	117	11	across	across	ADP
cana-3438	117	12	a	a	DET
cana-3438	117	13	multitude	multitude	NOUN
cana-3438	117	14	of	of	ADP
cana-3438	117	15	test	test	NOUN
cana-3438	117	16	systems	system	NOUN
cana-3438	117	17	and	and	CCONJ
cana-3438	117	18	offer	offer	VERB
cana-3438	117	19	an	an	DET
cana-3438	117	20	improvement	improvement	NOUN
cana-3438	117	21	in	in	ADP
cana-3438	117	22	workflow	workflow	NOUN
cana-3438	117	23	.	.	PUNCT
cana-3438	118	1	for	for	ADP
cana-3438	118	2	instance	instance	NOUN
cana-3438	118	3	,	,	PUNCT
cana-3438	118	4	deep	deep	ADJ
cana-3438	118	5	learning	learning	NOUN
cana-3438	118	6	algorithms	algorithm	NOUN
cana-3438	118	7	can	can	AUX
cana-3438	118	8	quickly	quickly	ADV
cana-3438	118	9	analyze	analyze	VERB
cana-3438	118	10	thousands	thousand	NOUN
cana-3438	118	11	of	of	ADP
cana-3438	118	12	images	image	NOUN
cana-3438	118	13	,	,	PUNCT
cana-3438	118	14	minimizing	minimize	VERB
cana-3438	118	15	the	the	DET
cana-3438	118	16	time	time	NOUN
cana-3438	118	17	spent	spend	VERB
cana-3438	118	18	by	by	ADP
cana-3438	118	19	radiologists	radiologist	NOUN
cana-3438	118	20	in	in	ADP
cana-3438	118	21	standardized	standardized	ADJ
cana-3438	118	22	evaluations	evaluation	NOUN
cana-3438	118	23	,	,	PUNCT
cana-3438	118	24	which	which	PRON
cana-3438	118	25	is	be	AUX
cana-3438	118	26	extremely	extremely	ADV
cana-3438	118	27	beneficial	beneficial	ADJ
cana-3438	118	28	in	in	ADP
cana-3438	118	29	time	time	NOUN
cana-3438	118	30	-	-	PUNCT
cana-3438	118	31	sensitive	sensitive	ADJ
cana-3438	118	32	settings	setting	NOUN
cana-3438	118	33	such	such	ADJ
cana-3438	118	34	as	as	ADP
cana-3438	118	35	emergency	emergency	NOUN
cana-3438	118	36	rooms	room	NOUN
cana-3438	118	37	[	[	X
cana-3438	118	38	10	10	NUM
cana-3438	118	39	,	,	PUNCT
cana-3438	118	40	12	12	NUM
cana-3438	118	41	]	]	PUNCT
cana-3438	118	42	.	.	PUNCT
cana-3438	119	1	finally	finally	ADV
cana-3438	119	2	,	,	PUNCT
cana-3438	119	3	these	these	DET
cana-3438	119	4	models	model	NOUN
cana-3438	119	5	will	will	AUX
cana-3438	119	6	further	far	ADV
cana-3438	119	7	evolve	evolve	VERB
cana-3438	119	8	as	as	ADP
cana-3438	119	9	an	an	DET
cana-3438	119	10	integral	integral	ADJ
cana-3438	119	11	part	part	NOUN
cana-3438	119	12	of	of	ADP
cana-3438	119	13	precision	precision	NOUN
cana-3438	119	14	medicine	medicine	NOUN
cana-3438	119	15	delivering	deliver	VERB
cana-3438	119	16	image	image	NOUN
cana-3438	119	17	-	-	PUNCT
cana-3438	119	18	based	base	VERB
cana-3438	119	19	biomarkers	biomarker	NOUN
cana-3438	119	20	to	to	PART
cana-3438	119	21	deliver	deliver	VERB
cana-3438	119	22	precision	precision	NOUN
cana-3438	119	23	treatment	treatment	NOUN
cana-3438	119	24	.	.	PUNCT
cana-3438	120	1	yet	yet	ADV
cana-3438	120	2	,	,	PUNCT
cana-3438	120	3	the	the	DET
cana-3438	120	4	need	need	NOUN
cana-3438	120	5	for	for	ADP
cana-3438	120	6	it	it	PRON
cana-3438	120	7	-	-	PUNCT
cana-3438	120	8	centric	centric	ADJ
cana-3438	120	9	diagnostics	diagnostic	NOUN
cana-3438	120	10	elicits	elicit	VERB
cana-3438	120	11	concerns	concern	NOUN
cana-3438	120	12	about	about	ADP
cana-3438	120	13	training	training	NOUN
cana-3438	120	14	and	and	CCONJ
cana-3438	120	15	acceptance	acceptance	NOUN
cana-3438	120	16	among	among	ADP
cana-3438	120	17	radiologists	radiologist	NOUN
cana-3438	120	18	who	who	PRON
cana-3438	120	19	may	may	AUX
cana-3438	120	20	require	require	VERB
cana-3438	120	21	extensive	extensive	ADJ
cana-3438	120	22	acclimatization	acclimatization	NOUN
cana-3438	120	23	to	to	PART
cana-3438	120	24	exploit	exploit	VERB
cana-3438	120	25	these	these	DET
cana-3438	120	26	different	different	ADJ
cana-3438	120	27	tools	tool	NOUN
cana-3438	120	28	[	[	X
cana-3438	120	29	15	15	NUM
cana-3438	120	30	]	]	PUNCT
cana-3438	120	31	.	.	PUNCT
cana-3438	121	1	5.2	5.2	NUM
cana-3438	121	2	addressing	address	VERB
cana-3438	121	3	it	it	PRON
cana-3438	121	4	challenges	challenge	VERB
cana-3438	121	5	:	:	PUNCT
cana-3438	121	6	privacy	privacy	NOUN
cana-3438	121	7	,	,	PUNCT
cana-3438	121	8	security	security	NOUN
cana-3438	121	9	,	,	PUNCT
cana-3438	121	10	and	and	CCONJ
cana-3438	121	11	interoperability	interoperability	NOUN
cana-3438	121	12	in	in	ADP
cana-3438	121	13	medical	medical	ADJ
cana-3438	121	14	imaging	imaging	NOUN
cana-3438	121	15	given	give	VERB
cana-3438	121	16	that	that	PRON
cana-3438	121	17	medical	medical	ADJ
cana-3438	121	18	imaging	imaging	NOUN
cana-3438	121	19	data	datum	NOUN
cana-3438	121	20	is	be	AUX
cana-3438	121	21	one	one	NUM
cana-3438	121	22	of	of	ADP
cana-3438	121	23	the	the	DET
cana-3438	121	24	most	most	ADV
cana-3438	121	25	sensitive	sensitive	ADJ
cana-3438	121	26	types	type	NOUN
cana-3438	121	27	of	of	ADP
cana-3438	121	28	information	information	NOUN
cana-3438	121	29	,	,	PUNCT
cana-3438	121	30	ensuring	ensure	VERB
cana-3438	121	31	privacy	privacy	NOUN
cana-3438	121	32	and	and	CCONJ
cana-3438	121	33	security	security	NOUN
cana-3438	121	34	are	be	AUX
cana-3438	121	35	crucial	crucial	ADJ
cana-3438	121	36	when	when	SCONJ
cana-3438	121	37	using	use	VERB
cana-3438	121	38	deep	deep	ADJ
cana-3438	121	39	learning	learning	NOUN
cana-3438	121	40	models	model	NOUN
cana-3438	121	41	.	.	PUNCT
cana-3438	122	1	as	as	ADP
cana-3438	122	2	examples	example	NOUN
cana-3438	122	3	,	,	PUNCT
cana-3438	122	4	hipaa	hipaa	NOUN
cana-3438	122	5	and	and	CCONJ
cana-3438	122	6	gdpr	gdpr	PROPN
cana-3438	122	7	impose	impose	VERB
cana-3438	122	8	strict	strict	ADJ
cana-3438	122	9	rules	rule	NOUN
cana-3438	122	10	in	in	ADP
cana-3438	122	11	handling	handle	VERB
cana-3438	122	12	data	datum	NOUN
cana-3438	122	13	that	that	SCONJ
cana-3438	122	14	,	,	PUNCT
cana-3438	122	15	within	within	ADP
cana-3438	122	16	the	the	DET
cana-3438	122	17	deployment	deployment	NOUN
cana-3438	122	18	of	of	ADP
cana-3438	122	19	models	model	NOUN
cana-3438	122	20	,	,	PUNCT
cana-3438	122	21	result	result	VERB
cana-3438	122	22	in	in	ADP
cana-3438	122	23	the	the	DET
cana-3438	122	24	required	require	VERB
cana-3438	122	25	safe	safe	ADJ
cana-3438	122	26	storage	storage	NOUN
cana-3438	122	27	and	and	CCONJ
cana-3438	122	28	transmission	transmission	NOUN
cana-3438	122	29	methods	method	NOUN
cana-3438	122	30	.	.	PUNCT
cana-3438	123	1	an	an	DET
cana-3438	123	2	emerging	emerge	VERB
cana-3438	123	3	paradigm	paradigm	NOUN
cana-3438	123	4	,	,	PUNCT
cana-3438	123	5	federated	federated	ADJ
cana-3438	123	6	learning	learning	NOUN
cana-3438	123	7	,	,	PUNCT
cana-3438	123	8	enables	enable	VERB
cana-3438	123	9	coordinated	coordinated	ADJ
cana-3438	123	10	model	model	NOUN
cana-3438	123	11	training	training	NOUN
cana-3438	123	12	while	while	SCONJ
cana-3438	123	13	avoiding	avoid	VERB
cana-3438	123	14	individual	individual	ADJ
cana-3438	123	15	patient	patient	ADJ
cana-3438	123	16	data	datum	NOUN
cana-3438	123	17	exchange	exchange	NOUN
cana-3438	123	18	among	among	ADP
cana-3438	123	19	institutions	institution	NOUN
cana-3438	123	20	to	to	PART
cana-3438	123	21	protect	protect	VERB
cana-3438	123	22	patients	patient	NOUN
cana-3438	123	23	'	'	PART
cana-3438	123	24	privacy	privacy	NOUN
cana-3438	123	25	[	[	X
cana-3438	123	26	9	9	NUM
cana-3438	123	27	,	,	PUNCT
cana-3438	123	28	13	13	NUM
cana-3438	123	29	]	]	PUNCT
cana-3438	123	30	.	.	PUNCT
cana-3438	124	1	the	the	DET
cana-3438	124	2	interoperability	interoperability	NOUN
cana-3438	124	3	between	between	ADP
cana-3438	124	4	different	different	ADJ
cana-3438	124	5	imaging	imaging	NOUN
cana-3438	124	6	formats	format	NOUN
cana-3438	124	7	and	and	CCONJ
cana-3438	124	8	systems	system	NOUN
cana-3438	124	9	present	present	ADJ
cana-3438	124	10	in	in	ADP
cana-3438	124	11	every	every	DET
cana-3438	124	12	healthcare	healthcare	NOUN
cana-3438	124	13	facility	facility	NOUN
cana-3438	124	14	still	still	ADV
cana-3438	124	15	is	be	AUX
cana-3438	124	16	a	a	DET
cana-3438	124	17	major	major	ADJ
cana-3438	124	18	challenge	challenge	NOUN
cana-3438	124	19	for	for	ADP
cana-3438	124	20	image	image	NOUN
cana-3438	124	21	data	datum	NOUN
cana-3438	124	22	integration	integration	NOUN
cana-3438	124	23	.	.	PUNCT
cana-3438	125	1	addressing	address	VERB
cana-3438	125	2	these	these	DET
cana-3438	125	3	obstacles	obstacle	NOUN
cana-3438	125	4	will	will	AUX
cana-3438	125	5	necessitate	necessitate	ADJ
cana-3438	125	6	standards	standard	NOUN
cana-3438	125	7	that	that	PRON
cana-3438	125	8	standardize	standardize	VERB
cana-3438	125	9	data	datum	NOUN
cana-3438	125	10	formats	format	NOUN
cana-3438	125	11	and	and	CCONJ
cana-3438	125	12	confirm	confirm	VERB
cana-3438	125	13	the	the	DET
cana-3438	125	14	downstream	downstream	ADJ
cana-3438	125	15	compatibility	compatibility	NOUN
cana-3438	125	16	of	of	ADP
cana-3438	125	17	deep	deep	ADJ
cana-3438	125	18	learning	learning	NOUN
cana-3438	125	19	with	with	ADP
cana-3438	125	20	existing	exist	VERB
cana-3438	125	21	radiology	radiology	NOUN
cana-3438	125	22	infrastructure	infrastructure	NOUN
cana-3438	125	23	[	[	X
cana-3438	125	24	20	20	NUM
cana-3438	125	25	]	]	PUNCT
cana-3438	125	26	.	.	PUNCT
cana-3438	126	1	5.3	5.3	NUM
cana-3438	126	2	resolutions	resolution	NOUN
cana-3438	126	3	for	for	ADP
cana-3438	126	4	identified	identify	VERB
cana-3438	126	5	it	it	PRON
cana-3438	126	6	issues	issue	NOUN
cana-3438	126	7	(	(	PUNCT
cana-3438	126	8	data	datum	NOUN
cana-3438	126	9	standardization	standardization	NOUN
cana-3438	126	10	,	,	PUNCT
cana-3438	126	11	model	model	NOUN
cana-3438	126	12	fairness	fairness	NOUN
cana-3438	126	13	,	,	PUNCT
cana-3438	126	14	and	and	CCONJ
cana-3438	126	15	robustness	robustness	NOUN
cana-3438	126	16	)	)	PUNCT
cana-3438	126	17	tackling	tackle	VERB
cana-3438	126	18	the	the	DET
cana-3438	126	19	it	it	PRON
cana-3438	126	20	problems	problem	VERB
cana-3438	126	21	demands	demand	VERB
cana-3438	126	22	incremental	incremental	ADJ
cana-3438	126	23	data	datum	NOUN
cana-3438	126	24	standardization	standardization	NOUN
cana-3438	126	25	,	,	PUNCT
cana-3438	126	26	model	model	NOUN
cana-3438	126	27	fairness	fairness	NOUN
cana-3438	126	28	&	&	CCONJ
cana-3438	126	29	robustness	robustness	NOUN
cana-3438	126	30	.	.	PUNCT
cana-3438	127	1	importantly	importantly	ADV
cana-3438	127	2	,	,	PUNCT
cana-3438	127	3	data	datum	NOUN
cana-3438	127	4	standardization	standardization	NOUN
cana-3438	127	5	is	be	AUX
cana-3438	127	6	important	important	ADJ
cana-3438	127	7	in	in	ADP
cana-3438	127	8	ensuring	ensure	VERB
cana-3438	127	9	that	that	SCONJ
cana-3438	127	10	models	model	NOUN
cana-3438	127	11	are	be	AUX
cana-3438	127	12	trained	train	VERB
cana-3438	127	13	and	and	CCONJ
cana-3438	127	14	validated	validate	VERB
cana-3438	127	15	in	in	ADP
cana-3438	127	16	the	the	DET
cana-3438	127	17	same	same	ADJ
cana-3438	127	18	form	form	NOUN
cana-3438	127	19	,	,	PUNCT
cana-3438	127	20	aiding	aid	VERB
cana-3438	127	21	the	the	DET
cana-3438	127	22	generalizability	generalizability	NOUN
cana-3438	127	23	of	of	ADP
cana-3438	127	24	ml	ml	ADV
cana-3438	127	25	-	-	PUNCT
cana-3438	127	26	based	base	VERB
cana-3438	127	27	models	model	NOUN
cana-3438	127	28	from	from	ADP
cana-3438	127	29	one	one	NUM
cana-3438	127	30	institution	institution	NOUN
cana-3438	127	31	to	to	ADP
cana-3438	127	32	other	other	ADJ
cana-3438	127	33	institutions	institution	NOUN
cana-3438	127	34	.	.	PUNCT
cana-3438	128	1	here	here	ADV
cana-3438	128	2	,	,	PUNCT
cana-3438	128	3	differences	difference	NOUN
cana-3438	128	4	in	in	ADP
cana-3438	128	5	data	datum	NOUN
cana-3438	128	6	acquisition	acquisition	NOUN
cana-3438	128	7	protocols	protocol	NOUN
cana-3438	128	8	and	and	CCONJ
cana-3438	128	9	imaging	imaging	NOUN
cana-3438	128	10	modalities	modality	NOUN
cana-3438	128	11	can	can	AUX
cana-3438	128	12	compromise	compromise	VERB
cana-3438	128	13	model	model	NOUN
cana-3438	128	14	performance	performance	NOUN
cana-3438	128	15	on	on	ADP
cana-3438	128	16	a	a	DET
cana-3438	128	17	varied	varied	ADJ
cana-3438	128	18	dataset	dataset	NOUN
cana-3438	128	19	[	[	X
cana-3438	128	20	18	18	NUM
cana-3438	128	21	]	]	PUNCT
cana-3438	128	22	.	.	PUNCT
cana-3438	129	1	and	and	CCONJ
cana-3438	129	2	to	to	PART
cana-3438	129	3	avoid	avoid	VERB
cana-3438	129	4	impacting	impact	VERB
cana-3438	129	5	certain	certain	ADJ
cana-3438	129	6	patient	patient	ADJ
cana-3438	129	7	demographics	demographic	NOUN
cana-3438	129	8	more	more	ADJ
cana-3438	129	9	than	than	ADP
cana-3438	129	10	others	other	NOUN
cana-3438	129	11	,	,	PUNCT
cana-3438	129	12	model	model	NOUN
cana-3438	129	13	fairness	fairness	NOUN
cana-3438	129	14	must	must	AUX
cana-3438	129	15	be	be	AUX
cana-3438	129	16	a	a	DET
cana-3438	129	17	focus	focus	NOUN
cana-3438	129	18	.	.	PUNCT
cana-3438	130	1	this	this	PRON
cana-3438	130	2	can	can	AUX
cana-3438	130	3	be	be	AUX
cana-3438	130	4	accomplished	accomplish	VERB
cana-3438	130	5	through	through	ADP
cana-3438	130	6	training	train	VERB
cana-3438	130	7	the	the	DET
cana-3438	130	8	models	model	NOUN
cana-3438	130	9	on	on	ADP
cana-3438	130	10	demographically	demographically	ADV
cana-3438	130	11	balanced	balance	VERB
cana-3438	130	12	datasets	dataset	NOUN
cana-3438	130	13	and	and	CCONJ
cana-3438	130	14	including	include	VERB
cana-3438	130	15	fairness	fairness	NOUN
cana-3438	130	16	metrics	metric	NOUN
cana-3438	130	17	in	in	ADP
cana-3438	130	18	the	the	DET
cana-3438	130	19	model	model	NOUN
cana-3438	130	20	evaluation	evaluation	NOUN
cana-3438	130	21	process	process	NOUN
cana-3438	130	22	.	.	PUNCT
cana-3438	131	1	alternatively	alternatively	ADV
cana-3438	131	2	,	,	PUNCT
cana-3438	131	3	robustness	robustness	NOUN
cana-3438	131	4	testing	testing	NOUN
cana-3438	131	5	is	be	AUX
cana-3438	131	6	done	do	VERB
cana-3438	131	7	to	to	PART
cana-3438	131	8	ensure	ensure	VERB
cana-3438	131	9	model	model	NOUN
cana-3438	131	10	resilience	resilience	NOUN
cana-3438	131	11	in	in	ADP
cana-3438	131	12	clinical	clinical	ADJ
cana-3438	131	13	applications	application	NOUN
cana-3438	131	14	by	by	ADP
cana-3438	131	15	measuring	measure	VERB
cana-3438	131	16	how	how	SCONJ
cana-3438	131	17	the	the	DET
cana-3438	131	18	performance	performance	NOUN
cana-3438	131	19	is	be	AUX
cana-3438	131	20	affected	affect	VERB
cana-3438	131	21	due	due	ADP
cana-3438	131	22	to	to	ADP
cana-3438	131	23	differences	difference	NOUN
cana-3438	131	24	in	in	ADP
cana-3438	131	25	imaging	imaging	NOUN
cana-3438	131	26	conditions	condition	NOUN
cana-3438	131	27	[	[	X
cana-3438	131	28	21	21	NUM
cana-3438	131	29	]	]	PUNCT
cana-3438	131	30	.	.	PUNCT
cana-3438	132	1	5.4	5.4	NUM
cana-3438	132	2	future	future	ADJ
cana-3438	132	3	directions	direction	NOUN
cana-3438	132	4	in	in	ADP
cana-3438	132	5	it	it	PRON
cana-3438	132	6	advancements	advancement	NOUN
cana-3438	132	7	(	(	PUNCT
cana-3438	132	8	e.g.	e.g.	ADV
cana-3438	132	9	,	,	PUNCT
cana-3438	132	10	quantum	quantum	ADJ
cana-3438	132	11	computing	computing	NOUN
cana-3438	132	12	,	,	PUNCT
cana-3438	132	13	edge	edge	NOUN
cana-3438	132	14	computing	computing	NOUN
cana-3438	132	15	in	in	ADP
cana-3438	132	16	medical	medical	ADJ
cana-3438	132	17	imaging	imaging	NOUN
cana-3438	132	18	)	)	PUNCT
cana-3438	132	19	the	the	DET
cana-3438	132	20	future	future	ADJ
cana-3438	132	21	technological	technological	ADJ
cana-3438	132	22	advancements	advancement	NOUN
cana-3438	132	23	in	in	ADP
cana-3438	132	24	it	it	PRON
cana-3438	132	25	will	will	AUX
cana-3438	132	26	only	only	ADV
cana-3438	132	27	continue	continue	VERB
cana-3438	132	28	raising	raise	VERB
cana-3438	132	29	deep	deep	ADJ
cana-3438	132	30	learning	learning	NOUN
cana-3438	132	31	applications	application	NOUN
cana-3438	132	32	for	for	ADP
cana-3438	132	33	medical	medical	ADJ
cana-3438	132	34	imaging	imaging	NOUN
cana-3438	132	35	.	.	PUNCT
cana-3438	133	1	due	due	ADP
cana-3438	133	2	to	to	ADP
cana-3438	133	3	quantum	quantum	ADJ
cana-3438	133	4	computing	computing	NOUN
cana-3438	133	5	's	's	PART
cana-3438	133	6	possible	possible	ADJ
cana-3438	133	7	massively	massively	ADV
cana-3438	133	8	parallel	parallel	ADJ
cana-3438	133	9	processing	processing	NOUN
cana-3438	133	10	,	,	PUNCT
cana-3438	133	11	it	it	PRON
cana-3438	133	12	may	may	AUX
cana-3438	133	13	improve	improve	VERB
cana-3438	133	14	deep	deep	ADJ
cana-3438	133	15	learning	learning	NOUN
cana-3438	133	16	computations	computation	NOUN
cana-3438	133	17	,	,	PUNCT
cana-3438	133	18	as	as	SCONJ
cana-3438	133	19	these	these	DET
cana-3438	133	20	solutions	solution	NOUN
cana-3438	133	21	are	be	AUX
cana-3438	133	22	limited	limit	VERB
cana-3438	133	23	by	by	ADP
cana-3438	133	24	standard	standard	ADJ
cana-3438	133	25	processing	processing	NOUN
cana-3438	133	26	power	power	NOUN
cana-3438	133	27	today	today	NOUN
cana-3438	133	28	and	and	CCONJ
cana-3438	133	29	allow	allow	VERB
cana-3438	133	30	for	for	ADP
cana-3438	133	31	real	real	ADJ
cana-3438	133	32	-	-	PUNCT
cana-3438	133	33	time	time	NOUN
cana-3438	133	34	diagnostics	diagnostic	NOUN
cana-3438	133	35	[	[	X
cana-3438	133	36	25	25	NUM
cana-3438	133	37	]	]	PUNCT
cana-3438	133	38	.	.	PUNCT
cana-3438	134	1	second	second	ADJ
cana-3438	134	2	,	,	PUNCT
cana-3438	134	3	edge	edge	NOUN
cana-3438	134	4	computing	computing	NOUN
cana-3438	134	5	is	be	AUX
cana-3438	134	6	a	a	DET
cana-3438	134	7	major	major	ADJ
cana-3438	134	8	advancement	advancement	NOUN
cana-3438	134	9	in	in	ADP
cana-3438	134	10	the	the	DET
cana-3438	134	11	deployment	deployment	NOUN
cana-3438	134	12	of	of	ADP
cana-3438	134	13	deep	deep	ADJ
cana-3438	134	14	learning	learning	NOUN
cana-3438	134	15	tools	tool	NOUN
cana-3438	134	16	into	into	ADP
cana-3438	134	17	clinical	clinical	ADJ
cana-3438	134	18	settings	setting	NOUN
cana-3438	134	19	.	.	PUNCT
cana-3438	135	1	edge	edge	NOUN
cana-3438	135	2	computing	computing	NOUN
cana-3438	135	3	may	may	AUX
cana-3438	135	4	help	help	VERB
cana-3438	135	5	to	to	PART
cana-3438	135	6	further	far	ADV
cana-3438	135	7	decrease	decrease	VERB
cana-3438	135	8	the	the	DET
cana-3438	135	9	time	time	NOUN
cana-3438	135	10	interval	interval	NOUN
cana-3438	135	11	from	from	ADP
cana-3438	135	12	image	image	NOUN
cana-3438	135	13	acquisition	acquisition	NOUN
cana-3438	135	14	to	to	PART
cana-3438	135	15	diagnosis	diagnosis	VERB
cana-3438	135	16	as	as	SCONJ
cana-3438	135	17	it	it	PRON
cana-3438	135	18	processes	process	VERB
cana-3438	135	19	data	datum	NOUN
cana-3438	135	20	locally	locally	ADV
cana-3438	135	21	[	[	X
cana-3438	135	22	27	27	NUM
cana-3438	135	23	]	]	PUNCT
cana-3438	135	24	.	.	PUNCT
cana-3438	136	1	these	these	DET
cana-3438	136	2	technologies	technology	NOUN
cana-3438	136	3	are	be	AUX
cana-3438	136	4	nascent	nascent	ADJ
cana-3438	136	5	at	at	ADP
cana-3438	136	6	this	this	DET
cana-3438	136	7	point	point	NOUN
cana-3438	136	8	but	but	CCONJ
cana-3438	136	9	would	would	AUX
cana-3438	136	10	be	be	AUX
cana-3438	136	11	able	able	ADJ
cana-3438	136	12	to	to	PART
cana-3438	136	13	alleviate	alleviate	VERB
cana-3438	136	14	existing	exist	VERB
cana-3438	136	15	computational	computational	ADJ
cana-3438	136	16	bottlenecks	bottleneck	NOUN
cana-3438	136	17	,	,	PUNCT
cana-3438	136	18	facilitating	facilitate	VERB
cana-3438	136	19	the	the	DET
cana-3438	136	20	comprehensive	comprehensive	ADJ
cana-3438	136	21	development	development	NOUN
cana-3438	136	22	of	of	ADP
cana-3438	136	23	ai	ai	ADJ
cana-3438	136	24	-	-	PUNCT
cana-3438	136	25	powered	power	VERB
cana-3438	136	26	diagnostics	diagnostic	NOUN
cana-3438	136	27	in	in	ADP
cana-3438	136	28	healthcare	healthcare	PROPN
cana-3438	136	29	.	.	PUNCT
cana-3438	137	1	5.5	5.5	NUM
cana-3438	137	2	policy	policy	NOUN
cana-3438	137	3	recommendations	recommendation	NOUN
cana-3438	137	4	for	for	ADP
cana-3438	137	5	it	it	PRON
cana-3438	137	6	-	-	PUNCT
cana-3438	137	7	enhanced	enhance	VERB
cana-3438	137	8	healthcare	healthcare	NOUN
cana-3438	137	9	solutions	solution	NOUN
cana-3438	137	10	it	it	PRON
cana-3438	137	11	is	be	AUX
cana-3438	137	12	a	a	DET
cana-3438	137	13	race	race	NOUN
cana-3438	137	14	against	against	ADP
cana-3438	137	15	time	time	NOUN
cana-3438	137	16	to	to	PART
cana-3438	137	17	construct	construct	VERB
cana-3438	137	18	appropriate	appropriate	ADJ
cana-3438	137	19	policy	policy	NOUN
cana-3438	137	20	foundations	foundation	NOUN
cana-3438	137	21	that	that	PRON
cana-3438	137	22	will	will	AUX
cana-3438	137	23	allow	allow	VERB
cana-3438	137	24	decision	decision	NOUN
cana-3438	137	25	-	-	PUNCT
cana-3438	137	26	makers	maker	NOUN
cana-3438	137	27	in	in	ADP
cana-3438	137	28	radiology	radiology	NOUN
cana-3438	137	29	to	to	PART
cana-3438	137	30	harness	harness	VERB
cana-3438	137	31	the	the	DET
cana-3438	137	32	advances	advance	NOUN
cana-3438	137	33	offered	offer	VERB
cana-3438	137	34	by	by	ADP
cana-3438	137	35	it	it	PRON
cana-3438	137	36	.	.	PUNCT
cana-3438	138	1	policies	policy	NOUN
cana-3438	138	2	would	would	AUX
cana-3438	138	3	need	need	VERB
cana-3438	138	4	to	to	PART
cana-3438	138	5	focus	focus	VERB
cana-3438	138	6	on	on	ADP
cana-3438	138	7	data	datum	NOUN
cana-3438	138	8	security	security	NOUN
cana-3438	138	9	,	,	PUNCT
cana-3438	138	10	model	model	NOUN
cana-3438	138	11	communications	communication	NOUN
cana-3438	138	12	on	on	ADP
cana-3438	138	13	applied	apply	VERB
cana-3438	138	14	nonlinear	nonlinear	ADJ
cana-3438	138	15	analysis	analysis	NOUN
cana-3438	138	16	issn	issn	NOUN
cana-3438	138	17	:	:	PUNCT
cana-3438	138	18	1074	1074	NUM
cana-3438	138	19	-	-	PUNCT
cana-3438	138	20	133x	133x	NUM
cana-3438	138	21	vol	vol	NOUN
cana-3438	138	22	32	32	NUM
cana-3438	138	23	no	no	NOUN
cana-3438	138	24	.	.	PUNCT
cana-3438	139	1	7s	7	NOUN
cana-3438	139	2	(	(	PUNCT
cana-3438	139	3	2025	2025	NUM
cana-3438	139	4	)	)	PUNCT
cana-3438	139	5	389	389	NUM
cana-3438	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	139	7	explainability	explainability	NOUN
cana-3438	139	8	and	and	CCONJ
cana-3438	139	9	accountability	accountability	NOUN
cana-3438	139	10	that	that	PRON
cana-3438	139	11	would	would	AUX
cana-3438	139	12	guide	guide	VERB
cana-3438	139	13	healthcare	healthcare	NOUN
cana-3438	139	14	institutions	institution	NOUN
cana-3438	139	15	to	to	PART
cana-3438	139	16	employ	employ	VERB
cana-3438	139	17	ai	ai	VERB
cana-3438	139	18	responsibly	responsibly	ADV
cana-3438	139	19	and	and	CCONJ
cana-3438	139	20	ethically	ethically	ADV
cana-3438	139	21	in	in	ADP
cana-3438	139	22	diagnostics	diagnostic	NOUN
cana-3438	139	23	.	.	PUNCT
cana-3438	140	1	regulatory	regulatory	ADJ
cana-3438	140	2	agencies	agency	NOUN
cana-3438	140	3	should	should	AUX
cana-3438	140	4	provide	provide	VERB
cana-3438	140	5	transparent	transparent	ADJ
cana-3438	140	6	standards	standard	NOUN
cana-3438	140	7	for	for	ADP
cana-3438	140	8	model	model	NOUN
cana-3438	140	9	validation	validation	NOUN
cana-3438	140	10	and	and	CCONJ
cana-3438	140	11	explainability	explainability	NOUN
cana-3438	140	12	,	,	PUNCT
cana-3438	140	13	such	such	ADJ
cana-3438	140	14	that	that	SCONJ
cana-3438	140	15	ai	ai	NOUN
cana-3438	140	16	-	-	PUNCT
cana-3438	140	17	driven	drive	VERB
cana-3438	140	18	tools	tool	NOUN
cana-3438	140	19	fulfil	fulfil	NOUN
cana-3438	140	20	stringent	stringent	ADJ
cana-3438	140	21	clinical	clinical	ADJ
cana-3438	140	22	criteria	criterion	NOUN
cana-3438	140	23	before	before	ADP
cana-3438	140	24	deployment	deployment	NOUN
cana-3438	140	25	[	[	X
cana-3438	140	26	28	28	NUM
cana-3438	140	27	]	]	PUNCT
cana-3438	140	28	.	.	PUNCT
cana-3438	141	1	further	far	ADV
cana-3438	141	2	,	,	PUNCT
cana-3438	141	3	policies	policy	NOUN
cana-3438	141	4	could	could	AUX
cana-3438	141	5	support	support	VERB
cana-3438	141	6	the	the	DET
cana-3438	141	7	frameworks	framework	NOUN
cana-3438	141	8	of	of	ADP
cana-3438	141	9	cooperation	cooperation	NOUN
cana-3438	141	10	that	that	PRON
cana-3438	141	11	facilitate	facilitate	VERB
cana-3438	141	12	data	datum	NOUN
cana-3438	141	13	sharing	share	VERB
cana-3438	141	14	via	via	ADP
cana-3438	141	15	federated	federated	ADJ
cana-3438	141	16	learning	learning	NOUN
cana-3438	141	17	approaches	approach	NOUN
cana-3438	141	18	to	to	PART
cana-3438	141	19	strengthen	strengthen	VERB
cana-3438	141	20	meaningful	meaningful	ADJ
cana-3438	141	21	models	model	NOUN
cana-3438	141	22	without	without	ADP
cana-3438	141	23	compromising	compromise	VERB
cana-3438	141	24	patient	patient	ADJ
cana-3438	141	25	privacy	privacy	NOUN
cana-3438	141	26	.	.	PUNCT
cana-3438	142	1	public	public	ADJ
cana-3438	142	2	-	-	PUNCT
cana-3438	142	3	private	private	ADJ
cana-3438	142	4	sector	sector	NOUN
cana-3438	142	5	partnerships	partnership	NOUN
cana-3438	142	6	may	may	AUX
cana-3438	142	7	also	also	ADV
cana-3438	142	8	be	be	AUX
cana-3438	142	9	essential	essential	ADJ
cana-3438	142	10	for	for	ADP
cana-3438	142	11	funding	fund	VERB
cana-3438	142	12	research	research	NOUN
cana-3438	142	13	that	that	PRON
cana-3438	142	14	leads	lead	VERB
cana-3438	142	15	to	to	ADP
cana-3438	142	16	it	it	PRON
cana-3438	142	17	-	-	PUNCT
cana-3438	142	18	based	base	VERB
cana-3438	142	19	healthcare	healthcare	NOUN
cana-3438	142	20	innovations	innovation	NOUN
cana-3438	142	21	,	,	PUNCT
cana-3438	142	22	closing	close	VERB
cana-3438	142	23	the	the	DET
cana-3438	142	24	technology	technology	NOUN
cana-3438	142	25	and	and	CCONJ
cana-3438	142	26	clinical	clinical	ADJ
cana-3438	142	27	gaps	gap	NOUN
cana-3438	142	28	.	.	PUNCT
cana-3438	143	1	6	6	X
cana-3438	143	2	.	.	X
cana-3438	143	3	conclusion	conclusion	NOUN
cana-3438	143	4	6.1	6.1	NUM
cana-3438	143	5	summary	summary	NOUN
cana-3438	143	6	of	of	ADP
cana-3438	143	7	key	key	ADJ
cana-3438	143	8	findings	finding	NOUN
cana-3438	143	9	and	and	CCONJ
cana-3438	143	10	it	it	PRON
cana-3438	143	11	-	-	PUNCT
cana-3438	143	12	related	relate	VERB
cana-3438	143	13	contributions	contribution	NOUN
cana-3438	143	14	the	the	DET
cana-3438	143	15	study	study	NOUN
cana-3438	143	16	examined	examine	VERB
cana-3438	143	17	the	the	DET
cana-3438	143	18	use	use	NOUN
cana-3438	143	19	of	of	ADP
cana-3438	143	20	automated	automate	VERB
cana-3438	143	21	diagnostic	diagnostic	ADJ
cana-3438	143	22	tools	tool	NOUN
cana-3438	143	23	in	in	ADP
cana-3438	143	24	deep	deep	ADJ
cana-3438	143	25	learning	learning	NOUN
cana-3438	143	26	techniques	technique	NOUN
cana-3438	143	27	and	and	CCONJ
cana-3438	143	28	how	how	SCONJ
cana-3438	143	29	they	they	PRON
cana-3438	143	30	can	can	AUX
cana-3438	143	31	be	be	AUX
cana-3438	143	32	utilized	utilize	VERB
cana-3438	143	33	to	to	PART
cana-3438	143	34	complement	complement	VERB
cana-3438	143	35	traditional	traditional	ADJ
cana-3438	143	36	methods	method	NOUN
cana-3438	143	37	,	,	PUNCT
cana-3438	143	38	and	and	CCONJ
cana-3438	143	39	radiological	radiological	ADJ
cana-3438	143	40	practices	practice	NOUN
cana-3438	143	41	within	within	ADP
cana-3438	143	42	medical	medical	ADJ
cana-3438	143	43	image	image	NOUN
cana-3438	143	44	analysis	analysis	NOUN
cana-3438	143	45	.	.	PUNCT
cana-3438	144	1	results	result	NOUN
cana-3438	144	2	showed	show	VERB
cana-3438	144	3	that	that	SCONJ
cana-3438	144	4	cnn	cnn	PROPN
cana-3438	144	5	and	and	CCONJ
cana-3438	144	6	transformer	transformer	NOUN
cana-3438	144	7	-	-	PUNCT
cana-3438	144	8	based	base	VERB
cana-3438	144	9	architectures	architecture	NOUN
cana-3438	144	10	improved	improve	VERB
cana-3438	144	11	the	the	DET
cana-3438	144	12	diagnostic	diagnostic	ADJ
cana-3438	144	13	accuracy	accuracy	NOUN
cana-3438	144	14	,	,	PUNCT
cana-3438	144	15	sensitivity	sensitivity	NOUN
cana-3438	144	16	and	and	CCONJ
cana-3438	144	17	specificity	specificity	NOUN
cana-3438	144	18	for	for	ADP
cana-3438	144	19	detecting	detect	VERB
cana-3438	144	20	different	different	ADJ
cana-3438	144	21	diseases	disease	NOUN
cana-3438	144	22	using	use	VERB
cana-3438	144	23	different	different	ADJ
cana-3438	144	24	imaging	imaging	NOUN
cana-3438	144	25	modalities	modality	NOUN
cana-3438	144	26	(	(	PUNCT
cana-3438	144	27	x	x	NOUN
cana-3438	144	28	-	-	NOUN
cana-3438	144	29	ray	ray	NOUN
cana-3438	144	30	,	,	PUNCT
cana-3438	144	31	ct	ct	PROPN
cana-3438	144	32	,	,	PUNCT
cana-3438	144	33	mri	mri	NOUN
cana-3438	144	34	)	)	PUNCT
cana-3438	145	1	[	[	X
cana-3438	145	2	26	26	NUM
cana-3438	145	3	,	,	PUNCT
cana-3438	145	4	27	27	NUM
cana-3438	145	5	]	]	PUNCT
cana-3438	145	6	.	.	PUNCT
cana-3438	146	1	they	they	PRON
cana-3438	146	2	are	be	AUX
cana-3438	146	3	useful	useful	ADJ
cana-3438	146	4	adjuncts	adjunct	NOUN
cana-3438	146	5	to	to	ADP
cana-3438	146	6	diagnosis	diagnosis	NOUN
cana-3438	146	7	,	,	PUNCT
cana-3438	146	8	assisting	assist	VERB
cana-3438	146	9	radiologists	radiologist	NOUN
cana-3438	146	10	process	process	VERB
cana-3438	146	11	large	large	ADJ
cana-3438	146	12	returns	return	NOUN
cana-3438	146	13	of	of	ADP
cana-3438	146	14	imaging	imaging	NOUN
cana-3438	146	15	data	datum	NOUN
cana-3438	146	16	with	with	ADP
cana-3438	146	17	shorter	short	ADJ
cana-3438	146	18	turnaround	turnaround	NOUN
cana-3438	146	19	times	time	NOUN
cana-3438	146	20	.	.	PUNCT
cana-3438	147	1	finally	finally	ADV
cana-3438	147	2	,	,	PUNCT
cana-3438	147	3	the	the	DET
cana-3438	147	4	study	study	NOUN
cana-3438	147	5	's	's	PART
cana-3438	147	6	application	application	NOUN
cana-3438	147	7	of	of	ADP
cana-3438	147	8	edge	edge	NOUN
cana-3438	147	9	and	and	CCONJ
cana-3438	147	10	cloud	cloud	NOUN
cana-3438	147	11	computing	computing	NOUN
cana-3438	147	12	paradigms	paradigm	NOUN
cana-3438	147	13	emphasizes	emphasize	VERB
cana-3438	147	14	it	it	PRON
cana-3438	147	15	as	as	ADP
cana-3438	147	16	a	a	DET
cana-3438	147	17	key	key	ADJ
cana-3438	147	18	enabler	enabler	NOUN
cana-3438	147	19	for	for	ADP
cana-3438	147	20	scaling	scale	VERB
cana-3438	147	21	diagnostics	diagnostic	NOUN
cana-3438	147	22	,	,	PUNCT
cana-3438	147	23	especially	especially	ADV
cana-3438	147	24	in	in	ADP
cana-3438	147	25	highthroughput	highthroughput	ADJ
cana-3438	147	26	environments	environment	NOUN
cana-3438	147	27	and	and	CCONJ
cana-3438	147	28	reinforces	reinforce	VERB
cana-3438	147	29	the	the	DET
cana-3438	147	30	potential	potential	ADJ
cana-3438	147	31	impact	impact	NOUN
cana-3438	147	32	deep	deep	ADJ
cana-3438	147	33	learning	learning	NOUN
cana-3438	147	34	can	can	AUX
cana-3438	147	35	have	have	VERB
cana-3438	147	36	on	on	ADP
cana-3438	147	37	radiology	radiology	NOUN
cana-3438	147	38	[	[	X
cana-3438	147	39	15	15	NUM
cana-3438	147	40	]	]	PUNCT
cana-3438	147	41	.	.	PUNCT
cana-3438	148	1	6.2	6.2	NUM
cana-3438	148	2	impact	impact	NOUN
cana-3438	148	3	of	of	ADP
cana-3438	148	4	it	it	PRON
cana-3438	148	5	advancements	advancement	VERB
cana-3438	148	6	on	on	ADP
cana-3438	148	7	medical	medical	ADJ
cana-3438	148	8	image	image	NOUN
cana-3438	148	9	analysis	analysis	NOUN
cana-3438	148	10	and	and	CCONJ
cana-3438	148	11	radiology	radiology	NOUN
cana-3438	148	12	it	it	PRON
cana-3438	148	13	advancements	advancement	NOUN
cana-3438	148	14	,	,	PUNCT
cana-3438	148	15	especially	especially	ADV
cana-3438	148	16	deep	deep	ADJ
cana-3438	148	17	learning	learning	NOUN
cana-3438	148	18	algorithms	algorithm	NOUN
cana-3438	148	19	,	,	PUNCT
cana-3438	148	20	have	have	AUX
cana-3438	148	21	encouraged	encourage	VERB
cana-3438	148	22	medical	medical	ADJ
cana-3438	148	23	image	image	NOUN
cana-3438	148	24	analysis	analysis	NOUN
cana-3438	148	25	to	to	PART
cana-3438	148	26	provide	provide	VERB
cana-3438	148	27	an	an	DET
cana-3438	148	28	accurate	accurate	ADJ
cana-3438	148	29	and	and	CCONJ
cana-3438	148	30	efficient	efficient	ADJ
cana-3438	148	31	diagnostic	diagnostic	ADJ
cana-3438	148	32	process	process	NOUN
cana-3438	148	33	.	.	PUNCT
cana-3438	149	1	these	these	DET
cana-3438	149	2	advancements	advancement	NOUN
cana-3438	149	3	help	help	AUX
cana-3438	149	4	fulfil	fulfil	VERB
cana-3438	149	5	a	a	DET
cana-3438	149	6	pressing	press	VERB
cana-3438	149	7	need	need	NOUN
cana-3438	149	8	within	within	ADP
cana-3438	149	9	healthcare	healthcare	NOUN
cana-3438	149	10	,	,	PUNCT
cana-3438	149	11	improving	improve	VERB
cana-3438	149	12	radiologist	radiologist	ADJ
cana-3438	149	13	workflow	workflow	NOUN
cana-3438	149	14	and	and	CCONJ
cana-3438	149	15	clinical	clinical	ADJ
cana-3438	149	16	diagnostic	diagnostic	ADJ
cana-3438	149	17	precision	precision	NOUN
cana-3438	149	18	in	in	ADP
cana-3438	149	19	high	high	ADJ
cana-3438	149	20	acuity	acuity	NOUN
cana-3438	149	21	or	or	CCONJ
cana-3438	149	22	time	time	NOUN
cana-3438	149	23	-	-	PUNCT
cana-3438	149	24	sensitive	sensitive	ADJ
cana-3438	149	25	cases	case	NOUN
cana-3438	149	26	.	.	PUNCT
cana-3438	150	1	furthermore	furthermore	ADV
cana-3438	150	2	,	,	PUNCT
cana-3438	150	3	the	the	DET
cana-3438	150	4	implementation	implementation	NOUN
cana-3438	150	5	of	of	ADP
cana-3438	150	6	it	it	PRON
cana-3438	150	7	solutions	solution	VERB
cana-3438	150	8	like	like	ADP
cana-3438	150	9	federated	federated	ADJ
cana-3438	150	10	learning	learning	NOUN
cana-3438	150	11	has	have	AUX
cana-3438	150	12	increased	increase	VERB
cana-3438	150	13	privacy	privacy	NOUN
cana-3438	150	14	and	and	CCONJ
cana-3438	150	15	security	security	NOUN
cana-3438	150	16	in	in	ADP
cana-3438	150	17	medical	medical	ADJ
cana-3438	150	18	imaging	imaging	NOUN
cana-3438	150	19	,	,	PUNCT
cana-3438	150	20	which	which	PRON
cana-3438	150	21	complies	comply	VERB
cana-3438	150	22	with	with	ADP
cana-3438	150	23	regulatory	regulatory	ADJ
cana-3438	150	24	efforts	effort	NOUN
cana-3438	150	25	that	that	PRON
cana-3438	150	26	aim	aim	VERB
cana-3438	150	27	to	to	PART
cana-3438	150	28	keep	keep	VERB
cana-3438	150	29	patients	patient	NOUN
cana-3438	150	30	anonymous	anonymous	ADJ
cana-3438	150	31	[	[	X
cana-3438	150	32	10	10	NUM
cana-3438	150	33	,	,	PUNCT
cana-3438	150	34	19	19	NUM
cana-3438	150	35	]	]	PUNCT
cana-3438	150	36	.	.	PUNCT
cana-3438	151	1	however	however	ADV
cana-3438	151	2	using	use	VERB
cana-3438	151	3	these	these	DET
cana-3438	151	4	tools	tool	NOUN
cana-3438	151	5	provides	provide	VERB
cana-3438	151	6	new	new	ADJ
cana-3438	151	7	challenges	challenge	NOUN
cana-3438	151	8	as	as	ADV
cana-3438	151	9	well	well	ADV
cana-3438	151	10	,	,	PUNCT
cana-3438	151	11	such	such	ADJ
cana-3438	151	12	as	as	ADP
cana-3438	151	13	the	the	DET
cana-3438	151	14	interoperability	interoperability	NOUN
cana-3438	151	15	of	of	ADP
cana-3438	151	16	data	datum	NOUN
cana-3438	151	17	between	between	ADP
cana-3438	151	18	systems	system	NOUN
cana-3438	151	19	and	and	CCONJ
cana-3438	151	20	latency	latency	NOUN
cana-3438	151	21	problems	problem	NOUN
cana-3438	151	22	for	for	ADP
cana-3438	151	23	real	real	ADJ
cana-3438	151	24	-	-	PUNCT
cana-3438	151	25	time	time	NOUN
cana-3438	151	26	applications	application	NOUN
cana-3438	151	27	.	.	PUNCT
cana-3438	152	1	moreover	moreover	ADV
cana-3438	152	2	,	,	PUNCT
cana-3438	152	3	dependency	dependency	NOUN
cana-3438	152	4	on	on	ADP
cana-3438	152	5	high	high	ADJ
cana-3438	152	6	-	-	PUNCT
cana-3438	152	7	performance	performance	NOUN
cana-3438	152	8	computing	computing	NOUN
cana-3438	152	9	resources	resource	NOUN
cana-3438	152	10	restricts	restrict	VERB
cana-3438	152	11	access	access	NOUN
cana-3438	152	12	to	to	ADP
cana-3438	152	13	these	these	DET
cana-3438	152	14	technologies	technology	NOUN
cana-3438	152	15	in	in	ADP
cana-3438	152	16	resource	resource	NOUN
cana-3438	152	17	-	-	PUNCT
cana-3438	152	18	limited	limit	VERB
cana-3438	152	19	healthcare	healthcare	NOUN
cana-3438	152	20	environments	environment	NOUN
cana-3438	152	21	which	which	PRON
cana-3438	152	22	should	should	AUX
cana-3438	152	23	be	be	AUX
cana-3438	152	24	an	an	DET
cana-3438	152	25	essential	essential	ADJ
cana-3438	152	26	goal	goal	NOUN
cana-3438	152	27	for	for	ADP
cana-3438	152	28	the	the	DET
cana-3438	152	29	advancement	advancement	NOUN
cana-3438	152	30	of	of	ADP
cana-3438	152	31	information	information	NOUN
cana-3438	152	32	technology	technology	NOUN
cana-3438	152	33	-	-	PUNCT
cana-3438	152	34	driven	drive	VERB
cana-3438	152	35	healthcare	healthcare	NOUN
cana-3438	153	1	[	[	X
cana-3438	153	2	24,29	24,29	NUM
cana-3438	153	3	]	]	PUNCT
cana-3438	153	4	.	.	PUNCT
cana-3438	154	1	6.3	6.3	NUM
cana-3438	154	2	final	final	ADJ
cana-3438	154	3	remarks	remark	NOUN
cana-3438	154	4	on	on	ADP
cana-3438	154	5	the	the	DET
cana-3438	154	6	future	future	NOUN
cana-3438	154	7	of	of	ADP
cana-3438	154	8	it	it	PRON
cana-3438	154	9	integration	integration	NOUN
cana-3438	154	10	in	in	ADP
cana-3438	154	11	radiological	radiological	ADJ
cana-3438	154	12	practice	practice	NOUN
cana-3438	154	13	the	the	DET
cana-3438	154	14	future	future	NOUN
cana-3438	154	15	of	of	ADP
cana-3438	154	16	it	it	PRON
cana-3438	154	17	integration	integration	NOUN
cana-3438	154	18	in	in	ADP
cana-3438	154	19	radiology	radiology	NOUN
cana-3438	154	20	holds	hold	VERB
cana-3438	154	21	immense	immense	ADJ
cana-3438	154	22	promise	promise	NOUN
cana-3438	154	23	but	but	CCONJ
cana-3438	154	24	requires	require	VERB
cana-3438	154	25	careful	careful	ADJ
cana-3438	154	26	planning	planning	NOUN
cana-3438	154	27	and	and	CCONJ
cana-3438	154	28	adherence	adherence	NOUN
cana-3438	154	29	to	to	ADP
cana-3438	154	30	ethical	ethical	ADJ
cana-3438	154	31	standards	standard	NOUN
cana-3438	154	32	.	.	PUNCT
cana-3438	155	1	as	as	SCONJ
cana-3438	155	2	technologies	technology	NOUN
cana-3438	155	3	like	like	ADP
cana-3438	155	4	quantum	quantum	NOUN
cana-3438	155	5	computing	computing	NOUN
cana-3438	155	6	and	and	CCONJ
cana-3438	155	7	edge	edge	NOUN
cana-3438	155	8	computing	compute	VERB
cana-3438	155	9	advance	advance	NOUN
cana-3438	155	10	,	,	PUNCT
cana-3438	155	11	real	real	ADJ
cana-3438	155	12	-	-	PUNCT
cana-3438	155	13	time	time	NOUN
cana-3438	155	14	,	,	PUNCT
cana-3438	155	15	large	large	ADJ
cana-3438	155	16	-	-	PUNCT
cana-3438	155	17	scale	scale	NOUN
cana-3438	155	18	analysis	analysis	NOUN
cana-3438	155	19	of	of	ADP
cana-3438	155	20	complex	complex	ADJ
cana-3438	155	21	medical	medical	ADJ
cana-3438	155	22	images	image	NOUN
cana-3438	155	23	may	may	AUX
cana-3438	155	24	become	become	VERB
cana-3438	155	25	feasible	feasible	ADJ
cana-3438	155	26	,	,	PUNCT
cana-3438	155	27	further	far	ADV
cana-3438	155	28	accelerating	accelerate	VERB
cana-3438	155	29	diagnostic	diagnostic	ADJ
cana-3438	155	30	processes	process	NOUN
cana-3438	155	31	and	and	CCONJ
cana-3438	155	32	supporting	support	VERB
cana-3438	155	33	precision	precision	NOUN
cana-3438	155	34	medicine	medicine	NOUN
cana-3438	155	35	[	[	X
cana-3438	155	36	25	25	NUM
cana-3438	155	37	]	]	PUNCT
cana-3438	155	38	.	.	PUNCT
cana-3438	156	1	to	to	PART
cana-3438	156	2	maximize	maximize	VERB
cana-3438	156	3	the	the	DET
cana-3438	156	4	positive	positive	ADJ
cana-3438	156	5	impact	impact	NOUN
cana-3438	156	6	of	of	ADP
cana-3438	156	7	these	these	DET
cana-3438	156	8	tools	tool	NOUN
cana-3438	156	9	,	,	PUNCT
cana-3438	156	10	it	it	PRON
cana-3438	156	11	will	will	AUX
cana-3438	156	12	be	be	AUX
cana-3438	156	13	essential	essential	ADJ
cana-3438	156	14	to	to	PART
cana-3438	156	15	address	address	VERB
cana-3438	156	16	current	current	ADJ
cana-3438	156	17	limitations	limitation	NOUN
cana-3438	156	18	,	,	PUNCT
cana-3438	156	19	such	such	ADJ
cana-3438	156	20	as	as	ADP
cana-3438	156	21	ensuring	ensure	VERB
cana-3438	156	22	model	model	NOUN
cana-3438	156	23	fairness	fairness	NOUN
cana-3438	156	24	and	and	CCONJ
cana-3438	156	25	enhancing	enhance	VERB
cana-3438	156	26	interpretability	interpretability	NOUN
cana-3438	156	27	for	for	ADP
cana-3438	156	28	radiologists	radiologist	NOUN
cana-3438	156	29	[	[	X
cana-3438	156	30	22	22	NUM
cana-3438	156	31	]	]	PUNCT
cana-3438	156	32	.	.	PUNCT
cana-3438	157	1	while	while	SCONJ
cana-3438	157	2	deep	deep	ADJ
cana-3438	157	3	learning	learning	NOUN
cana-3438	157	4	offers	offer	VERB
cana-3438	157	5	powerful	powerful	ADJ
cana-3438	157	6	diagnostic	diagnostic	ADJ
cana-3438	157	7	support	support	NOUN
cana-3438	157	8	,	,	PUNCT
cana-3438	157	9	it	it	PRON
cana-3438	157	10	should	should	AUX
cana-3438	157	11	complement	complement	VERB
cana-3438	157	12	rather	rather	ADV
cana-3438	157	13	than	than	ADP
cana-3438	157	14	replace	replace	VERB
cana-3438	157	15	clinical	clinical	ADJ
cana-3438	157	16	judgment	judgment	NOUN
cana-3438	157	17	,	,	PUNCT
cana-3438	157	18	serving	serve	VERB
cana-3438	157	19	as	as	ADP
cana-3438	157	20	an	an	DET
cana-3438	157	21	auxiliary	auxiliary	ADJ
cana-3438	157	22	tool	tool	NOUN
cana-3438	157	23	that	that	PRON
cana-3438	157	24	radiologists	radiologist	NOUN
cana-3438	157	25	can	can	AUX
cana-3438	157	26	rely	rely	VERB
cana-3438	157	27	upon	upon	SCONJ
cana-3438	157	28	in	in	ADP
cana-3438	157	29	making	make	VERB
cana-3438	157	30	informed	informed	ADJ
cana-3438	157	31	decisions	decision	NOUN
cana-3438	157	32	.	.	PUNCT
cana-3438	158	1	in	in	ADP
cana-3438	158	2	balancing	balance	VERB
cana-3438	158	3	the	the	DET
cana-3438	158	4	promising	promising	ADJ
cana-3438	158	5	potential	potential	ADJ
cana-3438	158	6	and	and	CCONJ
cana-3438	158	7	current	current	ADJ
cana-3438	158	8	limitations	limitation	NOUN
cana-3438	158	9	,	,	PUNCT
cana-3438	158	10	the	the	DET
cana-3438	158	11	findings	finding	NOUN
cana-3438	158	12	underscore	underscore	VERB
cana-3438	158	13	the	the	DET
cana-3438	158	14	need	need	NOUN
cana-3438	158	15	for	for	ADP
cana-3438	158	16	ongoing	ongoing	ADJ
cana-3438	158	17	research	research	NOUN
cana-3438	158	18	in	in	ADP
cana-3438	158	19	developing	develop	VERB
cana-3438	158	20	robust	robust	ADJ
cana-3438	158	21	,	,	PUNCT
cana-3438	158	22	scalable	scalable	ADJ
cana-3438	158	23	,	,	PUNCT
cana-3438	158	24	and	and	CCONJ
cana-3438	158	25	ethically	ethically	ADV
cana-3438	158	26	sound	sound	VERB
cana-3438	158	27	ai	ai	ADJ
cana-3438	158	28	tools	tool	NOUN
cana-3438	158	29	in	in	ADP
cana-3438	158	30	medical	medical	ADJ
cana-3438	158	31	imaging	imaging	NOUN
cana-3438	158	32	.	.	PUNCT
cana-3438	159	1	future	future	ADJ
cana-3438	159	2	studies	study	NOUN
cana-3438	159	3	should	should	AUX
cana-3438	159	4	explore	explore	VERB
cana-3438	159	5	improved	improved	ADJ
cana-3438	159	6	data	data	NOUN
cana-3438	159	7	standardization	standardization	NOUN
cana-3438	159	8	,	,	PUNCT
cana-3438	159	9	interoperability	interoperability	NOUN
cana-3438	159	10	,	,	PUNCT
cana-3438	159	11	and	and	CCONJ
cana-3438	159	12	real	real	ADJ
cana-3438	159	13	-	-	PUNCT
cana-3438	159	14	time	time	NOUN
cana-3438	159	15	capabilities	capability	NOUN
cana-3438	159	16	to	to	ADP
cana-3438	159	17	fully	fully	ADV
cana-3438	159	18	harness	harness	VERB
cana-3438	159	19	the	the	DET
cana-3438	159	20	potential	potential	NOUN
cana-3438	159	21	of	of	ADP
cana-3438	159	22	deep	deep	ADJ
cana-3438	159	23	learning	learning	NOUN
cana-3438	159	24	in	in	ADP
cana-3438	159	25	enhancing	enhance	VERB
cana-3438	159	26	radiological	radiological	ADJ
cana-3438	159	27	practice	practice	NOUN
cana-3438	159	28	and	and	CCONJ
cana-3438	159	29	,	,	PUNCT
cana-3438	159	30	ultimately	ultimately	ADV
cana-3438	159	31	,	,	PUNCT
cana-3438	159	32	patient	patient	ADJ
cana-3438	159	33	care	care	NOUN
cana-3438	159	34	.	.	PUNCT
cana-3438	160	1	communications	communication	NOUN
cana-3438	160	2	on	on	ADP
cana-3438	160	3	applied	apply	VERB
cana-3438	160	4	nonlinear	nonlinear	ADJ
cana-3438	160	5	analysis	analysis	NOUN
cana-3438	160	6	issn	issn	NOUN
cana-3438	160	7	:	:	PUNCT
cana-3438	160	8	1074	1074	NUM
cana-3438	160	9	-	-	PUNCT
cana-3438	160	10	133x	133x	NUM
cana-3438	160	11	vol	vol	NOUN
cana-3438	160	12	32	32	NUM
cana-3438	160	13	no	no	NOUN
cana-3438	160	14	.	.	PUNCT
cana-3438	161	1	7s	7	NOUN
cana-3438	161	2	(	(	PUNCT
cana-3438	161	3	2025	2025	NUM
cana-3438	161	4	)	)	PUNCT
cana-3438	161	5	390	390	NUM
cana-3438	161	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	161	7	references	reference	NOUN
cana-3438	161	8	[	[	X
cana-3438	161	9	1	1	NUM
cana-3438	161	10	]	]	PUNCT
cana-3438	161	11	t.	t.	PROPN
cana-3438	161	12	mahmood	mahmood	PROPN
cana-3438	161	13	,	,	PUNCT
cana-3438	161	14	a.	a.	PROPN
cana-3438	161	15	rehman	rehman	PROPN
cana-3438	161	16	,	,	PUNCT
cana-3438	161	17	t.	t.	PROPN
cana-3438	161	18	saba	saba	PROPN
cana-3438	161	19	,	,	PUNCT
cana-3438	161	20	l.	l.	PROPN
cana-3438	161	21	nadeem	nadeem	PROPN
cana-3438	161	22	and	and	CCONJ
cana-3438	161	23	s.	s.	PROPN
cana-3438	161	24	a.	a.	PROPN
cana-3438	161	25	o.	o.	PROPN
cana-3438	161	26	bahaj	bahaj	PROPN
cana-3438	161	27	,	,	PUNCT
cana-3438	161	28	(	(	PUNCT
cana-3438	161	29	2023	2023	NUM
cana-3438	161	30	)	)	PUNCT
cana-3438	161	31	,	,	PUNCT
cana-3438	161	32	"	"	PUNCT
cana-3438	161	33	recent	recent	ADJ
cana-3438	161	34	advancements	advancement	NOUN
cana-3438	161	35	and	and	CCONJ
cana-3438	161	36	future	future	ADJ
cana-3438	161	37	prospects	prospect	NOUN
cana-3438	161	38	in	in	ADP
cana-3438	161	39	active	active	ADJ
cana-3438	161	40	deep	deep	ADJ
cana-3438	161	41	learning	learning	NOUN
cana-3438	161	42	for	for	ADP
cana-3438	161	43	medical	medical	ADJ
cana-3438	161	44	image	image	NOUN
cana-3438	161	45	segmentation	segmentation	NOUN
cana-3438	161	46	and	and	CCONJ
cana-3438	161	47	classification	classification	NOUN
cana-3438	161	48	,	,	PUNCT
cana-3438	161	49	"	"	PUNCT
cana-3438	161	50	in	in	ADP
cana-3438	161	51	ieee	ieee	NOUN
cana-3438	161	52	access	access	NOUN
cana-3438	161	53	,	,	PUNCT
cana-3438	161	54	vol	vol	NOUN
cana-3438	161	55	.	.	PROPN
cana-3438	161	56	11	11	NUM
cana-3438	161	57	,	,	PUNCT
cana-3438	161	58	pp	pp	ADJ
cana-3438	161	59	.	.	PUNCT
cana-3438	162	1	113623	113623	NUM
cana-3438	162	2	-	-	SYM
cana-3438	162	3	113652	113652	NUM
cana-3438	162	4	.	.	PUNCT
cana-3438	163	1	[	[	X
cana-3438	163	2	2	2	NUM
cana-3438	163	3	]	]	X
cana-3438	163	4	rahman	rahman	PROPN
cana-3438	163	5	,	,	PUNCT
cana-3438	163	6	t.	t.	PROPN
cana-3438	163	7	,	,	PUNCT
cana-3438	163	8	chowdhury	chowdhury	PROPN
cana-3438	163	9	,	,	PUNCT
cana-3438	163	10	m.	m.	PROPN
cana-3438	163	11	e.	e.	PROPN
cana-3438	163	12	h.	h.	PROPN
cana-3438	163	13	,	,	PUNCT
cana-3438	163	14	khandakar	khandakar	PROPN
cana-3438	163	15	,	,	PUNCT
cana-3438	163	16	a.	a.	PROPN
cana-3438	163	17	,	,	PUNCT
cana-3438	163	18	islam	islam	PROPN
cana-3438	163	19	,	,	PUNCT
cana-3438	163	20	k.	k.	PROPN
cana-3438	163	21	r.	r.	PROPN
cana-3438	163	22	,	,	PUNCT
cana-3438	163	23	islam	islam	PROPN
cana-3438	163	24	,	,	PUNCT
cana-3438	163	25	k.	k.	PROPN
cana-3438	163	26	f.	f.	PROPN
cana-3438	163	27	,	,	PUNCT
cana-3438	163	28	mahbub	mahbub	PROPN
cana-3438	163	29	,	,	PUNCT
cana-3438	163	30	z.	z.	PROPN
cana-3438	163	31	b.	b.	PROPN
cana-3438	163	32	,	,	PUNCT
cana-3438	163	33	kadir	kadir	PROPN
cana-3438	163	34	,	,	PUNCT
cana-3438	163	35	m.	m.	NOUN
cana-3438	163	36	a.	a.	PROPN
cana-3438	163	37	,	,	PUNCT
cana-3438	163	38	&	&	CCONJ
cana-3438	163	39	kashem	kashem	PROPN
cana-3438	163	40	,	,	PUNCT
cana-3438	163	41	s.	s.	PROPN
cana-3438	163	42	(	(	PUNCT
cana-3438	163	43	2020	2020	NUM
cana-3438	163	44	)	)	PUNCT
cana-3438	163	45	.	.	PUNCT
cana-3438	164	1	transfer	transfer	NOUN
cana-3438	164	2	learning	learn	VERB
cana-3438	164	3	with	with	ADP
cana-3438	164	4	deep	deep	ADJ
cana-3438	164	5	convolutional	convolutional	ADJ
cana-3438	164	6	neural	neural	ADJ
cana-3438	164	7	network	network	NOUN
cana-3438	164	8	(	(	PUNCT
cana-3438	164	9	cnn	cnn	PROPN
cana-3438	164	10	)	)	PUNCT
cana-3438	164	11	for	for	ADP
cana-3438	164	12	pneumonia	pneumonia	NOUN
cana-3438	164	13	detection	detection	NOUN
cana-3438	164	14	using	use	VERB
cana-3438	164	15	chest	chest	NOUN
cana-3438	164	16	x	x	NOUN
cana-3438	164	17	-	-	NOUN
cana-3438	164	18	ray	ray	NOUN
cana-3438	164	19	.	.	PUNCT
cana-3438	165	1	applied	apply	VERB
cana-3438	165	2	sciences	science	NOUN
cana-3438	165	3	,	,	PUNCT
cana-3438	165	4	10(9	10(9	NUM
cana-3438	165	5	)	)	PUNCT
cana-3438	165	6	,	,	PUNCT
cana-3438	165	7	3233	3233	NUM
cana-3438	165	8	.	.	PUNCT
cana-3438	166	1	[	[	X
cana-3438	166	2	3	3	NUM
cana-3438	166	3	]	]	X
cana-3438	166	4	takahashi	takahashi	PROPN
cana-3438	166	5	,	,	PUNCT
cana-3438	166	6	s.	s.	PROPN
cana-3438	166	7	,	,	PUNCT
cana-3438	166	8	sakaguchi	sakaguchi	ADV
cana-3438	166	9	,	,	PUNCT
cana-3438	166	10	y.	y.	PROPN
cana-3438	166	11	,	,	PUNCT
cana-3438	166	12	kouno	kouno	PROPN
cana-3438	166	13	,	,	PUNCT
cana-3438	166	14	n.	n.	PROPN
cana-3438	166	15	,	,	PUNCT
cana-3438	166	16	takasawa	takasawa	PROPN
cana-3438	166	17	,	,	PUNCT
cana-3438	166	18	k.	k.	PROPN
cana-3438	166	19	,	,	PUNCT
cana-3438	166	20	ishizu	ishizu	PROPN
cana-3438	166	21	,	,	PUNCT
cana-3438	166	22	k.	k.	PROPN
cana-3438	166	23	,	,	PUNCT
cana-3438	166	24	akagi	akagi	PROPN
cana-3438	166	25	,	,	PUNCT
cana-3438	166	26	y.	y.	PROPN
cana-3438	166	27	,	,	PUNCT
cana-3438	166	28	...	...	PUNCT
cana-3438	166	29	&	&	CCONJ
cana-3438	166	30	hamamoto	hamamoto	PROPN
cana-3438	166	31	,	,	PUNCT
cana-3438	166	32	r.	r.	PROPN
cana-3438	166	33	(	(	PUNCT
cana-3438	166	34	)	)	PUNCT
cana-3438	166	35	.	.	PUNCT
cana-3438	167	1	comparison	comparison	NOUN
cana-3438	167	2	of	of	ADP
cana-3438	167	3	vision	vision	NOUN
cana-3438	167	4	transformers	transformer	NOUN
cana-3438	167	5	and	and	CCONJ
cana-3438	167	6	convolutional	convolutional	ADJ
cana-3438	167	7	neural	neural	ADJ
cana-3438	167	8	networks	network	NOUN
cana-3438	167	9	in	in	ADP
cana-3438	167	10	medical	medical	ADJ
cana-3438	167	11	image	image	NOUN
cana-3438	167	12	analysis	analysis	NOUN
cana-3438	167	13	:	:	PUNCT
cana-3438	167	14	a	a	DET
cana-3438	167	15	systematic	systematic	ADJ
cana-3438	167	16	review	review	NOUN
cana-3438	167	17	.	.	PUNCT
cana-3438	168	1	journal	journal	PROPN
cana-3438	168	2	of	of	ADP
cana-3438	168	3	medical	medical	ADJ
cana-3438	168	4	systems	system	NOUN
cana-3438	168	5	,	,	PUNCT
cana-3438	168	6	48(1	48(1	NOUN
cana-3438	168	7	)	)	PUNCT
cana-3438	168	8	,	,	PUNCT
cana-3438	168	9	84	84	NUM
cana-3438	168	10	.	.	PUNCT
cana-3438	169	1	[	[	X
cana-3438	169	2	4	4	NUM
cana-3438	169	3	]	]	X
cana-3438	169	4	aoun	aoun	PROPN
cana-3438	169	5	,	,	PUNCT
cana-3438	169	6	m.	m.	NOUN
cana-3438	169	7	,	,	PUNCT
cana-3438	169	8	&	&	CCONJ
cana-3438	169	9	sandhu	sandhu	PROPN
cana-3438	169	10	,	,	PUNCT
cana-3438	169	11	a.	a.	PROPN
cana-3438	169	12	k.	k.	PROPN
cana-3438	169	13	(	(	PUNCT
cana-3438	169	14	2019	2019	NUM
cana-3438	169	15	)	)	PUNCT
cana-3438	169	16	.	.	PUNCT
cana-3438	170	1	understanding	understand	VERB
cana-3438	170	2	the	the	DET
cana-3438	170	3	impact	impact	NOUN
cana-3438	170	4	of	of	ADP
cana-3438	170	5	ai	ai	ADJ
cana-3438	170	6	-	-	PUNCT
cana-3438	170	7	driven	drive	VERB
cana-3438	170	8	automation	automation	NOUN
cana-3438	170	9	on	on	ADP
cana-3438	170	10	the	the	DET
cana-3438	170	11	workflow	workflow	NOUN
cana-3438	170	12	of	of	ADP
cana-3438	170	13	radiologists	radiologist	NOUN
cana-3438	170	14	in	in	ADP
cana-3438	170	15	emergency	emergency	NOUN
cana-3438	170	16	care	care	NOUN
cana-3438	170	17	settings	setting	NOUN
cana-3438	170	18	.	.	PUNCT
cana-3438	171	1	journal	journal	NOUN
cana-3438	171	2	of	of	ADP
cana-3438	171	3	intelligent	intelligent	ADJ
cana-3438	171	4	connectivity	connectivity	NOUN
cana-3438	171	5	and	and	CCONJ
cana-3438	171	6	emerging	emerge	VERB
cana-3438	171	7	technologies	technology	NOUN
cana-3438	171	8	,	,	PUNCT
cana-3438	171	9	4(6	4(6	NUM
cana-3438	171	10	)	)	PUNCT
cana-3438	171	11	,	,	PUNCT
cana-3438	171	12	1	1	NUM
cana-3438	171	13	-	-	SYM
cana-3438	171	14	15	15	NUM
cana-3438	171	15	.	.	PUNCT
cana-3438	172	1	[	[	X
cana-3438	172	2	5	5	NUM
cana-3438	172	3	]	]	SYM
cana-3438	172	4	pillai	pillai	PROPN
cana-3438	172	5	,	,	PUNCT
cana-3438	172	6	a.	a.	PROPN
cana-3438	172	7	s.	s.	PROPN
cana-3438	172	8	(	(	PUNCT
cana-3438	172	9	2021	2021	NUM
cana-3438	172	10	)	)	PUNCT
cana-3438	172	11	.	.	PUNCT
cana-3438	173	1	utilizing	utilize	VERB
cana-3438	173	2	deep	deep	ADJ
cana-3438	173	3	learning	learning	NOUN
cana-3438	173	4	in	in	ADP
cana-3438	173	5	medical	medical	ADJ
cana-3438	173	6	image	image	NOUN
cana-3438	173	7	analysis	analysis	NOUN
cana-3438	173	8	for	for	ADP
cana-3438	173	9	enhanced	enhanced	ADJ
cana-3438	173	10	diagnostic	diagnostic	ADJ
cana-3438	173	11	accuracy	accuracy	NOUN
cana-3438	173	12	and	and	CCONJ
cana-3438	173	13	patient	patient	ADJ
cana-3438	173	14	care	care	NOUN
cana-3438	173	15	:	:	PUNCT
cana-3438	173	16	challenges	challenge	NOUN
cana-3438	173	17	,	,	PUNCT
cana-3438	173	18	opportunities	opportunity	NOUN
cana-3438	173	19	,	,	PUNCT
cana-3438	173	20	and	and	CCONJ
cana-3438	173	21	ethical	ethical	ADJ
cana-3438	173	22	implications	implication	NOUN
cana-3438	173	23	.	.	PUNCT
cana-3438	174	1	journal	journal	NOUN
cana-3438	174	2	of	of	ADP
cana-3438	174	3	deep	deep	ADJ
cana-3438	174	4	learning	learning	NOUN
cana-3438	174	5	in	in	ADP
cana-3438	174	6	genomic	genomic	ADJ
cana-3438	174	7	data	datum	NOUN
cana-3438	174	8	analysis	analysis	NOUN
cana-3438	174	9	,	,	PUNCT
cana-3438	174	10	1(1	1(1	NUM
cana-3438	174	11	)	)	PUNCT
cana-3438	174	12	,	,	PUNCT
cana-3438	174	13	1	1	NUM
cana-3438	174	14	-	-	SYM
cana-3438	174	15	17	17	NUM
cana-3438	174	16	.	.	PUNCT
cana-3438	175	1	[	[	X
cana-3438	175	2	6	6	NUM
cana-3438	175	3	]	]	X
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cana-3438	175	5	,	,	PUNCT
cana-3438	175	6	s.	s.	PROPN
cana-3438	175	7	,	,	PUNCT
cana-3438	175	8	nair	nair	PROPN
cana-3438	175	9	,	,	PUNCT
cana-3438	175	10	s.	s.	PROPN
cana-3438	175	11	,	,	PUNCT
cana-3438	175	12	pawar	pawar	PROPN
cana-3438	175	13	,	,	PUNCT
cana-3438	175	14	v.	v.	PROPN
cana-3438	175	15	,	,	PUNCT
cana-3438	175	16	vhatkar	vhatkar	NOUN
cana-3438	175	17	,	,	PUNCT
cana-3438	175	18	a.	a.	PROPN
cana-3438	175	19	,	,	PUNCT
cana-3438	175	20	&	&	CCONJ
cana-3438	175	21	chavan	chavan	PROPN
cana-3438	175	22	,	,	PUNCT
cana-3438	175	23	p.	p.	NOUN
cana-3438	175	24	(	(	PUNCT
cana-3438	175	25	2024	2024	NUM
cana-3438	175	26	,	,	PUNCT
cana-3438	175	27	august	august	PROPN
cana-3438	175	28	)	)	PUNCT
cana-3438	175	29	.	.	PUNCT
cana-3438	176	1	patient	patient	ADJ
cana-3438	176	2	privacy	privacy	NOUN
cana-3438	176	3	and	and	CCONJ
cana-3438	176	4	data	datum	NOUN
cana-3438	176	5	security	security	NOUN
cana-3438	176	6	in	in	ADP
cana-3438	176	7	the	the	DET
cana-3438	176	8	era	era	NOUN
cana-3438	176	9	of	of	ADP
cana-3438	176	10	ai	ai	NOUN
cana-3438	176	11	-	-	PUNCT
cana-3438	176	12	driven	drive	VERB
cana-3438	176	13	healthcare	healthcare	NOUN
cana-3438	176	14	.	.	PUNCT
cana-3438	177	1	in	in	ADP
cana-3438	177	2	2024	2024	NUM
cana-3438	177	3	8th	8th	ADJ
cana-3438	177	4	international	international	ADJ
cana-3438	177	5	conference	conference	NOUN
cana-3438	177	6	on	on	ADP
cana-3438	177	7	computing	computing	NOUN
cana-3438	177	8	,	,	PUNCT
cana-3438	177	9	communication	communication	NOUN
cana-3438	177	10	,	,	PUNCT
cana-3438	177	11	control	control	NOUN
cana-3438	177	12	and	and	CCONJ
cana-3438	177	13	automation	automation	NOUN
cana-3438	177	14	(	(	PUNCT
cana-3438	177	15	iccubea	iccubea	NOUN
cana-3438	177	16	)	)	PUNCT
cana-3438	177	17	(	(	PUNCT
cana-3438	177	18	pp	pp	X
cana-3438	177	19	.	.	PUNCT
cana-3438	178	1	1	1	NUM
cana-3438	178	2	-	-	SYM
cana-3438	178	3	6	6	NUM
cana-3438	178	4	)	)	PUNCT
cana-3438	178	5	.	.	PUNCT
cana-3438	179	1	ieee	ieee	NOUN
cana-3438	179	2	.	.	PUNCT
cana-3438	180	1	[	[	X
cana-3438	180	2	7	7	X
cana-3438	180	3	]	]	X
cana-3438	180	4	liu	liu	PROPN
cana-3438	180	5	,	,	PUNCT
cana-3438	180	6	x.	x.	PROPN
cana-3438	180	7	,	,	PUNCT
cana-3438	180	8	gao	gao	PROPN
cana-3438	180	9	,	,	PUNCT
cana-3438	180	10	k.	k.	PROPN
cana-3438	180	11	,	,	PUNCT
cana-3438	180	12	liu	liu	PROPN
cana-3438	180	13	,	,	PUNCT
cana-3438	180	14	b.	b.	PROPN
cana-3438	180	15	,	,	PUNCT
cana-3438	180	16	pan	pan	PROPN
cana-3438	180	17	,	,	PUNCT
cana-3438	180	18	c.	c.	PROPN
cana-3438	180	19	,	,	PUNCT
cana-3438	180	20	liang	liang	PROPN
cana-3438	180	21	,	,	PUNCT
cana-3438	180	22	k.	k.	PROPN
cana-3438	180	23	,	,	PUNCT
cana-3438	180	24	yan	yan	PROPN
cana-3438	180	25	,	,	PUNCT
cana-3438	180	26	l.	l.	PROPN
cana-3438	180	27	,	,	PUNCT
cana-3438	180	28	...	...	PUNCT
cana-3438	180	29	&	&	CCONJ
cana-3438	180	30	yu	yu	PROPN
cana-3438	180	31	,	,	PUNCT
cana-3438	180	32	y.	y.	PROPN
cana-3438	180	33	(	(	PUNCT
cana-3438	180	34	2021	2021	NUM
cana-3438	180	35	)	)	PUNCT
cana-3438	180	36	.	.	PUNCT
cana-3438	181	1	advances	advance	NOUN
cana-3438	181	2	in	in	ADP
cana-3438	181	3	deep	deep	ADJ
cana-3438	181	4	learning	learning	NOUN
cana-3438	181	5	-	-	PUNCT
cana-3438	181	6	based	base	VERB
cana-3438	181	7	medical	medical	ADJ
cana-3438	181	8	image	image	NOUN
cana-3438	181	9	analysis	analysis	NOUN
cana-3438	181	10	.	.	PUNCT
cana-3438	182	1	health	health	NOUN
cana-3438	182	2	data	data	PROPN
cana-3438	182	3	science	science	NOUN
cana-3438	182	4	,	,	PUNCT
cana-3438	182	5	2021	2021	NUM
cana-3438	182	6	.	.	PUNCT
cana-3438	183	1	[	[	X
cana-3438	183	2	8	8	NUM
cana-3438	183	3	]	]	X
cana-3438	183	4	guan	guan	PROPN
cana-3438	183	5	,	,	PUNCT
cana-3438	183	6	h.	h.	PROPN
cana-3438	183	7	,	,	PUNCT
cana-3438	183	8	yap	yap	PROPN
cana-3438	183	9	,	,	PUNCT
cana-3438	183	10	p.	p.	PROPN
cana-3438	183	11	t.	t.	PROPN
cana-3438	183	12	,	,	PUNCT
cana-3438	183	13	bozoki	bozoki	PROPN
cana-3438	183	14	,	,	PUNCT
cana-3438	183	15	a.	a.	PROPN
cana-3438	183	16	,	,	PUNCT
cana-3438	183	17	&	&	CCONJ
cana-3438	183	18	liu	liu	PROPN
cana-3438	183	19	,	,	PUNCT
cana-3438	183	20	m.	m.	NOUN
cana-3438	183	21	(	(	PUNCT
cana-3438	183	22	2024	2024	NUM
cana-3438	183	23	)	)	PUNCT
cana-3438	183	24	.	.	PUNCT
cana-3438	183	25	federated	federated	ADJ
cana-3438	183	26	learning	learning	NOUN
cana-3438	183	27	for	for	ADP
cana-3438	183	28	medical	medical	ADJ
cana-3438	183	29	image	image	NOUN
cana-3438	183	30	analysis	analysis	NOUN
cana-3438	183	31	:	:	PUNCT
cana-3438	183	32	a	a	DET
cana-3438	183	33	survey	survey	NOUN
cana-3438	183	34	.	.	PUNCT
cana-3438	184	1	pattern	pattern	NOUN
cana-3438	184	2	recognition	recognition	NOUN
cana-3438	184	3	,	,	PUNCT
cana-3438	184	4	110424	110424	NUM
cana-3438	184	5	.	.	PUNCT
cana-3438	185	1	[	[	X
cana-3438	185	2	9	9	NUM
cana-3438	185	3	]	]	X
cana-3438	185	4	giełczyk	giełczyk	NOUN
cana-3438	185	5	,	,	PUNCT
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cana-3438	185	13	,	,	PUNCT
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cana-3438	185	16	&	&	CCONJ
cana-3438	185	17	lutowski	lutowski	PROPN
cana-3438	185	18	,	,	PUNCT
cana-3438	185	19	z.	z.	PROPN
cana-3438	185	20	(	(	PUNCT
cana-3438	185	21	2022	2022	NUM
cana-3438	185	22	)	)	PUNCT
cana-3438	185	23	.	.	PUNCT
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cana-3438	186	2	-	-	ADJ
cana-3438	186	3	processing	processing	ADJ
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cana-3438	186	5	in	in	ADP
cana-3438	186	6	chest	chest	NOUN
cana-3438	186	7	x	x	NOUN
cana-3438	186	8	-	-	NOUN
cana-3438	186	9	ray	ray	NOUN
cana-3438	186	10	image	image	NOUN
cana-3438	186	11	classification	classification	NOUN
cana-3438	186	12	.	.	PUNCT
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cana-3438	187	2	one	one	NUM
cana-3438	187	3	,	,	PUNCT
cana-3438	187	4	17(4	17(4	NUM
cana-3438	187	5	)	)	PUNCT
cana-3438	187	6	,	,	PUNCT
cana-3438	187	7	e0265949	e0265949	X
cana-3438	187	8	.	.	PUNCT
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cana-3438	188	2	10	10	NUM
cana-3438	188	3	]	]	X
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cana-3438	188	5	,	,	PUNCT
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cana-3438	188	8	gammulle	gammulle	PROPN
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cana-3438	188	11	,	,	PUNCT
cana-3438	188	12	denman	denman	PROPN
cana-3438	188	13	,	,	PUNCT
cana-3438	188	14	s.	s.	PROPN
cana-3438	188	15	,	,	PUNCT
cana-3438	188	16	sridharan	sridharan	ADJ
cana-3438	188	17	,	,	PUNCT
cana-3438	188	18	s.	s.	PROPN
cana-3438	188	19	,	,	PUNCT
cana-3438	188	20	&	&	CCONJ
cana-3438	188	21	fookes	fooke	NOUN
cana-3438	188	22	,	,	PUNCT
cana-3438	188	23	c.	c.	NOUN
cana-3438	188	24	(	(	PUNCT
cana-3438	188	25	2022	2022	NUM
cana-3438	188	26	)	)	PUNCT
cana-3438	188	27	.	.	PUNCT
cana-3438	189	1	deep	deep	ADJ
cana-3438	189	2	learning	learning	NOUN
cana-3438	189	3	for	for	ADP
cana-3438	189	4	medical	medical	ADJ
cana-3438	189	5	anomaly	anomaly	NOUN
cana-3438	189	6	detection	detection	NOUN
cana-3438	189	7	-	-	PUNCT
cana-3438	189	8	a	a	DET
cana-3438	189	9	survey	survey	NOUN
cana-3438	189	10	.	.	PUNCT
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cana-3438	190	2	comput	comput	NOUN
cana-3438	190	3	.	.	PUNCT
cana-3438	191	1	surv	surv	PROPN
cana-3438	191	2	.	.	PUNCT
cana-3438	191	3	,	,	PUNCT
cana-3438	191	4	54(7	54(7	NUM
cana-3438	191	5	)	)	PUNCT
cana-3438	191	6	,	,	PUNCT
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cana-3438	191	8	-	-	SYM
cana-3438	191	9	1	1	NUM
cana-3438	191	10	.	.	PUNCT
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cana-3438	192	3	]	]	X
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cana-3438	192	6	p.	p.	PROPN
cana-3438	192	7	s.	s.	PROPN
cana-3438	192	8	,	,	PUNCT
cana-3438	192	9	panchal	panchal	VERB
cana-3438	192	10	,	,	PUNCT
cana-3438	192	11	s.	s.	PROPN
cana-3438	192	12	d.	d.	PROPN
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cana-3438	192	14	singh	singh	PROPN
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cana-3438	192	16	s.	s.	PROPN
cana-3438	192	17	,	,	PUNCT
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cana-3438	192	19	,	,	PUNCT
cana-3438	192	20	g.	g.	PROPN
cana-3438	192	21	s.	s.	PROPN
cana-3438	192	22	,	,	PUNCT
cana-3438	192	23	&	&	CCONJ
cana-3438	192	24	gupta	gupta	PROPN
cana-3438	192	25	,	,	PUNCT
cana-3438	192	26	k.	k.	PROPN
cana-3438	192	27	(	(	PUNCT
cana-3438	192	28	2024	2024	NUM
cana-3438	192	29	)	)	PUNCT
cana-3438	192	30	.	.	PUNCT
cana-3438	193	1	a	a	DET
cana-3438	193	2	hybrid	hybrid	ADJ
cana-3438	193	3	deep	deep	ADJ
cana-3438	193	4	convolutional	convolutional	ADJ
cana-3438	193	5	neural	neural	ADJ
cana-3438	193	6	network	network	NOUN
cana-3438	193	7	model	model	NOUN
cana-3438	193	8	for	for	ADP
cana-3438	193	9	improved	improved	ADJ
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cana-3438	193	11	of	of	ADP
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cana-3438	193	13	.	.	PUNCT
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cana-3438	194	2	computing	computing	NOUN
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cana-3438	194	4	applications	application	NOUN
cana-3438	194	5	,	,	PUNCT
cana-3438	194	6	36(4	36(4	NUM
cana-3438	194	7	)	)	PUNCT
cana-3438	194	8	,	,	PUNCT
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cana-3438	194	10	-	-	SYM
cana-3438	194	11	1804	1804	NUM
cana-3438	194	12	.	.	PUNCT
cana-3438	195	1	[	[	X
cana-3438	195	2	12	12	NUM
cana-3438	195	3	]	]	PUNCT
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cana-3438	195	5	,	,	PUNCT
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cana-3438	195	7	a.	a.	PROPN
cana-3438	195	8	,	,	PUNCT
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cana-3438	195	10	,	,	PUNCT
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cana-3438	195	12	,	,	PUNCT
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cana-3438	195	14	,	,	PUNCT
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cana-3438	195	19	,	,	PUNCT
cana-3438	195	20	c.	c.	PROPN
cana-3438	195	21	,	,	PUNCT
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cana-3438	195	23	,	,	PUNCT
cana-3438	195	24	d.	d.	PROPN
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cana-3438	195	26	,	,	PUNCT
cana-3438	195	27	&	&	CCONJ
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cana-3438	195	29	,	,	PUNCT
cana-3438	195	30	m.	m.	NOUN
cana-3438	195	31	p.	p.	NOUN
cana-3438	195	32	(	(	PUNCT
cana-3438	195	33	2019	2019	NUM
cana-3438	195	34	)	)	PUNCT
cana-3438	195	35	.	.	PUNCT
cana-3438	196	1	assessment	assessment	NOUN
cana-3438	196	2	of	of	ADP
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cana-3438	196	4	neural	neural	ADJ
cana-3438	196	5	networks	network	NOUN
cana-3438	196	6	for	for	ADP
cana-3438	196	7	automated	automate	VERB
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cana-3438	196	11	radiographs	radiograph	NOUN
cana-3438	196	12	.	.	PUNCT
cana-3438	197	1	radiology	radiology	NOUN
cana-3438	197	2	,	,	PUNCT
cana-3438	197	3	290(2	290(2	NUM
cana-3438	197	4	)	)	PUNCT
cana-3438	197	5	,	,	PUNCT
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cana-3438	197	7	-	-	SYM
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cana-3438	197	9	.	.	PUNCT
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cana-3438	198	2	13	13	NUM
cana-3438	198	3	]	]	PUNCT
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cana-3438	198	5	,	,	PUNCT
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cana-3438	198	9	2022	2022	NUM
cana-3438	198	10	)	)	PUNCT
cana-3438	198	11	.	.	PUNCT
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cana-3438	199	9	detection	detection	NOUN
cana-3438	199	10	in	in	ADP
cana-3438	199	11	medical	medical	ADJ
cana-3438	199	12	imaging	imaging	NOUN
cana-3438	199	13	.	.	PUNCT
cana-3438	200	1	research	research	NOUN
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cana-3438	200	3	gate	gate	NOUN
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cana-3438	200	5	,	,	PUNCT
cana-3438	200	6	8(8	8(8	NUM
cana-3438	200	7	)	)	PUNCT
cana-3438	200	8	.	.	PUNCT
cana-3438	201	1	[	[	X
cana-3438	201	2	14	14	NUM
cana-3438	201	3	]	]	X
cana-3438	201	4	kumari	kumari	PROPN
cana-3438	201	5	,	,	PUNCT
cana-3438	201	6	r.	r.	PROPN
cana-3438	201	7	,	,	PUNCT
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cana-3438	201	10	s.	s.	PROPN
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cana-3438	201	12	&	&	CCONJ
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cana-3438	201	14	,	,	PUNCT
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cana-3438	201	16	k.	k.	PROPN
cana-3438	201	17	(	(	PUNCT
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cana-3438	201	19	)	)	PUNCT
cana-3438	201	20	.	.	PUNCT
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cana-3438	202	8	treatment	treatment	NOUN
cana-3438	202	9	.	.	PUNCT
cana-3438	203	1	in	in	ADP
cana-3438	203	2	responsible	responsible	ADJ
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cana-3438	203	6	intelligence	intelligence	NOUN
cana-3438	203	7	in	in	ADP
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cana-3438	204	2	-	-	SYM
cana-3438	204	3	53	53	NUM
cana-3438	204	4	)	)	PUNCT
cana-3438	204	5	.	.	PUNCT
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cana-3438	205	2	press	press	NOUN
cana-3438	205	3	.	.	PUNCT
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cana-3438	206	8	li	li	PROPN
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cana-3438	206	10	m.	m.	NOUN
cana-3438	206	11	,	,	PUNCT
cana-3438	206	12	yan	yan	PROPN
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cana-3438	206	14	p.	p.	PROPN
cana-3438	206	15	,	,	PUNCT
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cana-3438	206	17	,	,	PUNCT
cana-3438	206	18	g.	g.	PROPN
cana-3438	206	19	,	,	PUNCT
cana-3438	206	20	jiang	jiang	PROPN
cana-3438	206	21	,	,	PUNCT
cana-3438	206	22	y.	y.	PROPN
cana-3438	206	23	,	,	PUNCT
cana-3438	206	24	luo	luo	PROPN
cana-3438	206	25	,	,	PUNCT
cana-3438	206	26	h.	h.	PROPN
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cana-3438	206	28	&	&	CCONJ
cana-3438	206	29	yin	yin	PROPN
cana-3438	206	30	,	,	PUNCT
cana-3438	206	31	s.	s.	PROPN
cana-3438	206	32	(	(	PUNCT
cana-3438	206	33	2023	2023	NUM
cana-3438	206	34	)	)	PUNCT
cana-3438	206	35	.	.	PUNCT
cana-3438	207	1	deep	deep	ADJ
cana-3438	207	2	learning	learn	VERB
cana-3438	207	3	attention	attention	NOUN
cana-3438	207	4	mechanism	mechanism	NOUN
cana-3438	207	5	in	in	ADP
cana-3438	207	6	medical	medical	ADJ
cana-3438	207	7	image	image	NOUN
cana-3438	207	8	analysis	analysis	NOUN
cana-3438	207	9	:	:	PUNCT
cana-3438	207	10	basics	basic	NOUN
cana-3438	207	11	and	and	CCONJ
cana-3438	207	12	beyonds	beyond	NOUN
cana-3438	207	13	.	.	PUNCT
cana-3438	208	1	international	international	ADJ
cana-3438	208	2	journal	journal	PROPN
cana-3438	208	3	of	of	ADP
cana-3438	208	4	network	network	NOUN
cana-3438	208	5	dynamics	dynamic	NOUN
cana-3438	208	6	and	and	CCONJ
cana-3438	208	7	intelligence	intelligence	NOUN
cana-3438	208	8	,	,	PUNCT
cana-3438	208	9	93	93	NUM
cana-3438	208	10	-	-	SYM
cana-3438	208	11	116	116	NUM
cana-3438	208	12	.	.	PUNCT
cana-3438	209	1	[	[	X
cana-3438	209	2	16	16	NUM
cana-3438	209	3	]	]	X
cana-3438	209	4	ali	ali	PROPN
cana-3438	209	5	,	,	PUNCT
cana-3438	209	6	m.	m.	PROPN
cana-3438	209	7	,	,	PUNCT
cana-3438	209	8	ali	ali	PROPN
cana-3438	209	9	,	,	PUNCT
cana-3438	209	10	m.	m.	NOUN
cana-3438	209	11	,	,	PUNCT
cana-3438	209	12	hussain	hussain	PROPN
cana-3438	209	13	,	,	PUNCT
cana-3438	209	14	m.	m.	NOUN
cana-3438	209	15	,	,	PUNCT
cana-3438	209	16	&	&	CCONJ
cana-3438	209	17	koundal	koundal	PROPN
cana-3438	209	18	,	,	PUNCT
cana-3438	209	19	d.	d.	PROPN
cana-3438	209	20	(	(	PUNCT
cana-3438	209	21	2024	2024	NUM
cana-3438	209	22	)	)	PUNCT
cana-3438	209	23	.	.	PUNCT
cana-3438	210	1	generative	generative	ADJ
cana-3438	210	2	adversarial	adversarial	ADJ
cana-3438	210	3	networks	network	NOUN
cana-3438	210	4	(	(	PUNCT
cana-3438	210	5	gans	gan	NOUN
cana-3438	210	6	)	)	PUNCT
cana-3438	210	7	for	for	ADP
cana-3438	210	8	medical	medical	ADJ
cana-3438	210	9	image	image	NOUN
cana-3438	210	10	processing	processing	NOUN
cana-3438	210	11	:	:	PUNCT
cana-3438	210	12	recent	recent	ADJ
cana-3438	210	13	advancements	advancement	NOUN
cana-3438	210	14	.	.	PUNCT
cana-3438	211	1	archives	archive	NOUN
cana-3438	211	2	of	of	ADP
cana-3438	211	3	computational	computational	ADJ
cana-3438	211	4	methods	method	NOUN
cana-3438	211	5	in	in	ADP
cana-3438	211	6	engineering	engineering	NOUN
cana-3438	211	7	,	,	PUNCT
cana-3438	211	8	1	1	NUM
cana-3438	211	9	-	-	SYM
cana-3438	211	10	14	14	NUM
cana-3438	211	11	.	.	PUNCT
cana-3438	212	1	[	[	X
cana-3438	212	2	17	17	NUM
cana-3438	212	3	]	]	SYM
cana-3438	212	4	waisberg	waisberg	PROPN
cana-3438	212	5	,	,	PUNCT
cana-3438	212	6	e.	e.	PROPN
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cana-3438	212	9	,	,	PUNCT
cana-3438	212	10	j.	j.	PROPN
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cana-3438	212	13	,	,	PUNCT
cana-3438	212	14	s.	s.	PROPN
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cana-3438	212	16	,	,	PUNCT
cana-3438	212	17	paladugu	paladugu	NOUN
cana-3438	212	18	,	,	PUNCT
cana-3438	212	19	p.	p.	NOUN
cana-3438	212	20	,	,	PUNCT
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cana-3438	212	22	,	,	PUNCT
cana-3438	212	23	n.	n.	PROPN
cana-3438	212	24	,	,	PUNCT
cana-3438	212	25	lee	lee	PROPN
cana-3438	212	26	,	,	PUNCT
cana-3438	212	27	a.	a.	PROPN
cana-3438	212	28	g.	g.	PROPN
cana-3438	212	29	,	,	PUNCT
cana-3438	212	30	&	&	CCONJ
cana-3438	212	31	tavakkoli	tavakkoli	PROPN
cana-3438	212	32	,	,	PUNCT
cana-3438	212	33	a.	a.	NOUN
cana-3438	212	34	(	(	PUNCT
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cana-3438	212	36	)	)	PUNCT
cana-3438	212	37	.	.	PUNCT
cana-3438	213	1	transfer	transfer	NOUN
cana-3438	213	2	learning	learning	NOUN
cana-3438	213	3	as	as	ADP
cana-3438	213	4	an	an	DET
cana-3438	213	5	ai	ai	NOUN
cana-3438	213	6	-	-	PUNCT
cana-3438	213	7	based	base	VERB
cana-3438	213	8	solution	solution	NOUN
cana-3438	213	9	to	to	PART
cana-3438	213	10	address	address	VERB
cana-3438	213	11	limited	limited	ADJ
cana-3438	213	12	datasets	dataset	NOUN
cana-3438	213	13	in	in	ADP
cana-3438	213	14	space	space	NOUN
cana-3438	213	15	medicine	medicine	NOUN
cana-3438	213	16	.	.	PUNCT
cana-3438	214	1	life	life	NOUN
cana-3438	214	2	sciences	science	NOUN
cana-3438	214	3	in	in	ADP
cana-3438	214	4	space	space	NOUN
cana-3438	214	5	research	research	NOUN
cana-3438	214	6	,	,	PUNCT
cana-3438	214	7	36	36	NUM
cana-3438	214	8	,	,	PUNCT
cana-3438	214	9	36	36	NUM
cana-3438	214	10	-	-	SYM
cana-3438	214	11	38	38	NUM
cana-3438	214	12	.	.	PUNCT
cana-3438	215	1	[	[	X
cana-3438	215	2	18	18	NUM
cana-3438	215	3	]	]	PUNCT
cana-3438	215	4	niyas	niyas	NOUN
cana-3438	215	5	,	,	PUNCT
cana-3438	215	6	s.	s.	PROPN
cana-3438	215	7	,	,	PUNCT
cana-3438	215	8	pawan	pawan	PROPN
cana-3438	215	9	,	,	PUNCT
cana-3438	215	10	s.	s.	PROPN
cana-3438	215	11	j.	j.	PROPN
cana-3438	215	12	,	,	PUNCT
cana-3438	215	13	kumar	kumar	PROPN
cana-3438	215	14	,	,	PUNCT
cana-3438	215	15	m.	m.	NOUN
cana-3438	215	16	a.	a.	PROPN
cana-3438	215	17	,	,	PUNCT
cana-3438	215	18	&	&	CCONJ
cana-3438	215	19	rajan	rajan	PROPN
cana-3438	215	20	,	,	PUNCT
cana-3438	215	21	j.	j.	PROPN
cana-3438	215	22	(	(	PUNCT
cana-3438	215	23	2022	2022	NUM
cana-3438	215	24	)	)	PUNCT
cana-3438	215	25	.	.	PUNCT
cana-3438	216	1	medical	medical	ADJ
cana-3438	216	2	image	image	NOUN
cana-3438	216	3	segmentation	segmentation	NOUN
cana-3438	216	4	with	with	ADP
cana-3438	216	5	3d	3d	NUM
cana-3438	216	6	convolutional	convolutional	ADJ
cana-3438	216	7	neural	neural	ADJ
cana-3438	216	8	networks	network	NOUN
cana-3438	216	9	:	:	PUNCT
cana-3438	216	10	a	a	DET
cana-3438	216	11	survey	survey	NOUN
cana-3438	216	12	.	.	PUNCT
cana-3438	217	1	neurocomputing	neurocomputing	NOUN
cana-3438	217	2	,	,	PUNCT
cana-3438	217	3	493	493	NUM
cana-3438	217	4	,	,	PUNCT
cana-3438	217	5	397	397	NUM
cana-3438	217	6	-	-	SYM
cana-3438	217	7	413	413	NUM
cana-3438	217	8	.	.	PUNCT
cana-3438	218	1	communications	communication	NOUN
cana-3438	218	2	on	on	ADP
cana-3438	218	3	applied	apply	VERB
cana-3438	218	4	nonlinear	nonlinear	ADJ
cana-3438	218	5	analysis	analysis	NOUN
cana-3438	218	6	issn	issn	NOUN
cana-3438	218	7	:	:	PUNCT
cana-3438	218	8	1074	1074	NUM
cana-3438	218	9	-	-	PUNCT
cana-3438	218	10	133x	133x	NUM
cana-3438	218	11	vol	vol	NOUN
cana-3438	218	12	32	32	NUM
cana-3438	218	13	no	no	NOUN
cana-3438	218	14	.	.	PUNCT
cana-3438	219	1	7s	7	NOUN
cana-3438	219	2	(	(	PUNCT
cana-3438	219	3	2025	2025	NUM
cana-3438	219	4	)	)	PUNCT
cana-3438	219	5	391	391	NUM
cana-3438	219	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3438	220	1	[	[	X
cana-3438	220	2	19	19	NUM
cana-3438	220	3	]	]	X
cana-3438	220	4	pokkuluri	pokkuluri	NOUN
cana-3438	220	5	,	,	PUNCT
cana-3438	220	6	k.	k.	PROPN
cana-3438	220	7	s.	s.	PROPN
cana-3438	220	8	,	,	PUNCT
cana-3438	220	9	devi	devi	PROPN
cana-3438	220	10	,	,	PUNCT
cana-3438	220	11	n.	n.	PROPN
cana-3438	220	12	u.	u.	PROPN
cana-3438	220	13	,	,	PUNCT
cana-3438	220	14	&	&	CCONJ
cana-3438	220	15	khang	khang	PROPN
cana-3438	220	16	,	,	PUNCT
cana-3438	220	17	a.	a.	NOUN
cana-3438	220	18	quantum	quantum	PROPN
cana-3438	220	19	precision	precision	NOUN
cana-3438	220	20	in	in	ADP
cana-3438	220	21	medical	medical	ADJ
cana-3438	220	22	imaging	imaging	NOUN
cana-3438	220	23	:	:	PUNCT
cana-3438	220	24	deep	deep	ADJ
cana-3438	220	25	learning	learning	NOUN
cana-3438	220	26	for	for	ADP
cana-3438	220	27	image	image	NOUN
cana-3438	220	28	segmentation	segmentation	NOUN
cana-3438	220	29	.	.	PUNCT
cana-3438	221	1	in	in	ADP
cana-3438	221	2	the	the	DET
cana-3438	221	3	quantum	quantum	ADJ
cana-3438	221	4	evolution	evolution	NOUN
cana-3438	221	5	(	(	PUNCT
cana-3438	221	6	pp	pp	ADJ
cana-3438	221	7	.	.	PUNCT
cana-3438	221	8	276	276	NUM
cana-3438	221	9	-	-	SYM
cana-3438	221	10	291	291	NUM
cana-3438	221	11	)	)	PUNCT
cana-3438	221	12	.	.	PUNCT
cana-3438	222	1	crc	crc	PROPN
cana-3438	222	2	press	press	PROPN
cana-3438	222	3	.	.	PUNCT
cana-3438	223	1	[	[	X
cana-3438	223	2	20	20	NUM
cana-3438	223	3	]	]	SYM
cana-3438	223	4	li	li	PROPN
cana-3438	223	5	,	,	PUNCT
cana-3438	223	6	m.	m.	NOUN
cana-3438	223	7	,	,	PUNCT
cana-3438	223	8	jiang	jiang	PROPN
cana-3438	223	9	,	,	PUNCT
cana-3438	223	10	y.	y.	PROPN
cana-3438	223	11	,	,	PUNCT
cana-3438	223	12	zhang	zhang	PROPN
cana-3438	223	13	,	,	PUNCT
cana-3438	223	14	y.	y.	PROPN
cana-3438	223	15	,	,	PUNCT
cana-3438	223	16	&	&	CCONJ
cana-3438	223	17	zhu	zhu	PROPN
cana-3438	223	18	,	,	PUNCT
cana-3438	223	19	h.	h.	PROPN
cana-3438	223	20	(	(	PUNCT
cana-3438	223	21	2023	2023	NUM
cana-3438	223	22	)	)	PUNCT
cana-3438	223	23	.	.	PUNCT
cana-3438	224	1	medical	medical	ADJ
cana-3438	224	2	image	image	NOUN
cana-3438	224	3	analysis	analysis	NOUN
cana-3438	224	4	using	use	VERB
cana-3438	224	5	deep	deep	ADJ
cana-3438	224	6	learning	learning	NOUN
cana-3438	224	7	algorithms	algorithm	NOUN
cana-3438	224	8	.	.	PUNCT
cana-3438	225	1	frontiers	frontier	NOUN
cana-3438	225	2	in	in	ADP
cana-3438	225	3	public	public	ADJ
cana-3438	225	4	health	health	NOUN
cana-3438	225	5	,	,	PUNCT
cana-3438	225	6	11	11	NUM
cana-3438	225	7	,	,	PUNCT
cana-3438	225	8	1273253	1273253	NUM
cana-3438	225	9	.	.	PUNCT
cana-3438	226	1	[	[	X
cana-3438	226	2	21	21	NUM
cana-3438	226	3	]	]	X
cana-3438	226	4	jena	jena	PROPN
cana-3438	226	5	,	,	PUNCT
cana-3438	226	6	b.	b.	PROPN
cana-3438	226	7	,	,	PUNCT
cana-3438	226	8	saxena	saxena	PROPN
cana-3438	226	9	,	,	PUNCT
cana-3438	226	10	s.	s.	PROPN
cana-3438	226	11	,	,	PUNCT
cana-3438	226	12	nayak	nayak	PROPN
cana-3438	226	13	,	,	PUNCT
cana-3438	226	14	g.	g.	PROPN
cana-3438	226	15	k.	k.	PROPN
cana-3438	226	16	,	,	PUNCT
cana-3438	226	17	saba	saba	PROPN
cana-3438	226	18	,	,	PUNCT
cana-3438	226	19	l.	l.	PROPN
cana-3438	226	20	,	,	PUNCT
cana-3438	226	21	sharma	sharma	PROPN
cana-3438	226	22	,	,	PUNCT
cana-3438	226	23	n.	n.	NOUN
cana-3438	226	24	,	,	PUNCT
cana-3438	226	25	&	&	CCONJ
cana-3438	226	26	suri	suri	PROPN
cana-3438	226	27	,	,	PUNCT
cana-3438	226	28	j.	j.	PROPN
cana-3438	226	29	s.	s.	PROPN
cana-3438	226	30	(	(	PUNCT
cana-3438	226	31	2021	2021	NUM
cana-3438	226	32	)	)	PUNCT
cana-3438	226	33	.	.	PUNCT
cana-3438	227	1	artificial	artificial	ADJ
cana-3438	227	2	intelligence	intelligence	NOUN
cana-3438	227	3	-	-	PUNCT
cana-3438	227	4	based	base	VERB
cana-3438	227	5	hybrid	hybrid	ADJ
cana-3438	227	6	deep	deep	ADJ
cana-3438	227	7	learning	learning	NOUN
cana-3438	227	8	models	model	NOUN
cana-3438	227	9	for	for	ADP
cana-3438	227	10	image	image	NOUN
cana-3438	227	11	classification	classification	NOUN
cana-3438	227	12	:	:	PUNCT
cana-3438	227	13	the	the	DET
cana-3438	227	14	first	first	ADJ
cana-3438	227	15	narrative	narrative	NOUN
cana-3438	227	16	review	review	NOUN
cana-3438	227	17	.	.	PUNCT
cana-3438	228	1	computers	computer	NOUN
cana-3438	228	2	in	in	ADP
cana-3438	228	3	biology	biology	NOUN
cana-3438	228	4	and	and	CCONJ
cana-3438	228	5	medicine	medicine	NOUN
cana-3438	228	6	,	,	PUNCT
cana-3438	228	7	137	137	NUM
cana-3438	228	8	,	,	PUNCT
cana-3438	228	9	104803	104803	NUM
cana-3438	228	10	.	.	PUNCT
cana-3438	229	1	[	[	X
cana-3438	229	2	22	22	NUM
cana-3438	229	3	]	]	SYM
cana-3438	229	4	javed	javed	PROPN
cana-3438	229	5	,	,	PUNCT
cana-3438	229	6	r.	r.	PROPN
cana-3438	229	7	,	,	PUNCT
cana-3438	229	8	abbas	abbas	PROPN
cana-3438	229	9	,	,	PUNCT
cana-3438	229	10	t.	t.	PROPN
cana-3438	229	11	,	,	PUNCT
cana-3438	229	12	khan	khan	PROPN
cana-3438	229	13	,	,	PUNCT
cana-3438	229	14	a.	a.	PROPN
cana-3438	229	15	h.	h.	PROPN
cana-3438	229	16	,	,	PUNCT
cana-3438	229	17	daud	daud	PROPN
cana-3438	229	18	,	,	PUNCT
cana-3438	229	19	a.	a.	PROPN
cana-3438	229	20	,	,	PUNCT
cana-3438	229	21	bukhari	bukhari	PROPN
cana-3438	229	22	,	,	PUNCT
cana-3438	229	23	a.	a.	NOUN
cana-3438	229	24	,	,	PUNCT
cana-3438	229	25	&	&	CCONJ
cana-3438	229	26	alharbey	alharbey	PROPN
cana-3438	229	27	,	,	PUNCT
cana-3438	229	28	r.	r.	PROPN
cana-3438	229	29	(	(	PUNCT
cana-3438	229	30	2024	2024	NUM
cana-3438	229	31	)	)	PUNCT
cana-3438	229	32	.	.	PUNCT
cana-3438	230	1	deep	deep	ADJ
cana-3438	230	2	learning	learning	NOUN
cana-3438	230	3	for	for	ADP
cana-3438	230	4	lungs	lung	NOUN
cana-3438	230	5	cancer	cancer	NOUN
cana-3438	230	6	detection	detection	NOUN
cana-3438	230	7	:	:	PUNCT
cana-3438	230	8	a	a	DET
cana-3438	230	9	review	review	NOUN
cana-3438	230	10	.	.	PUNCT
cana-3438	231	1	artificial	artificial	ADJ
cana-3438	231	2	intelligence	intelligence	NOUN
cana-3438	231	3	review	review	NOUN
cana-3438	231	4	,	,	PUNCT
cana-3438	231	5	57(8	57(8	NUM
cana-3438	231	6	)	)	PUNCT
cana-3438	231	7	,	,	PUNCT
cana-3438	231	8	197	197	NUM
cana-3438	231	9	.	.	PUNCT
cana-3438	232	1	[	[	X
cana-3438	232	2	23	23	NUM
cana-3438	232	3	]	]	X
cana-3438	232	4	liu	liu	PROPN
cana-3438	232	5	,	,	PUNCT
cana-3438	232	6	x.	x.	PROPN
cana-3438	232	7	,	,	PUNCT
cana-3438	232	8	faes	faes	PROPN
cana-3438	232	9	,	,	PUNCT
cana-3438	232	10	l.	l.	PROPN
cana-3438	232	11	,	,	PUNCT
cana-3438	232	12	kale	kale	PROPN
cana-3438	232	13	,	,	PUNCT
cana-3438	232	14	a.	a.	PROPN
cana-3438	232	15	u.	u.	PROPN
cana-3438	232	16	,	,	PUNCT
cana-3438	232	17	wagner	wagner	PROPN
cana-3438	232	18	,	,	PUNCT
cana-3438	232	19	s.	s.	PROPN
cana-3438	232	20	k.	k.	PROPN
cana-3438	232	21	,	,	PUNCT
cana-3438	232	22	fu	fu	PROPN
cana-3438	232	23	,	,	PUNCT
cana-3438	232	24	d.	d.	PROPN
cana-3438	232	25	j.	j.	PROPN
cana-3438	232	26	,	,	PUNCT
cana-3438	232	27	bruynseels	bruynseel	NOUN
cana-3438	232	28	,	,	PUNCT
cana-3438	232	29	a.	a.	NOUN
cana-3438	232	30	,	,	PUNCT
cana-3438	232	31	...	...	PUNCT
cana-3438	232	32	&	&	CCONJ
cana-3438	232	33	denniston	denniston	PROPN
cana-3438	232	34	,	,	PUNCT
cana-3438	232	35	a.	a.	PROPN
cana-3438	232	36	k.	k.	PROPN
cana-3438	233	1	(	(	PUNCT
cana-3438	233	2	2019	2019	NUM
cana-3438	233	3	)	)	PUNCT
cana-3438	233	4	.	.	PUNCT
cana-3438	234	1	a	a	DET
cana-3438	234	2	comparison	comparison	NOUN
cana-3438	234	3	of	of	ADP
cana-3438	234	4	deep	deep	ADJ
cana-3438	234	5	learning	learning	NOUN
cana-3438	234	6	performance	performance	NOUN
cana-3438	234	7	against	against	ADP
cana-3438	234	8	health	health	NOUN
cana-3438	234	9	-	-	PUNCT
cana-3438	234	10	care	care	NOUN
cana-3438	234	11	professionals	professional	NOUN
cana-3438	234	12	in	in	ADP
cana-3438	234	13	detecting	detect	VERB
cana-3438	234	14	diseases	disease	NOUN
cana-3438	234	15	from	from	ADP
cana-3438	234	16	medical	medical	ADJ
cana-3438	234	17	imaging	imaging	NOUN
cana-3438	234	18	:	:	PUNCT
cana-3438	234	19	a	a	DET
cana-3438	234	20	systematic	systematic	ADJ
cana-3438	234	21	review	review	NOUN
cana-3438	234	22	and	and	CCONJ
cana-3438	234	23	meta	meta	ADJ
cana-3438	234	24	-	-	PUNCT
cana-3438	234	25	analysis	analysis	NOUN
cana-3438	234	26	.	.	PUNCT
cana-3438	235	1	the	the	DET
cana-3438	235	2	lancet	lancet	PROPN
cana-3438	235	3	digital	digital	PROPN
cana-3438	235	4	health	health	NOUN
cana-3438	235	5	,	,	PUNCT
cana-3438	235	6	1(6	1(6	NUM
cana-3438	235	7	)	)	PUNCT
cana-3438	235	8	,	,	PUNCT
cana-3438	235	9	e271	e271	PROPN
cana-3438	235	10	-	-	PUNCT
cana-3438	235	11	e297	e297	PROPN
cana-3438	235	12	.	.	PUNCT
cana-3438	236	1	[	[	X
cana-3438	236	2	24	24	NUM
cana-3438	236	3	]	]	PUNCT
cana-3438	236	4	jeon	jeon	PROPN
cana-3438	236	5	,	,	PUNCT
cana-3438	236	6	k.	k.	PROPN
cana-3438	236	7	,	,	PUNCT
cana-3438	236	8	park	park	PROPN
cana-3438	236	9	,	,	PUNCT
cana-3438	236	10	w.	w.	PROPN
cana-3438	236	11	y.	y.	PROPN
cana-3438	236	12	,	,	PUNCT
cana-3438	236	13	kahn	kahn	PROPN
cana-3438	236	14	jr	jr	PROPN
cana-3438	236	15	,	,	PUNCT
cana-3438	236	16	c.	c.	PROPN
cana-3438	236	17	e.	e.	PROPN
cana-3438	236	18	,	,	PUNCT
cana-3438	236	19	nagy	nagy	NOUN
cana-3438	236	20	,	,	PUNCT
cana-3438	236	21	p.	p.	PROPN
cana-3438	236	22	,	,	PUNCT
cana-3438	236	23	you	you	PRON
cana-3438	236	24	,	,	PUNCT
cana-3438	236	25	s.	s.	PROPN
cana-3438	236	26	c.	c.	PROPN
cana-3438	236	27	,	,	PUNCT
cana-3438	236	28	&	&	CCONJ
cana-3438	236	29	yoon	yoon	PROPN
cana-3438	236	30	,	,	PUNCT
cana-3438	236	31	s.	s.	PROPN
cana-3438	236	32	h.	h.	PROPN
cana-3438	236	33	(	(	PUNCT
cana-3438	236	34	2023	2023	NUM
cana-3438	236	35	)	)	PUNCT
cana-3438	236	36	.	.	PUNCT
cana-3438	237	1	advancing	advance	VERB
cana-3438	237	2	medical	medical	ADJ
cana-3438	237	3	imaging	imaging	NOUN
cana-3438	237	4	research	research	NOUN
cana-3438	237	5	through	through	ADP
cana-3438	237	6	standardization	standardization	NOUN
cana-3438	237	7	:	:	PUNCT
cana-3438	237	8	the	the	DET
cana-3438	237	9	path	path	NOUN
cana-3438	237	10	to	to	ADP
cana-3438	237	11	rapid	rapid	ADJ
cana-3438	237	12	development	development	NOUN
cana-3438	237	13	,	,	PUNCT
cana-3438	237	14	rigorous	rigorous	ADJ
cana-3438	237	15	validation	validation	NOUN
cana-3438	237	16	,	,	PUNCT
cana-3438	237	17	and	and	CCONJ
cana-3438	237	18	robust	robust	ADJ
cana-3438	237	19	reproducibility	reproducibility	NOUN
cana-3438	237	20	.	.	PUNCT
cana-3438	238	1	investigative	investigative	ADJ
cana-3438	238	2	radiology	radiology	NOUN
cana-3438	238	3	,	,	PUNCT
cana-3438	238	4	10	10	NUM
cana-3438	238	5	-	-	SYM
cana-3438	238	6	1097	1097	NUM
cana-3438	238	7	.	.	PUNCT
cana-3438	239	1	[	[	X
cana-3438	239	2	25	25	NUM
cana-3438	239	3	]	]	X
cana-3438	239	4	zhu	zhu	PROPN
cana-3438	239	5	,	,	PUNCT
cana-3438	239	6	y.	y.	PROPN
cana-3438	239	7	,	,	PUNCT
cana-3438	239	8	yin	yin	PROPN
cana-3438	239	9	,	,	PUNCT
cana-3438	239	10	x.	x.	PROPN
cana-3438	239	11	,	,	PUNCT
cana-3438	239	12	liew	liew	PROPN
cana-3438	239	13	,	,	PUNCT
cana-3438	239	14	a.	a.	PROPN
cana-3438	239	15	w.	w.	PROPN
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cana-3438	239	17	,	,	PUNCT
cana-3438	239	18	&	&	CCONJ
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cana-3438	239	20	,	,	PUNCT
cana-3438	239	21	h.	h.	PROPN
cana-3438	239	22	(	(	PUNCT
cana-3438	239	23	2024	2024	NUM
cana-3438	239	24	)	)	PUNCT
cana-3438	239	25	.	.	PUNCT
cana-3438	240	1	privacy	privacy	NOUN
cana-3438	240	2	-	-	PUNCT
cana-3438	240	3	preserving	preserve	VERB
cana-3438	240	4	in	in	ADP
cana-3438	240	5	medical	medical	ADJ
cana-3438	240	6	image	image	NOUN
cana-3438	240	7	analysis	analysis	NOUN
cana-3438	240	8	:	:	PUNCT
cana-3438	240	9	a	a	DET
cana-3438	240	10	review	review	NOUN
cana-3438	240	11	of	of	ADP
cana-3438	240	12	methods	method	NOUN
cana-3438	240	13	and	and	CCONJ
cana-3438	240	14	applications	application	NOUN
cana-3438	240	15	.	.	PUNCT
cana-3438	241	1	arxiv	arxiv	PROPN
cana-3438	241	2	preprint	preprint	NOUN
cana-3438	241	3	arxiv:2412.03924	arxiv:2412.03924	NOUN
cana-3438	241	4	.	.	PUNCT
cana-3438	242	1	[	[	X
cana-3438	242	2	26	26	NUM
cana-3438	242	3	]	]	X
cana-3438	242	4	bharati	bharati	PROPN
cana-3438	242	5	,	,	PUNCT
cana-3438	242	6	s.	s.	PROPN
cana-3438	242	7	,	,	PUNCT
cana-3438	242	8	podder	podder	NOUN
cana-3438	242	9	,	,	PUNCT
cana-3438	242	10	p.	p.	NOUN
cana-3438	242	11	,	,	PUNCT
cana-3438	242	12	&	&	CCONJ
cana-3438	242	13	mondal	mondal	PROPN
cana-3438	242	14	,	,	PUNCT
cana-3438	242	15	m.	m.	PROPN
cana-3438	242	16	r.	r.	PROPN
cana-3438	242	17	h.	h.	PROPN
cana-3438	242	18	(	(	PUNCT
cana-3438	242	19	2020	2020	NUM
cana-3438	242	20	)	)	PUNCT
cana-3438	242	21	.	.	PUNCT
cana-3438	243	1	hybrid	hybrid	ADJ
cana-3438	243	2	deep	deep	ADJ
cana-3438	243	3	learning	learning	NOUN
cana-3438	243	4	for	for	ADP
cana-3438	243	5	detecting	detect	VERB
cana-3438	243	6	lung	lung	NOUN
cana-3438	243	7	diseases	disease	NOUN
cana-3438	243	8	from	from	ADP
cana-3438	243	9	x	x	NOUN
cana-3438	243	10	-	-	NOUN
cana-3438	243	11	ray	ray	NOUN
cana-3438	243	12	images	image	NOUN
cana-3438	243	13	.	.	PUNCT
cana-3438	244	1	informatics	informatic	NOUN
cana-3438	244	2	in	in	ADP
cana-3438	244	3	medicine	medicine	NOUN
cana-3438	244	4	unlocked	unlock	VERB
cana-3438	244	5	,	,	PUNCT
cana-3438	244	6	20	20	NUM
cana-3438	244	7	,	,	PUNCT
cana-3438	244	8	100391	100391	NUM
cana-3438	244	9	.	.	PUNCT
cana-3438	245	1	[	[	X
cana-3438	245	2	27	27	NUM
cana-3438	245	3	]	]	X
cana-3438	245	4	mikołajczyk	mikołajczyk	PROPN
cana-3438	245	5	,	,	PUNCT
cana-3438	245	6	a.	a.	PROPN
cana-3438	245	7	,	,	PUNCT
cana-3438	245	8	&	&	CCONJ
cana-3438	245	9	grochowski	grochowski	PROPN
cana-3438	245	10	,	,	PUNCT
cana-3438	245	11	m.	m.	NOUN
cana-3438	245	12	(	(	PUNCT
cana-3438	245	13	2018	2018	NUM
cana-3438	245	14	,	,	PUNCT
cana-3438	245	15	may	may	AUX
cana-3438	245	16	)	)	PUNCT
cana-3438	245	17	.	.	PUNCT
cana-3438	246	1	data	datum	NOUN
cana-3438	246	2	augmentation	augmentation	NOUN
cana-3438	246	3	for	for	ADP
cana-3438	246	4	improving	improve	VERB
cana-3438	246	5	deep	deep	ADJ
cana-3438	246	6	learning	learning	NOUN
cana-3438	246	7	in	in	ADP
cana-3438	246	8	image	image	NOUN
cana-3438	246	9	classification	classification	NOUN
cana-3438	246	10	problem	problem	NOUN
cana-3438	246	11	.	.	PUNCT
cana-3438	247	1	in	in	ADP
cana-3438	247	2	2018	2018	NUM
cana-3438	247	3	international	international	ADJ
cana-3438	247	4	interdisciplinary	interdisciplinary	ADJ
cana-3438	247	5	phd	phd	NOUN
cana-3438	247	6	workshop	workshop	NOUN
cana-3438	247	7	(	(	PUNCT
cana-3438	247	8	iiphdw	iiphdw	NOUN
cana-3438	247	9	)	)	PUNCT
cana-3438	247	10	(	(	PUNCT
cana-3438	247	11	pp	pp	X
cana-3438	247	12	.	.	PUNCT
cana-3438	247	13	117	117	NUM
cana-3438	247	14	-	-	SYM
cana-3438	247	15	122	122	NUM
cana-3438	247	16	)	)	PUNCT
cana-3438	247	17	.	.	PUNCT
cana-3438	248	1	ieee	ieee	PROPN
cana-3438	248	2	.	.	PUNCT
cana-3438	249	1	[	[	X
cana-3438	249	2	28	28	NUM
cana-3438	249	3	]	]	PUNCT
cana-3438	249	4	raparthi	raparthi	NOUN
cana-3438	249	5	,	,	PUNCT
cana-3438	249	6	m.	m.	NOUN
cana-3438	249	7	(	(	PUNCT
cana-3438	249	8	2020	2020	NUM
cana-3438	249	9	)	)	PUNCT
cana-3438	249	10	.	.	PUNCT
cana-3438	250	1	deep	deep	ADJ
cana-3438	250	2	learning	learn	VERB
cana-3438	250	3	for	for	ADP
cana-3438	250	4	personalized	personalized	ADJ
cana-3438	250	5	medicine	medicine	NOUN
cana-3438	250	6	-	-	PUNCT
cana-3438	250	7	enhancing	enhance	VERB
cana-3438	250	8	precision	precision	NOUN
cana-3438	250	9	health	health	NOUN
cana-3438	250	10	with	with	ADP
cana-3438	250	11	ai	ai	PROPN
cana-3438	250	12	.	.	PROPN
cana-3438	250	13	journal	journal	PROPN
cana-3438	250	14	of	of	ADP
cana-3438	250	15	science	science	PROPN
cana-3438	250	16	&	&	CCONJ
cana-3438	250	17	technology	technology	PROPN
cana-3438	250	18	,	,	PUNCT
cana-3438	250	19	1(1	1(1	NUM
cana-3438	250	20	)	)	PUNCT
cana-3438	250	21	,	,	PUNCT
cana-3438	250	22	82	82	NUM
cana-3438	250	23	-	-	SYM
cana-3438	250	24	90	90	NUM
cana-3438	250	25	.	.	PUNCT
cana-3438	251	1	[	[	X
cana-3438	251	2	29	29	NUM
cana-3438	251	3	]	]	PUNCT
cana-3438	251	4	sharma	sharma	PROPN
cana-3438	251	5	,	,	PUNCT
cana-3438	251	6	n.	n.	NOUN
cana-3438	251	7	,	,	PUNCT
cana-3438	251	8	&	&	CCONJ
cana-3438	251	9	kaushik	kaushik	PROPN
cana-3438	251	10	,	,	PUNCT
cana-3438	251	11	p.	p.	NOUN
cana-3438	251	12	(	(	PUNCT
cana-3438	251	13	2025	2025	NUM
cana-3438	251	14	)	)	PUNCT
cana-3438	251	15	.	.	PUNCT
cana-3438	252	1	integration	integration	NOUN
cana-3438	252	2	of	of	ADP
cana-3438	252	3	ai	ai	VERB
cana-3438	252	4	in	in	ADP
cana-3438	252	5	healthcare	healthcare	NOUN
cana-3438	252	6	systems	system	NOUN
cana-3438	252	7	—	—	PUNCT
cana-3438	252	8	a	a	DET
cana-3438	252	9	discussion	discussion	NOUN
cana-3438	252	10	of	of	ADP
cana-3438	252	11	the	the	DET
cana-3438	252	12	challenges	challenge	NOUN
cana-3438	252	13	and	and	CCONJ
cana-3438	252	14	opportunities	opportunity	NOUN
cana-3438	252	15	of	of	ADP
cana-3438	252	16	integrating	integrate	VERB
cana-3438	252	17	ai	ai	VERB
cana-3438	252	18	in	in	ADP
cana-3438	252	19	healthcare	healthcare	NOUN
cana-3438	252	20	systems	system	NOUN
cana-3438	252	21	for	for	ADP
cana-3438	252	22	disease	disease	NOUN
cana-3438	252	23	detection	detection	NOUN
cana-3438	252	24	and	and	CCONJ
cana-3438	252	25	diagnosis	diagnosis	NOUN
cana-3438	252	26	.	.	PUNCT
cana-3438	253	1	ai	ai	VERB
cana-3438	253	2	in	in	ADP
cana-3438	253	3	disease	disease	NOUN
cana-3438	253	4	detection	detection	NOUN
cana-3438	253	5	:	:	PUNCT
cana-3438	253	6	advancements	advancement	NOUN
cana-3438	253	7	and	and	CCONJ
cana-3438	253	8	applications	application	NOUN
cana-3438	253	9	,	,	PUNCT
cana-3438	253	10	239	239	NUM
cana-3438	253	11	-	-	SYM
cana-3438	253	12	263	263	NUM
cana-3438	253	13	.	.	PUNCT