id	sid	tid	token	lemma	pos
fcis-15830	1	1	frontiers	frontier	NOUN
fcis-15830	1	2	in	in	ADP
fcis-15830	1	3	computing	computing	NOUN
fcis-15830	1	4	and	and	CCONJ
fcis-15830	1	5	intelligent	intelligent	ADJ
fcis-15830	1	6	systems	system	NOUN
fcis-15830	1	7	issn	issn	VERB
fcis-15830	1	8	:	:	PUNCT
fcis-15830	1	9	2832	2832	NUM
fcis-15830	1	10	-	-	SYM
fcis-15830	1	11	6024	6024	NUM
fcis-15830	1	12	|	|	NOUN
fcis-15830	1	13	vol	vol	NOUN
fcis-15830	1	14	.	.	PROPN
fcis-15830	2	1	6	6	NUM
fcis-15830	2	2	,	,	PUNCT
fcis-15830	2	3	no	no	INTJ
fcis-15830	2	4	.	.	NOUN
fcis-15830	2	5	3	3	NUM
fcis-15830	2	6	,	,	PUNCT
fcis-15830	2	7	2023	2023	NUM
fcis-15830	2	8	137	137	NUM
fcis-15830	2	9	development	development	NOUN
fcis-15830	2	10	of	of	ADP
fcis-15830	2	11	machine	machine	NOUN
fcis-15830	2	12	learning	learning	NOUN
fcis-15830	2	13	and	and	CCONJ
fcis-15830	2	14	artificial	artificial	ADJ
fcis-15830	2	15	intelligence	intelligence	NOUN
fcis-15830	2	16	in	in	ADP
fcis-15830	2	17	toxic	toxic	ADJ
fcis-15830	2	18	pathology	pathology	NOUN
fcis-15830	2	19	tianbo	tianbo	NOUN
fcis-15830	2	20	song	song	NOUN
fcis-15830	2	21	1	1	NUM
fcis-15830	2	22	,	,	PUNCT
fcis-15830	2	23	*	*	PROPN
fcis-15830	2	24	,	,	PUNCT
fcis-15830	2	25	quan	quan	PROPN
fcis-15830	2	26	zhang	zhang	PROPN
fcis-15830	2	27	2	2	NUM
fcis-15830	2	28	,	,	PUNCT
fcis-15830	2	29	guoqing	guoqe	VERB
fcis-15830	2	30	cai	cai	X
fcis-15830	2	31	3	3	NUM
fcis-15830	2	32	,	,	PUNCT
fcis-15830	2	33	meiqing	meiqe	VERB
fcis-15830	2	34	cai	cai	X
fcis-15830	2	35	4	4	NUM
fcis-15830	2	36	,	,	PUNCT
fcis-15830	2	37	jili	jili	NOUN
fcis-15830	2	38	qian	qian	PROPN
fcis-15830	2	39	5	5	NUM
fcis-15830	2	40	1	1	NUM
fcis-15830	2	41	computer	computer	NOUN
fcis-15830	2	42	engineering	engineering	NOUN
fcis-15830	2	43	,	,	PUNCT
fcis-15830	2	44	arizona	arizona	PROPN
fcis-15830	2	45	state	state	PROPN
fcis-15830	2	46	university	university	PROPN
fcis-15830	2	47	,	,	PUNCT
fcis-15830	2	48	tempe	tempe	PROPN
fcis-15830	2	49	,	,	PUNCT
fcis-15830	2	50	az	az	PROPN
fcis-15830	2	51	,	,	PUNCT
fcis-15830	2	52	usa	usa	PROPN
fcis-15830	2	53	2	2	NUM
fcis-15830	2	54	information	information	NOUN
fcis-15830	2	55	studies	study	NOUN
fcis-15830	2	56	,	,	PUNCT
fcis-15830	2	57	trine	trine	PROPN
fcis-15830	2	58	university	university	NOUN
fcis-15830	2	59	,	,	PUNCT
fcis-15830	2	60	phoenix	phoenix	PROPN
fcis-15830	2	61	az	az	PROPN
fcis-15830	2	62	,	,	PUNCT
fcis-15830	2	63	usa	usa	PROPN
fcis-15830	2	64	3	3	NUM
fcis-15830	2	65	information	information	NOUN
fcis-15830	2	66	studies	study	NOUN
fcis-15830	2	67	,	,	PUNCT
fcis-15830	2	68	trine	trine	PROPN
fcis-15830	2	69	university	university	NOUN
fcis-15830	2	70	,	,	PUNCT
fcis-15830	2	71	phoenix	phoenix	PROPN
fcis-15830	2	72	az	az	PROPN
fcis-15830	2	73	,	,	PUNCT
fcis-15830	2	74	usa	usa	PROPN
fcis-15830	2	75	4	4	NUM
fcis-15830	2	76	computer	computer	NOUN
fcis-15830	2	77	science	science	NOUN
fcis-15830	2	78	,	,	PUNCT
fcis-15830	2	79	independent	independent	ADJ
fcis-15830	2	80	researcher	researcher	NOUN
fcis-15830	2	81	,	,	PUNCT
fcis-15830	2	82	nanchang	nanchang	PROPN
fcis-15830	2	83	,	,	PUNCT
fcis-15830	2	84	jiangxi	jiangxi	PROPN
fcis-15830	2	85	,	,	PUNCT
fcis-15830	2	86	china	china	PROPN
fcis-15830	2	87	5	5	NUM
fcis-15830	2	88	information	information	NOUN
fcis-15830	2	89	studies	study	NOUN
fcis-15830	2	90	,	,	PUNCT
fcis-15830	2	91	trine	trine	PROPN
fcis-15830	2	92	university	university	NOUN
fcis-15830	2	93	,	,	PUNCT
fcis-15830	2	94	phoenix	phoenix	PROPN
fcis-15830	2	95	az	az	PROPN
fcis-15830	2	96	,	,	PUNCT
fcis-15830	2	97	usa	usa	PROPN
fcis-15830	2	98	*	*	PUNCT
fcis-15830	2	99	corresponding	correspond	VERB
fcis-15830	2	100	author	author	NOUN
fcis-15830	2	101	:	:	PUNCT
fcis-15830	2	102	tianbo	tianbo	PROPN
fcis-15830	2	103	song	song	NOUN
fcis-15830	2	104	(	(	PUNCT
fcis-15830	2	105	email	email	NOUN
fcis-15830	2	106	:	:	PUNCT
fcis-15830	2	107	sportlemon@gmail.com	sportlemon@gmail.com	X
fcis-15830	2	108	)	)	PUNCT
fcis-15830	2	109	abstract	abstract	ADJ
fcis-15830	2	110	:	:	PUNCT
fcis-15830	2	111	toxicity	toxicity	NOUN
fcis-15830	2	112	pathology	pathology	NOUN
fcis-15830	2	113	is	be	AUX
fcis-15830	2	114	an	an	DET
fcis-15830	2	115	important	important	ADJ
fcis-15830	2	116	part	part	NOUN
fcis-15830	2	117	of	of	ADP
fcis-15830	2	118	preclinical	preclinical	ADJ
fcis-15830	2	119	drug	drug	NOUN
fcis-15830	2	120	safety	safety	NOUN
fcis-15830	2	121	evaluation	evaluation	NOUN
fcis-15830	2	122	.	.	PUNCT
fcis-15830	3	1	with	with	ADP
fcis-15830	3	2	the	the	DET
fcis-15830	3	3	development	development	NOUN
fcis-15830	3	4	of	of	ADP
fcis-15830	3	5	computer	computer	NOUN
fcis-15830	3	6	science	science	NOUN
fcis-15830	3	7	and	and	CCONJ
fcis-15830	3	8	full	full	ADJ
fcis-15830	3	9	-	-	PUNCT
fcis-15830	3	10	slice	slice	NOUN
fcis-15830	3	11	digital	digital	ADJ
fcis-15830	3	12	scanning	scanning	NOUN
fcis-15830	3	13	technology	technology	NOUN
fcis-15830	3	14	,	,	PUNCT
fcis-15830	3	15	artificial	artificial	ADJ
fcis-15830	3	16	intelligence	intelligence	NOUN
fcis-15830	3	17	(	(	PUNCT
fcis-15830	3	18	ai	ai	PROPN
fcis-15830	3	19	)	)	PUNCT
fcis-15830	3	20	has	have	AUX
fcis-15830	3	21	been	be	AUX
fcis-15830	3	22	widely	widely	ADV
fcis-15830	3	23	used	use	VERB
fcis-15830	3	24	in	in	ADP
fcis-15830	3	25	the	the	DET
fcis-15830	3	26	field	field	NOUN
fcis-15830	3	27	of	of	ADP
fcis-15830	3	28	drug	drug	NOUN
fcis-15830	3	29	safety	safety	NOUN
fcis-15830	3	30	evaluation	evaluation	NOUN
fcis-15830	3	31	,	,	PUNCT
fcis-15830	3	32	including	include	VERB
fcis-15830	3	33	all	all	DET
fcis-15830	3	34	aspects	aspect	NOUN
fcis-15830	3	35	of	of	ADP
fcis-15830	3	36	pathology	pathology	NOUN
fcis-15830	3	37	,	,	PUNCT
fcis-15830	3	38	such	such	ADJ
fcis-15830	3	39	as	as	ADP
fcis-15830	3	40	diagnostic	diagnostic	ADJ
fcis-15830	3	41	pathology	pathology	NOUN
fcis-15830	3	42	,	,	PUNCT
fcis-15830	3	43	veterinary	veterinary	ADJ
fcis-15830	3	44	diagnostics	diagnostic	NOUN
fcis-15830	3	45	,	,	PUNCT
fcis-15830	3	46	pathology	pathology	NOUN
fcis-15830	3	47	research	research	NOUN
fcis-15830	3	48	,	,	PUNCT
fcis-15830	3	49	regulatory	regulatory	ADJ
fcis-15830	3	50	toxicology	toxicology	NOUN
fcis-15830	3	51	and	and	CCONJ
fcis-15830	3	52	pathology	pathology	NOUN
fcis-15830	3	53	primary	primary	ADJ
fcis-15830	3	54	film	film	NOUN
fcis-15830	3	55	review	review	NOUN
fcis-15830	3	56	and	and	CCONJ
fcis-15830	3	57	peer	peer	NOUN
fcis-15830	3	58	review	review	NOUN
fcis-15830	3	59	.	.	PUNCT
fcis-15830	4	1	toxicology	toxicology	NOUN
fcis-15830	4	2	is	be	AUX
fcis-15830	4	3	one	one	NUM
fcis-15830	4	4	of	of	ADP
fcis-15830	4	5	the	the	DET
fcis-15830	4	6	most	most	ADV
fcis-15830	4	7	valuable	valuable	ADJ
fcis-15830	4	8	disciplines	discipline	NOUN
fcis-15830	4	9	to	to	PART
fcis-15830	4	10	promote	promote	VERB
fcis-15830	4	11	the	the	DET
fcis-15830	4	12	development	development	NOUN
fcis-15830	4	13	of	of	ADP
fcis-15830	4	14	animal	animal	NOUN
fcis-15830	4	15	and	and	CCONJ
fcis-15830	4	16	human	human	ADJ
fcis-15830	4	17	health	health	NOUN
fcis-15830	4	18	,	,	PUNCT
fcis-15830	4	19	and	and	CCONJ
fcis-15830	4	20	the	the	DET
fcis-15830	4	21	toxicity	toxicity	NOUN
fcis-15830	4	22	research	research	NOUN
fcis-15830	4	23	of	of	ADP
fcis-15830	4	24	drug	drug	NOUN
fcis-15830	4	25	non	non	ADJ
fcis-15830	4	26	-	-	ADJ
fcis-15830	4	27	clinical	clinical	ADJ
fcis-15830	4	28	safety	safety	NOUN
fcis-15830	4	29	evaluation	evaluation	NOUN
fcis-15830	4	30	.	.	PUNCT
fcis-15830	5	1	the	the	DET
fcis-15830	5	2	development	development	NOUN
fcis-15830	5	3	and	and	CCONJ
fcis-15830	5	4	application	application	NOUN
fcis-15830	5	5	of	of	ADP
fcis-15830	5	6	a	a	DET
fcis-15830	5	7	wide	wide	ADJ
fcis-15830	5	8	variety	variety	NOUN
fcis-15830	5	9	of	of	ADP
fcis-15830	5	10	algorithms	algorithm	NOUN
fcis-15830	5	11	for	for	ADP
fcis-15830	5	12	histopathology	histopathology	NOUN
fcis-15830	5	13	suggests	suggest	VERB
fcis-15830	5	14	that	that	SCONJ
fcis-15830	5	15	ai	ai	AUX
fcis-15830	5	16	pathology	pathology	NOUN
fcis-15830	5	17	platforms	platform	NOUN
fcis-15830	5	18	can	can	AUX
fcis-15830	5	19	profoundly	profoundly	ADV
fcis-15830	5	20	influence	influence	VERB
fcis-15830	5	21	the	the	DET
fcis-15830	5	22	future	future	NOUN
fcis-15830	5	23	of	of	ADP
fcis-15830	5	24	digital	digital	ADJ
fcis-15830	5	25	toxic	toxic	ADJ
fcis-15830	5	26	pathology	pathology	NOUN
fcis-15830	5	27	,	,	PUNCT
fcis-15830	5	28	precision	precision	NOUN
fcis-15830	5	29	medicine	medicine	NOUN
fcis-15830	5	30	,	,	PUNCT
fcis-15830	5	31	and	and	CCONJ
fcis-15830	5	32	personalized	personalized	ADJ
fcis-15830	5	33	medicine	medicine	NOUN
fcis-15830	5	34	.	.	PUNCT
fcis-15830	6	1	however	however	ADV
fcis-15830	6	2	,	,	PUNCT
fcis-15830	6	3	as	as	ADP
fcis-15830	6	4	with	with	ADP
fcis-15830	6	5	all	all	DET
fcis-15830	6	6	other	other	ADJ
fcis-15830	6	7	revolutionary	revolutionary	ADJ
fcis-15830	6	8	technologies	technology	NOUN
fcis-15830	6	9	,	,	PUNCT
fcis-15830	6	10	there	there	PRON
fcis-15830	6	11	are	be	VERB
fcis-15830	6	12	many	many	ADJ
fcis-15830	6	13	challenges	challenge	NOUN
fcis-15830	6	14	in	in	ADP
fcis-15830	6	15	the	the	DET
fcis-15830	6	16	implementation	implementation	NOUN
fcis-15830	6	17	and	and	CCONJ
fcis-15830	6	18	application	application	NOUN
fcis-15830	6	19	of	of	ADP
fcis-15830	6	20	ai	ai	PROPN
fcis-15830	6	21	pathology	pathology	NOUN
fcis-15830	6	22	platforms	platform	NOUN
fcis-15830	6	23	.	.	PUNCT
fcis-15830	7	1	this	this	DET
fcis-15830	7	2	paper	paper	NOUN
fcis-15830	7	3	reviews	review	VERB
fcis-15830	7	4	the	the	DET
fcis-15830	7	5	development	development	NOUN
fcis-15830	7	6	of	of	ADP
fcis-15830	7	7	artificial	artificial	ADJ
fcis-15830	7	8	intelligence	intelligence	NOUN
fcis-15830	7	9	and	and	CCONJ
fcis-15830	7	10	machine	machine	NOUN
fcis-15830	7	11	learning	learning	NOUN
fcis-15830	7	12	,	,	PUNCT
fcis-15830	7	13	the	the	DET
fcis-15830	7	14	application	application	NOUN
fcis-15830	7	15	of	of	ADP
fcis-15830	7	16	artificial	artificial	ADJ
fcis-15830	7	17	intelligence	intelligence	NOUN
fcis-15830	7	18	in	in	ADP
fcis-15830	7	19	toxic	toxic	ADJ
fcis-15830	7	20	pathology	pathology	NOUN
fcis-15830	7	21	,	,	PUNCT
fcis-15830	7	22	the	the	DET
fcis-15830	7	23	application	application	NOUN
fcis-15830	7	24	of	of	ADP
fcis-15830	7	25	machine	machine	NOUN
fcis-15830	7	26	learning	learning	NOUN
fcis-15830	7	27	in	in	ADP
fcis-15830	7	28	digital	digital	ADJ
fcis-15830	7	29	toxic	toxic	ADJ
fcis-15830	7	30	pathology	pathology	NOUN
fcis-15830	7	31	,	,	PUNCT
fcis-15830	7	32	and	and	CCONJ
fcis-15830	7	33	the	the	DET
fcis-15830	7	34	impact	impact	NOUN
fcis-15830	7	35	of	of	ADP
fcis-15830	7	36	artificial	artificial	ADJ
fcis-15830	7	37	intelligence	intelligence	NOUN
fcis-15830	7	38	on	on	ADP
fcis-15830	7	39	digital	digital	ADJ
fcis-15830	7	40	toxic	toxic	ADJ
fcis-15830	7	41	pathology	pathology	NOUN
fcis-15830	7	42	,	,	PUNCT
fcis-15830	7	43	in	in	ADP
fcis-15830	7	44	order	order	NOUN
fcis-15830	7	45	to	to	PART
fcis-15830	7	46	provide	provide	VERB
fcis-15830	7	47	some	some	DET
fcis-15830	7	48	reference	reference	NOUN
fcis-15830	7	49	for	for	ADP
fcis-15830	7	50	the	the	DET
fcis-15830	7	51	application	application	NOUN
fcis-15830	7	52	of	of	ADP
fcis-15830	7	53	artificial	artificial	ADJ
fcis-15830	7	54	intelligence	intelligence	NOUN
fcis-15830	7	55	and	and	CCONJ
fcis-15830	7	56	machine	machine	NOUN
fcis-15830	7	57	learning	learning	NOUN
fcis-15830	7	58	in	in	ADP
fcis-15830	7	59	toxic	toxic	ADJ
fcis-15830	7	60	pathology	pathology	NOUN
fcis-15830	7	61	in	in	ADP
fcis-15830	7	62	china	china	PROPN
fcis-15830	7	63	keywords	keyword	NOUN
fcis-15830	7	64	:	:	PUNCT
fcis-15830	7	65	toxicity	toxicity	NOUN
fcis-15830	7	66	pathology	pathology	NOUN
fcis-15830	7	67	;	;	PUNCT
fcis-15830	7	68	artificial	artificial	ADJ
fcis-15830	7	69	intelligence	intelligence	NOUN
fcis-15830	7	70	;	;	PUNCT
fcis-15830	7	71	machine	machine	NOUN
fcis-15830	7	72	learning	learning	NOUN
fcis-15830	7	73	;	;	PUNCT
fcis-15830	7	74	artificial	artificial	ADJ
fcis-15830	7	75	neural	neural	ADJ
fcis-15830	7	76	network	network	NOUN
fcis-15830	7	77	.	.	PUNCT
fcis-15830	8	1	1	1	X
fcis-15830	8	2	.	.	X
fcis-15830	8	3	introduction	introduction	NOUN
fcis-15830	8	4	artificial	artificial	ADJ
fcis-15830	8	5	intelligence	intelligence	NOUN
fcis-15830	8	6	(	(	PUNCT
fcis-15830	8	7	ai	ai	NOUN
fcis-15830	8	8	)	)	PUNCT
fcis-15830	8	9	is	be	AUX
fcis-15830	8	10	based	base	VERB
fcis-15830	8	11	on	on	ADP
fcis-15830	8	12	machine	machine	NOUN
fcis-15830	8	13	algorithms	algorithm	NOUN
fcis-15830	8	14	to	to	PART
fcis-15830	8	15	predict	predict	VERB
fcis-15830	8	16	or	or	CCONJ
fcis-15830	8	17	simulate	simulate	VERB
fcis-15830	8	18	what	what	PRON
fcis-15830	8	19	a	a	DET
fcis-15830	8	20	human	human	NOUN
fcis-15830	8	21	would	would	AUX
fcis-15830	8	22	do	do	VERB
fcis-15830	8	23	in	in	ADP
fcis-15830	8	24	the	the	DET
fcis-15830	8	25	same	same	ADJ
fcis-15830	8	26	situation	situation	NOUN
fcis-15830	8	27	.	.	PUNCT
fcis-15830	9	1	it	it	PRON
fcis-15830	9	2	is	be	AUX
fcis-15830	9	3	the	the	DET
fcis-15830	9	4	inevitable	inevitable	ADJ
fcis-15830	9	5	product	product	NOUN
fcis-15830	9	6	of	of	ADP
fcis-15830	9	7	the	the	DET
fcis-15830	9	8	development	development	NOUN
fcis-15830	9	9	of	of	ADP
fcis-15830	9	10	computer	computer	NOUN
fcis-15830	9	11	science	science	NOUN
fcis-15830	9	12	and	and	CCONJ
fcis-15830	9	13	ultra	ultra	ADJ
fcis-15830	9	14	-	-	ADJ
fcis-15830	9	15	fast	fast	ADJ
fcis-15830	9	16	computing	computing	NOUN
fcis-15830	9	17	speed	speed	NOUN
fcis-15830	9	18	,	,	PUNCT
fcis-15830	9	19	and	and	CCONJ
fcis-15830	9	20	it	it	PRON
fcis-15830	9	21	is	be	AUX
fcis-15830	9	22	also	also	ADV
fcis-15830	9	23	the	the	DET
fcis-15830	9	24	strategic	strategic	ADJ
fcis-15830	9	25	point	point	NOUN
fcis-15830	9	26	of	of	ADP
fcis-15830	9	27	future	future	ADJ
fcis-15830	9	28	scientific	scientific	ADJ
fcis-15830	9	29	and	and	CCONJ
fcis-15830	9	30	technological	technological	ADJ
fcis-15830	9	31	development	development	NOUN
fcis-15830	9	32	.	.	PUNCT
fcis-15830	10	1	deep	deep	ADJ
fcis-15830	10	2	learning	learning	NOUN
fcis-15830	10	3	is	be	AUX
fcis-15830	10	4	a	a	DET
fcis-15830	10	5	special	special	ADJ
fcis-15830	10	6	machine	machine	NOUN
fcis-15830	10	7	learning	learning	NOUN
fcis-15830	10	8	method	method	NOUN
fcis-15830	10	9	that	that	PRON
fcis-15830	10	10	has	have	AUX
fcis-15830	10	11	emerged	emerge	VERB
fcis-15830	10	12	during	during	ADP
fcis-15830	10	13	the	the	DET
fcis-15830	10	14	development	development	NOUN
fcis-15830	10	15	of	of	ADP
fcis-15830	10	16	artificial	artificial	ADJ
fcis-15830	10	17	neural	neural	ADJ
fcis-15830	10	18	networks	network	NOUN
fcis-15830	10	19	and	and	CCONJ
fcis-15830	10	20	is	be	AUX
fcis-15830	10	21	considered	consider	VERB
fcis-15830	10	22	one	one	NUM
fcis-15830	10	23	of	of	ADP
fcis-15830	10	24	the	the	DET
fcis-15830	10	25	most	most	ADV
fcis-15830	10	26	advanced	advanced	ADJ
fcis-15830	10	27	techniques	technique	NOUN
fcis-15830	10	28	in	in	ADP
fcis-15830	10	29	image	image	NOUN
fcis-15830	10	30	analysis	analysis	NOUN
fcis-15830	10	31	applications	application	NOUN
fcis-15830	10	32	.	.	PUNCT
fcis-15830	11	1	the	the	DET
fcis-15830	11	2	most	most	ADV
fcis-15830	11	3	used	used	ADJ
fcis-15830	11	4	deep	deep	ADJ
fcis-15830	11	5	learning	learning	NOUN
fcis-15830	11	6	model	model	NOUN
fcis-15830	11	7	is	be	AUX
fcis-15830	11	8	the	the	DET
fcis-15830	11	9	convolutional	convolutional	ADJ
fcis-15830	11	10	neural	neural	ADJ
fcis-15830	11	11	network	network	NOUN
fcis-15830	11	12	,	,	PUNCT
fcis-15830	11	13	which	which	PRON
fcis-15830	11	14	can	can	AUX
fcis-15830	11	15	abstract	abstract	VERB
fcis-15830	11	16	local	local	ADJ
fcis-15830	11	17	features	feature	NOUN
fcis-15830	11	18	and	and	CCONJ
fcis-15830	11	19	is	be	AUX
fcis-15830	11	20	therefore	therefore	ADV
fcis-15830	11	21	very	very	ADV
fcis-15830	11	22	suitable	suitable	ADJ
fcis-15830	11	23	for	for	ADP
fcis-15830	11	24	application	application	NOUN
fcis-15830	11	25	in	in	ADP
fcis-15830	11	26	the	the	DET
fcis-15830	11	27	field	field	NOUN
fcis-15830	11	28	of	of	ADP
fcis-15830	11	29	computer	computer	NOUN
fcis-15830	11	30	vision	vision	NOUN
fcis-15830	12	1	[	[	X
fcis-15830	12	2	1	1	NUM
fcis-15830	12	3	-	-	SYM
fcis-15830	12	4	3	3	NUM
fcis-15830	12	5	]	]	PUNCT
fcis-15830	12	6	.	.	PUNCT
fcis-15830	13	1	toxopathological	toxopathological	ADJ
fcis-15830	13	2	evaluation	evaluation	NOUN
fcis-15830	13	3	in	in	ADP
fcis-15830	13	4	non	non	ADJ
fcis-15830	13	5	-	-	ADJ
fcis-15830	13	6	clinical	clinical	ADJ
fcis-15830	13	7	safety	safety	NOUN
fcis-15830	13	8	evaluation	evaluation	NOUN
fcis-15830	13	9	of	of	ADP
fcis-15830	13	10	drugs	drug	NOUN
fcis-15830	13	11	is	be	AUX
fcis-15830	13	12	an	an	DET
fcis-15830	13	13	important	important	ADJ
fcis-15830	13	14	part	part	NOUN
fcis-15830	13	15	of	of	ADP
fcis-15830	13	16	general	general	ADJ
fcis-15830	13	17	toxicity	toxicity	NOUN
fcis-15830	13	18	test	test	NOUN
fcis-15830	13	19	and	and	CCONJ
fcis-15830	13	20	carcinogenic	carcinogenic	ADJ
fcis-15830	13	21	test	test	NOUN
fcis-15830	13	22	.	.	PUNCT
fcis-15830	14	1	the	the	DET
fcis-15830	14	2	histopathological	histopathological	ADJ
fcis-15830	14	3	results	result	NOUN
fcis-15830	14	4	of	of	ADP
fcis-15830	14	5	paraffin	paraffin	NOUN
fcis-15830	14	6	embedding	embed	VERB
fcis-15830	14	7	,	,	PUNCT
fcis-15830	14	8	hematoxylin	hematoxylin	NOUN
fcis-15830	14	9	and	and	CCONJ
fcis-15830	14	10	eosin	eosin	NOUN
fcis-15830	14	11	-	-	PUNCT
fcis-15830	14	12	stained	stain	VERB
fcis-15830	14	13	sections	section	NOUN
fcis-15830	14	14	are	be	AUX
fcis-15830	14	15	the	the	DET
fcis-15830	14	16	gold	gold	ADJ
fcis-15830	14	17	standard	standard	NOUN
fcis-15830	14	18	for	for	ADP
fcis-15830	14	19	toxicological	toxicological	ADJ
fcis-15830	14	20	evaluation	evaluation	NOUN
fcis-15830	14	21	.	.	PUNCT
fcis-15830	15	1	these	these	DET
fcis-15830	15	2	standardized	standardized	ADJ
fcis-15830	15	3	approaches	approach	NOUN
fcis-15830	15	4	are	be	AUX
fcis-15830	15	5	time	time	NOUN
fcis-15830	15	6	-	-	PUNCT
fcis-15830	15	7	tested	test	VERB
fcis-15830	15	8	and	and	CCONJ
fcis-15830	15	9	will	will	AUX
fcis-15830	15	10	continue	continue	VERB
fcis-15830	15	11	to	to	PART
fcis-15830	15	12	play	play	VERB
fcis-15830	15	13	a	a	DET
fcis-15830	15	14	key	key	ADJ
fcis-15830	15	15	role	role	NOUN
fcis-15830	15	16	in	in	ADP
fcis-15830	15	17	the	the	DET
fcis-15830	15	18	non	non	ADJ
fcis-15830	15	19	-	-	ADJ
fcis-15830	15	20	clinical	clinical	ADJ
fcis-15830	15	21	safety	safety	NOUN
fcis-15830	15	22	evaluation	evaluation	NOUN
fcis-15830	15	23	of	of	ADP
fcis-15830	15	24	drugs	drug	NOUN
fcis-15830	15	25	.	.	PUNCT
fcis-15830	16	1	digital	digital	ADJ
fcis-15830	16	2	toxicology	toxicology	NOUN
fcis-15830	16	3	,	,	PUNCT
fcis-15830	16	4	artificial	artificial	ADJ
fcis-15830	16	5	intelligence	intelligence	NOUN
fcis-15830	16	6	(	(	PUNCT
fcis-15830	16	7	ai	ai	NOUN
fcis-15830	16	8	)	)	PUNCT
fcis-15830	16	9	,	,	PUNCT
fcis-15830	16	10	and	and	CCONJ
fcis-15830	16	11	machine	machine	NOUN
fcis-15830	16	12	learning	learning	NOUN
fcis-15830	16	13	(	(	PUNCT
fcis-15830	16	14	ml	ml	NOUN
fcis-15830	16	15	)	)	PUNCT
fcis-15830	16	16	can	can	AUX
fcis-15830	16	17	significantly	significantly	ADV
fcis-15830	16	18	improve	improve	VERB
fcis-15830	16	19	the	the	DET
fcis-15830	16	20	efficiency	efficiency	NOUN
fcis-15830	16	21	and	and	CCONJ
fcis-15830	16	22	quality	quality	NOUN
fcis-15830	16	23	of	of	ADP
fcis-15830	16	24	the	the	DET
fcis-15830	16	25	work	work	NOUN
fcis-15830	16	26	of	of	ADP
fcis-15830	16	27	toxicologists	toxicologist	NOUN
fcis-15830	16	28	.	.	PUNCT
fcis-15830	17	1	in	in	ADP
fcis-15830	17	2	the	the	DET
fcis-15830	17	3	past	past	NOUN
fcis-15830	17	4	,	,	PUNCT
fcis-15830	17	5	the	the	DET
fcis-15830	17	6	development	development	NOUN
fcis-15830	17	7	of	of	ADP
fcis-15830	17	8	digital	digital	ADJ
fcis-15830	17	9	toxicology	toxicology	NOUN
fcis-15830	17	10	,	,	PUNCT
fcis-15830	17	11	ai	ai	VERB
fcis-15830	17	12	,	,	PUNCT
fcis-15830	17	13	and	and	CCONJ
fcis-15830	17	14	ml	ml	PROPN
fcis-15830	17	15	has	have	AUX
fcis-15830	17	16	been	be	AUX
fcis-15830	17	17	slowed	slow	VERB
fcis-15830	17	18	by	by	ADP
fcis-15830	17	19	computational	computational	ADJ
fcis-15830	17	20	costs	cost	NOUN
fcis-15830	17	21	and	and	CCONJ
fcis-15830	17	22	the	the	DET
fcis-15830	17	23	inability	inability	NOUN
fcis-15830	17	24	to	to	PART
fcis-15830	17	25	effectively	effectively	ADV
fcis-15830	17	26	digitize	digitize	VERB
fcis-15830	17	27	histopathological	histopathological	ADJ
fcis-15830	17	28	data	datum	NOUN
fcis-15830	17	29	for	for	ADP
fcis-15830	17	30	nearly	nearly	ADV
fcis-15830	17	31	10	10	NUM
fcis-15830	17	32	years	year	NOUN
fcis-15830	17	33	.	.	PUNCT
fcis-15830	18	1	see	see	VERB
fcis-15830	18	2	the	the	DET
fcis-15830	18	3	rapid	rapid	ADJ
fcis-15830	18	4	development	development	NOUN
fcis-15830	18	5	of	of	ADP
fcis-15830	18	6	computational	computational	ADJ
fcis-15830	18	7	pathology	pathology	NOUN
fcis-15830	18	8	and	and	CCONJ
fcis-15830	18	9	convolutional	convolutional	ADJ
fcis-15830	18	10	neural	neural	ADJ
fcis-15830	18	11	networkcnn	networkcnn	NOUN
fcis-15830	18	12	.	.	PUNCT
fcis-15830	19	1	the	the	DET
fcis-15830	19	2	continued	continue	VERB
fcis-15830	19	3	adoption	adoption	NOUN
fcis-15830	19	4	of	of	ADP
fcis-15830	19	5	new	new	ADJ
fcis-15830	19	6	technologies	technology	NOUN
fcis-15830	19	7	in	in	ADP
fcis-15830	19	8	medical	medical	ADJ
fcis-15830	19	9	imaging	imaging	NOUN
fcis-15830	19	10	has	have	AUX
fcis-15830	19	11	resulted	result	VERB
fcis-15830	19	12	in	in	ADP
fcis-15830	19	13	an	an	DET
fcis-15830	19	14	impressive	impressive	ADJ
fcis-15830	19	15	,	,	PUNCT
fcis-15830	19	16	brain	brain	NOUN
fcis-15830	19	17	-	-	PUNCT
fcis-15830	19	18	rivaling	rival	VERB
fcis-15830	19	19	technology	technology	NOUN
fcis-15830	19	20	.	.	PUNCT
fcis-15830	20	1	even	even	ADV
fcis-15830	20	2	new	new	ADJ
fcis-15830	20	3	applications	application	NOUN
fcis-15830	20	4	above	above	ADP
fcis-15830	20	5	the	the	DET
fcis-15830	20	6	human	human	ADJ
fcis-15830	20	7	brain	brain	NOUN
fcis-15830	20	8	.	.	PUNCT
fcis-15830	21	1	ai	ai	AUX
fcis-15830	21	2	consistently	consistently	ADV
fcis-15830	21	3	outperforms	outperform	VERB
fcis-15830	21	4	humans	human	NOUN
fcis-15830	21	5	in	in	ADP
fcis-15830	21	6	performing	perform	VERB
fcis-15830	21	7	repetitive	repetitive	ADJ
fcis-15830	21	8	and	and	CCONJ
fcis-15830	21	9	detailed	detailed	ADJ
fcis-15830	21	10	tasks	task	NOUN
fcis-15830	21	11	quickly	quickly	ADV
fcis-15830	21	12	and	and	CCONJ
fcis-15830	21	13	accurately	accurately	ADV
fcis-15830	21	14	[	[	X
fcis-15830	21	15	4	4	NUM
fcis-15830	21	16	]	]	PUNCT
fcis-15830	21	17	.	.	PUNCT
fcis-15830	22	1	regardless	regardless	ADV
fcis-15830	22	2	of	of	ADP
fcis-15830	22	3	time	time	NOUN
fcis-15830	22	4	constraints	constraint	NOUN
fcis-15830	22	5	,	,	PUNCT
fcis-15830	22	6	ai	ai	VERB
fcis-15830	22	7	's	's	PART
fcis-15830	22	8	diagnosis	diagnosis	NOUN
fcis-15830	22	9	of	of	ADP
fcis-15830	22	10	whole	whole	ADJ
fcis-15830	22	11	slide	slide	NOUN
fcis-15830	22	12	images	image	NOUN
fcis-15830	22	13	(	(	PUNCT
fcis-15830	22	14	wsi	wsi	NOUN
fcis-15830	22	15	)	)	PUNCT
fcis-15830	22	16	is	be	AUX
fcis-15830	22	17	already	already	ADV
fcis-15830	22	18	comparable	comparable	ADJ
fcis-15830	22	19	to	to	ADP
fcis-15830	22	20	that	that	PRON
fcis-15830	22	21	of	of	ADP
fcis-15830	22	22	pathologists	pathologist	NOUN
fcis-15830	22	23	.	.	PUNCT
fcis-15830	23	1	the	the	DET
fcis-15830	23	2	advantage	advantage	NOUN
fcis-15830	23	3	of	of	ADP
fcis-15830	23	4	a	a	DET
fcis-15830	23	5	pathologist	pathologist	NOUN
fcis-15830	23	6	is	be	AUX
fcis-15830	23	7	a	a	DET
fcis-15830	23	8	high	high	ADJ
fcis-15830	23	9	level	level	NOUN
fcis-15830	23	10	of	of	ADP
fcis-15830	23	11	cognitive	cognitive	ADJ
fcis-15830	23	12	ability	ability	NOUN
fcis-15830	23	13	.	.	PUNCT
fcis-15830	24	1	the	the	DET
fcis-15830	24	2	advantage	advantage	NOUN
fcis-15830	24	3	of	of	ADP
fcis-15830	24	4	ai	ai	NOUN
fcis-15830	24	5	is	be	AUX
fcis-15830	24	6	fast	fast	ADJ
fcis-15830	24	7	and	and	CCONJ
fcis-15830	24	8	accurate	accurate	ADJ
fcis-15830	24	9	computing	computing	NOUN
fcis-15830	24	10	power	power	NOUN
fcis-15830	24	11	.	.	PUNCT
fcis-15830	25	1	the	the	DET
fcis-15830	25	2	complementary	complementary	ADJ
fcis-15830	25	3	and	and	CCONJ
fcis-15830	25	4	even	even	ADV
fcis-15830	25	5	synergies	synergy	NOUN
fcis-15830	25	6	between	between	ADP
fcis-15830	25	7	diagnostic	diagnostic	ADJ
fcis-15830	25	8	pathologists	pathologist	NOUN
fcis-15830	25	9	,	,	PUNCT
fcis-15830	25	10	veterinary	veterinary	ADJ
fcis-15830	25	11	pathologists	pathologist	NOUN
fcis-15830	25	12	,	,	PUNCT
fcis-15830	25	13	and	and	CCONJ
fcis-15830	25	14	toxicologists	toxicologist	NOUN
fcis-15830	25	15	and	and	CCONJ
fcis-15830	25	16	ai	ai	VERB
fcis-15830	25	17	could	could	AUX
fcis-15830	25	18	be	be	AUX
fcis-15830	25	19	far	far	ADV
fcis-15830	25	20	-	-	PUNCT
fcis-15830	25	21	reaching	reach	VERB
fcis-15830	25	22	.	.	PUNCT
fcis-15830	26	1	it	it	PRON
fcis-15830	26	2	has	have	VERB
fcis-15830	26	3	a	a	DET
fcis-15830	26	4	strong	strong	ADJ
fcis-15830	26	5	development	development	NOUN
fcis-15830	26	6	prospect	prospect	NOUN
fcis-15830	26	7	and	and	CCONJ
fcis-15830	26	8	practical	practical	ADJ
fcis-15830	26	9	value	value	NOUN
fcis-15830	26	10	[	[	X
fcis-15830	26	11	5	5	NUM
fcis-15830	26	12	]	]	PUNCT
fcis-15830	26	13	.	.	PUNCT
fcis-15830	27	1	for	for	ADP
fcis-15830	27	2	example	example	NOUN
fcis-15830	27	3	,	,	PUNCT
fcis-15830	27	4	diagnostic	diagnostic	ADJ
fcis-15830	27	5	pathologists	pathologist	NOUN
fcis-15830	27	6	with	with	ADP
fcis-15830	27	7	ai	ai	ADJ
fcis-15830	27	8	-	-	PUNCT
fcis-15830	27	9	assisted	assist	VERB
fcis-15830	27	10	diagnosis	diagnosis	NOUN
fcis-15830	27	11	were	be	AUX
fcis-15830	27	12	able	able	ADJ
fcis-15830	27	13	to	to	PART
fcis-15830	27	14	identify	identify	VERB
fcis-15830	27	15	metastatic	metastatic	ADJ
fcis-15830	27	16	breast	breast	NOUN
fcis-15830	27	17	cancer	cancer	NOUN
fcis-15830	27	18	cells	cell	NOUN
fcis-15830	27	19	in	in	ADP
fcis-15830	27	20	lymph	lymph	NOUN
fcis-15830	27	21	nodes	node	NOUN
fcis-15830	27	22	more	more	ADV
fcis-15830	27	23	accurately	accurately	ADV
fcis-15830	27	24	(	(	PUNCT
fcis-15830	27	25	99.5	99.5	NUM
fcis-15830	27	26	%	%	NOUN
fcis-15830	27	27	accuracy	accuracy	NOUN
fcis-15830	27	28	)	)	PUNCT
fcis-15830	27	29	than	than	SCONJ
fcis-15830	27	30	diagnostic	diagnostic	ADJ
fcis-15830	27	31	pathologists	pathologist	NOUN
fcis-15830	27	32	without	without	ADP
fcis-15830	27	33	ai	ai	ADV
fcis-15830	27	34	-	-	PUNCT
fcis-15830	27	35	assisted	assist	VERB
fcis-15830	27	36	diagnosis	diagnosis	NOUN
fcis-15830	27	37	were	be	AUX
fcis-15830	27	38	able	able	ADJ
fcis-15830	27	39	to	to	PART
fcis-15830	27	40	identify	identify	VERB
fcis-15830	27	41	metastatic	metastatic	ADJ
fcis-15830	27	42	breast	breast	NOUN
fcis-15830	27	43	cancer	cancer	NOUN
fcis-15830	27	44	cells	cell	NOUN
fcis-15830	27	45	with	with	ADP
fcis-15830	27	46	96	96	NUM
fcis-15830	27	47	%	%	NOUN
fcis-15830	27	48	accuracy	accuracy	NOUN
fcis-15830	27	49	and	and	CCONJ
fcis-15830	27	50	ai	ai	VERB
fcis-15830	27	51	alone	alone	ADV
fcis-15830	27	52	with	with	ADP
fcis-15830	27	53	92	92	NUM
fcis-15830	27	54	%	%	NOUN
fcis-15830	27	55	accuracy	accuracy	NOUN
fcis-15830	27	56	.	.	PUNCT
fcis-15830	28	1	therefore	therefore	ADV
fcis-15830	28	2	,	,	PUNCT
fcis-15830	28	3	toxicity	toxicity	NOUN
fcis-15830	28	4	pathologists	pathologist	NOUN
fcis-15830	28	5	should	should	AUX
fcis-15830	28	6	be	be	AUX
fcis-15830	28	7	aware	aware	ADJ
fcis-15830	28	8	that	that	SCONJ
fcis-15830	28	9	with	with	ADP
fcis-15830	28	10	the	the	DET
fcis-15830	28	11	emergence	emergence	NOUN
fcis-15830	28	12	of	of	ADP
fcis-15830	28	13	effective	effective	ADJ
fcis-15830	28	14	ai	ai	ADJ
fcis-15830	28	15	-	-	PUNCT
fcis-15830	28	16	assisted	assist	VERB
fcis-15830	28	17	technologies	technology	NOUN
fcis-15830	28	18	for	for	ADP
fcis-15830	28	19	non	non	ADJ
fcis-15830	28	20	-	-	ADJ
fcis-15830	28	21	clinical	clinical	ADJ
fcis-15830	28	22	safety	safety	NOUN
fcis-15830	28	23	evaluation	evaluation	NOUN
fcis-15830	28	24	of	of	ADP
fcis-15830	28	25	drugs	drug	NOUN
fcis-15830	28	26	,	,	PUNCT
fcis-15830	28	27	trial	trial	NOUN
fcis-15830	28	28	design	design	NOUN
fcis-15830	28	29	and	and	CCONJ
fcis-15830	28	30	histopathology	histopathology	NOUN
fcis-15830	28	31	workflows	workflow	NOUN
fcis-15830	28	32	for	for	ADP
fcis-15830	28	33	toxicity	toxicity	NOUN
fcis-15830	28	34	trials	trial	NOUN
fcis-15830	28	35	may	may	AUX
fcis-15830	28	36	fundamentally	fundamentally	ADV
fcis-15830	28	37	evolve	evolve	VERB
fcis-15830	28	38	in	in	ADP
fcis-15830	28	39	a	a	DET
fcis-15830	28	40	direction	direction	NOUN
fcis-15830	28	41	that	that	PRON
fcis-15830	28	42	is	be	AUX
fcis-15830	28	43	more	more	ADV
fcis-15830	28	44	favorable	favorable	ADJ
fcis-15830	28	45	to	to	ADP
fcis-15830	28	46	the	the	DET
fcis-15830	28	47	work	work	NOUN
fcis-15830	28	48	of	of	ADP
fcis-15830	28	49	toxicity	toxicity	NOUN
fcis-15830	28	50	pathologists	pathologist	NOUN
fcis-15830	28	51	.	.	PUNCT
fcis-15830	29	1	2	2	X
fcis-15830	29	2	.	.	X
fcis-15830	29	3	related	relate	VERB
fcis-15830	29	4	work	work	NOUN
fcis-15830	29	5	toxicity	toxicity	NOUN
fcis-15830	29	6	pathology	pathology	NOUN
fcis-15830	29	7	is	be	AUX
fcis-15830	29	8	an	an	DET
fcis-15830	29	9	important	important	ADJ
fcis-15830	29	10	part	part	NOUN
fcis-15830	29	11	of	of	ADP
fcis-15830	29	12	preclinical	preclinical	ADJ
fcis-15830	29	13	drug	drug	NOUN
fcis-15830	29	14	safety	safety	NOUN
fcis-15830	29	15	evaluation	evaluation	NOUN
fcis-15830	29	16	.	.	PUNCT
fcis-15830	30	1	over	over	ADP
fcis-15830	30	2	the	the	DET
fcis-15830	30	3	past	past	ADJ
fcis-15830	30	4	few	few	ADJ
fcis-15830	30	5	decades	decade	NOUN
fcis-15830	30	6	,	,	PUNCT
fcis-15830	30	7	pathology	pathology	NOUN
fcis-15830	30	8	has	have	AUX
fcis-15830	30	9	established	establish	VERB
fcis-15830	30	10	a	a	DET
fcis-15830	30	11	set	set	NOUN
fcis-15830	30	12	of	of	ADP
fcis-15830	30	13	standardized	standardized	ADJ
fcis-15830	30	14	practices	practice	NOUN
fcis-15830	30	15	,	,	PUNCT
fcis-15830	30	16	guidelines	guideline	NOUN
fcis-15830	30	17	,	,	PUNCT
fcis-15830	30	18	and/or	and/or	CCONJ
fcis-15830	30	19	industry	industry	NOUN
fcis-15830	30	20	standards	standard	NOUN
fcis-15830	30	21	as	as	ADP
fcis-15830	30	22	a	a	DET
fcis-15830	30	23	key	key	ADJ
fcis-15830	30	24	component	component	NOUN
fcis-15830	30	25	of	of	ADP
fcis-15830	30	26	preclinical	preclinical	ADJ
fcis-15830	30	27	drug	drug	NOUN
fcis-15830	30	28	safety	safety	NOUN
fcis-15830	30	29	evaluation	evaluation	NOUN
fcis-15830	30	30	.	.	PUNCT
fcis-15830	31	1	however	however	ADV
fcis-15830	31	2	,	,	PUNCT
fcis-15830	31	3	for	for	ADP
fcis-15830	31	4	the	the	DET
fcis-15830	31	5	pathologist	pathologist	NOUN
fcis-15830	31	6	,	,	PUNCT
fcis-15830	31	7	each	each	DET
fcis-15830	31	8	study	study	NOUN
fcis-15830	31	9	requires	require	VERB
fcis-15830	31	10	the	the	DET
fcis-15830	31	11	microscopic	microscopic	ADJ
fcis-15830	31	12	examination	examination	NOUN
fcis-15830	31	13	of	of	ADP
fcis-15830	31	14	100	100	NUM
fcis-15830	31	15	to	to	PART
fcis-15830	31	16	1,000	1,000	NUM
fcis-15830	31	17	tissue	tissue	NOUN
fcis-15830	31	18	sections	section	NOUN
fcis-15830	31	19	,	,	PUNCT
fcis-15830	31	20	which	which	PRON
fcis-15830	31	21	is	be	AUX
fcis-15830	31	22	a	a	DET
fcis-15830	31	23	labor	labor	NOUN
fcis-15830	31	24	-	-	PUNCT
fcis-15830	31	25	intensive	intensive	ADJ
fcis-15830	31	26	and	and	CCONJ
fcis-15830	31	27	time	time	NOUN
fcis-15830	31	28	-	-	PUNCT
fcis-15830	31	29	consuming	consume	VERB
fcis-15830	31	30	task	task	NOUN
fcis-15830	31	31	,	,	PUNCT
fcis-15830	31	32	especially	especially	ADV
fcis-15830	31	33	since	since	SCONJ
fcis-15830	31	34	most	most	ADJ
fcis-15830	31	35	tissue	tissue	NOUN
fcis-15830	31	36	organs	organ	NOUN
fcis-15830	31	37	lack	lack	VERB
fcis-15830	31	38	changes	change	NOUN
fcis-15830	31	39	associated	associate	VERB
fcis-15830	31	40	with	with	ADP
fcis-15830	31	41	the	the	DET
fcis-15830	31	42	subject	subject	NOUN
fcis-15830	31	43	matter	matter	NOUN
fcis-15830	31	44	.	.	PUNCT
fcis-15830	32	1	ai	ai	AUX
fcis-15830	32	2	and	and	CCONJ
fcis-15830	32	3	deep	deep	ADJ
fcis-15830	32	4	learning	learning	NOUN
fcis-15830	32	5	have	have	AUX
fcis-15830	32	6	shown	show	VERB
fcis-15830	32	7	great	great	ADJ
fcis-15830	32	8	advantages	advantage	NOUN
fcis-15830	32	9	in	in	ADP
fcis-15830	32	10	helping	help	VERB
fcis-15830	32	11	to	to	PART
fcis-15830	32	12	distinguish	distinguish	VERB
fcis-15830	32	13	normal	normal	ADJ
fcis-15830	32	14	samples	sample	NOUN
fcis-15830	32	15	138	138	NUM
fcis-15830	32	16	from	from	ADP
fcis-15830	32	17	abnormal	abnormal	ADJ
fcis-15830	32	18	samples	sample	NOUN
fcis-15830	32	19	,	,	PUNCT
fcis-15830	32	20	so	so	SCONJ
fcis-15830	32	21	that	that	SCONJ
fcis-15830	32	22	toxicologists	toxicologist	NOUN
fcis-15830	32	23	can	can	AUX
fcis-15830	32	24	spend	spend	VERB
fcis-15830	32	25	their	their	PRON
fcis-15830	32	26	time	time	NOUN
fcis-15830	32	27	mainly	mainly	ADV
fcis-15830	32	28	evaluating	evaluate	VERB
fcis-15830	32	29	the	the	DET
fcis-15830	32	30	pathological	pathological	ADJ
fcis-15830	32	31	characteristics	characteristic	NOUN
fcis-15830	32	32	of	of	ADP
fcis-15830	32	33	abnormal	abnormal	ADJ
fcis-15830	32	34	specimens	specimen	NOUN
fcis-15830	32	35	under	under	ADP
fcis-15830	32	36	the	the	DET
fcis-15830	32	37	microscope	microscope	NOUN
fcis-15830	32	38	,	,	PUNCT
fcis-15830	32	39	rather	rather	ADV
fcis-15830	32	40	than	than	ADP
fcis-15830	32	41	evaluating	evaluate	VERB
fcis-15830	32	42	normal	normal	ADJ
fcis-15830	32	43	tissue[6	tissue[6	NOUN
fcis-15830	32	44	-	-	PUNCT
fcis-15830	32	45	8	8	NUM
fcis-15830	32	46	]	]	PUNCT
fcis-15830	32	47	.	.	PUNCT
fcis-15830	33	1	this	this	PRON
fcis-15830	33	2	will	will	AUX
fcis-15830	33	3	reduce	reduce	VERB
fcis-15830	33	4	the	the	DET
fcis-15830	33	5	time	time	NOUN
fcis-15830	33	6	required	require	VERB
fcis-15830	33	7	for	for	ADP
fcis-15830	33	8	the	the	DET
fcis-15830	33	9	pathology	pathology	NOUN
fcis-15830	33	10	process	process	NOUN
fcis-15830	33	11	,	,	PUNCT
fcis-15830	33	12	effectively	effectively	ADV
fcis-15830	33	13	reducing	reduce	VERB
fcis-15830	33	14	the	the	DET
fcis-15830	33	15	time	time	NOUN
fcis-15830	33	16	to	to	ADP
fcis-15830	33	17	drug	drug	NOUN
fcis-15830	33	18	development	development	NOUN
fcis-15830	33	19	.	.	PUNCT
fcis-15830	34	1	in	in	ADP
fcis-15830	34	2	addition	addition	NOUN
fcis-15830	34	3	,	,	PUNCT
fcis-15830	34	4	ai	ai	VERB
fcis-15830	34	5	and	and	CCONJ
fcis-15830	34	6	deep	deep	ADJ
fcis-15830	34	7	learning	learning	NOUN
fcis-15830	34	8	help	help	NOUN
fcis-15830	34	9	reduce	reduce	VERB
fcis-15830	34	10	differences	difference	NOUN
fcis-15830	34	11	in	in	ADP
fcis-15830	34	12	the	the	DET
fcis-15830	34	13	semi	semi	ADJ
fcis-15830	34	14	-	-	ADJ
fcis-15830	34	15	quantitative	quantitative	ADJ
fcis-15830	34	16	grading	grading	NOUN
fcis-15830	34	17	of	of	ADP
fcis-15830	34	18	lesions	lesion	NOUN
fcis-15830	34	19	between	between	ADP
fcis-15830	34	20	and	and	CCONJ
fcis-15830	34	21	within	within	ADP
fcis-15830	34	22	laboratories	laboratory	NOUN
fcis-15830	34	23	.	.	PUNCT
fcis-15830	35	1	with	with	ADP
fcis-15830	35	2	the	the	DET
fcis-15830	35	3	rapid	rapid	ADJ
fcis-15830	35	4	development	development	NOUN
fcis-15830	35	5	of	of	ADP
fcis-15830	35	6	digital	digital	ADJ
fcis-15830	35	7	pathological	pathological	ADJ
fcis-15830	35	8	section	section	NOUN
fcis-15830	35	9	scanning	scan	VERB
fcis-15830	35	10	technology	technology	NOUN
fcis-15830	35	11	and	and	CCONJ
fcis-15830	35	12	ai	ai	PRON
fcis-15830	35	13	algorithm	algorithm	NOUN
fcis-15830	35	14	for	for	ADP
fcis-15830	35	15	image	image	NOUN
fcis-15830	35	16	feature	feature	NOUN
fcis-15830	35	17	extraction	extraction	NOUN
fcis-15830	35	18	,	,	PUNCT
fcis-15830	35	19	toxic	toxic	ADJ
fcis-15830	35	20	pathology	pathology	NOUN
fcis-15830	35	21	has	have	AUX
fcis-15830	35	22	also	also	ADV
fcis-15830	35	23	transitioned	transition	VERB
fcis-15830	35	24	from	from	ADP
fcis-15830	35	25	analog	analog	NOUN
fcis-15830	35	26	method	method	NOUN
fcis-15830	35	27	to	to	AUX
fcis-15830	35	28	digital	digital	ADJ
fcis-15830	35	29	method[9	method[9	NOUN
fcis-15830	35	30	]	]	PUNCT
fcis-15830	35	31	.	.	PUNCT
fcis-15830	36	1	ai	ai	VERB
fcis-15830	36	2	-	-	PUNCT
fcis-15830	36	3	based	base	VERB
fcis-15830	36	4	deep	deep	ADJ
fcis-15830	36	5	learning	learning	NOUN
fcis-15830	36	6	algorithm	algorithm	NOUN
fcis-15830	36	7	can	can	AUX
fcis-15830	36	8	automatically	automatically	ADV
fcis-15830	36	9	,	,	PUNCT
fcis-15830	36	10	high	high	ADJ
fcis-15830	36	11	-	-	PUNCT
fcis-15830	36	12	throughput	throughput	NOUN
fcis-15830	36	13	and	and	CCONJ
fcis-15830	36	14	comprehensively	comprehensively	ADV
fcis-15830	36	15	extract	extract	VERB
fcis-15830	36	16	feature	feature	NOUN
fcis-15830	36	17	data	datum	NOUN
fcis-15830	36	18	from	from	ADP
fcis-15830	36	19	images	image	NOUN
fcis-15830	36	20	,	,	PUNCT
fcis-15830	36	21	so	so	SCONJ
fcis-15830	36	22	as	as	SCONJ
fcis-15830	36	23	to	to	PART
fcis-15830	36	24	realize	realize	VERB
fcis-15830	36	25	high	high	ADJ
fcis-15830	36	26	-	-	PUNCT
fcis-15830	36	27	level	level	NOUN
fcis-15830	36	28	feature	feature	NOUN
fcis-15830	36	29	learning	learning	NOUN
fcis-15830	36	30	of	of	ADP
fcis-15830	36	31	pathological	pathological	ADJ
fcis-15830	36	32	big	big	ADJ
fcis-15830	36	33	data	datum	NOUN
fcis-15830	36	34	,	,	PUNCT
fcis-15830	36	35	and	and	CCONJ
fcis-15830	36	36	form	form	VERB
fcis-15830	36	37	more	more	ADJ
fcis-15830	36	38	abstract	abstract	ADJ
fcis-15830	36	39	high	high	ADJ
fcis-15830	36	40	-	-	PUNCT
fcis-15830	36	41	level	level	NOUN
fcis-15830	36	42	features	feature	NOUN
fcis-15830	36	43	or	or	CCONJ
fcis-15830	36	44	attribute	attribute	NOUN
fcis-15830	36	45	categories	category	NOUN
fcis-15830	36	46	by	by	ADP
fcis-15830	36	47	combining	combine	VERB
fcis-15830	36	48	lowlevel	lowlevel	NOUN
fcis-15830	36	49	features	feature	NOUN
fcis-15830	36	50	,	,	PUNCT
fcis-15830	36	51	so	so	SCONJ
fcis-15830	36	52	that	that	SCONJ
fcis-15830	36	53	the	the	DET
fcis-15830	36	54	feature	feature	NOUN
fcis-15830	36	55	expression	expression	NOUN
fcis-15830	36	56	is	be	AUX
fcis-15830	36	57	more	more	ADV
fcis-15830	36	58	comprehensive	comprehensive	ADJ
fcis-15830	36	59	and	and	CCONJ
fcis-15830	36	60	objective	objective	ADJ
fcis-15830	37	1	[	[	X
fcis-15830	37	2	10	10	NUM
fcis-15830	37	3	-	-	SYM
fcis-15830	37	4	11	11	NUM
fcis-15830	37	5	]	]	PUNCT
fcis-15830	37	6	.	.	PUNCT
fcis-15830	38	1	with	with	ADP
fcis-15830	38	2	the	the	DET
fcis-15830	38	3	development	development	NOUN
fcis-15830	38	4	of	of	ADP
fcis-15830	38	5	algorithms	algorithm	NOUN
fcis-15830	38	6	and	and	CCONJ
fcis-15830	38	7	the	the	DET
fcis-15830	38	8	in	in	ADP
fcis-15830	38	9	-	-	PUNCT
fcis-15830	38	10	depth	depth	NOUN
fcis-15830	38	11	observation	observation	NOUN
fcis-15830	38	12	of	of	ADP
fcis-15830	38	13	the	the	DET
fcis-15830	38	14	histopathology	histopathology	NOUN
fcis-15830	38	15	space	space	NOUN
fcis-15830	38	16	,	,	PUNCT
fcis-15830	38	17	ai	ai	VERB
fcis-15830	38	18	's	's	PART
fcis-15830	38	19	pathology	pathology	NOUN
fcis-15830	38	20	platform	platform	NOUN
fcis-15830	38	21	is	be	AUX
fcis-15830	38	22	becoming	become	VERB
fcis-15830	38	23	one	one	NUM
fcis-15830	38	24	of	of	ADP
fcis-15830	38	25	the	the	DET
fcis-15830	38	26	key	key	ADJ
fcis-15830	38	27	factors	factor	NOUN
fcis-15830	38	28	affecting	affect	VERB
fcis-15830	38	29	the	the	DET
fcis-15830	38	30	future	future	NOUN
fcis-15830	38	31	of	of	ADP
fcis-15830	38	32	precision	precision	NOUN
fcis-15830	38	33	and	and	CCONJ
fcis-15830	38	34	personalized	personalized	ADJ
fcis-15830	38	35	medicine	medicine	NOUN
fcis-15830	38	36	.	.	PUNCT
fcis-15830	39	1	2.1	2.1	NUM
fcis-15830	39	2	.	.	PUNCT
fcis-15830	40	1	digital	digital	ADJ
fcis-15830	40	2	pathology	pathology	PROPN
fcis-15830	40	3	digital	digital	ADJ
fcis-15830	40	4	pathology	pathology	NOUN
fcis-15830	40	5	is	be	AUX
fcis-15830	40	6	the	the	DET
fcis-15830	40	7	use	use	NOUN
fcis-15830	40	8	of	of	ADP
fcis-15830	40	9	full	full	ADJ
fcis-15830	40	10	section	section	NOUN
fcis-15830	40	11	scanner	scanner	NOUN
fcis-15830	40	12	to	to	PART
fcis-15830	40	13	digitize	digitize	VERB
fcis-15830	40	14	the	the	DET
fcis-15830	40	15	histopathological	histopathological	ADJ
fcis-15830	40	16	sections	section	NOUN
fcis-15830	40	17	,	,	PUNCT
fcis-15830	40	18	and	and	CCONJ
fcis-15830	40	19	the	the	DET
fcis-15830	40	20	use	use	NOUN
fcis-15830	40	21	of	of	ADP
fcis-15830	40	22	computational	computational	ADJ
fcis-15830	40	23	methods	method	NOUN
fcis-15830	40	24	to	to	PART
fcis-15830	40	25	analyze	analyze	VERB
fcis-15830	40	26	these	these	DET
fcis-15830	40	27	digitized	digitize	VERB
fcis-15830	40	28	section	section	NOUN
fcis-15830	40	29	images	image	NOUN
fcis-15830	40	30	.	.	PUNCT
fcis-15830	41	1	the	the	DET
fcis-15830	41	2	scanner	scanner	NOUN
fcis-15830	41	3	was	be	AUX
fcis-15830	41	4	introduced	introduce	VERB
fcis-15830	41	5	in	in	ADP
fcis-15830	41	6	1999	1999	NUM
fcis-15830	41	7	,	,	PUNCT
fcis-15830	41	8	but	but	CCONJ
fcis-15830	41	9	the	the	DET
fcis-15830	41	10	development	development	NOUN
fcis-15830	41	11	of	of	ADP
fcis-15830	41	12	digital	digital	ADJ
fcis-15830	41	13	pathology	pathology	NOUN
fcis-15830	41	14	dates	date	VERB
fcis-15830	41	15	back	back	ADV
fcis-15830	41	16	to	to	ADP
fcis-15830	41	17	the	the	DET
fcis-15830	41	18	1960s	1960	NOUN
fcis-15830	41	19	.	.	PUNCT
fcis-15830	42	1	at	at	ADP
fcis-15830	42	2	that	that	DET
fcis-15830	42	3	time	time	NOUN
fcis-15830	42	4	,	,	PUNCT
fcis-15830	42	5	prewitt	prewitt	PROPN
fcis-15830	42	6	mendelsohn	mendelsohn	PROPN
fcis-15830	42	7	invented	invent	VERB
fcis-15830	42	8	the	the	DET
fcis-15830	42	9	ability	ability	NOUN
fcis-15830	42	10	to	to	PART
fcis-15830	42	11	scan	scan	VERB
fcis-15830	42	12	simple	simple	ADJ
fcis-15830	42	13	images	image	NOUN
fcis-15830	42	14	from	from	ADP
fcis-15830	42	15	microscopic	microscopic	ADJ
fcis-15830	42	16	areas	area	NOUN
fcis-15830	42	17	of	of	ADP
fcis-15830	42	18	ordinary	ordinary	ADJ
fcis-15830	42	19	blood	blood	NOUN
fcis-15830	42	20	smears	smear	NOUN
fcis-15830	42	21	and	and	CCONJ
fcis-15830	42	22	convert	convert	VERB
fcis-15830	42	23	optical	optical	ADJ
fcis-15830	42	24	data	datum	NOUN
fcis-15830	42	25	into	into	ADP
fcis-15830	42	26	optical	optical	ADJ
fcis-15830	42	27	density	density	NOUN
fcis-15830	42	28	value	value	NOUN
fcis-15830	42	29	moments	moment	NOUN
fcis-15830	42	30	while	while	SCONJ
fcis-15830	42	31	maintaining	maintain	VERB
fcis-15830	42	32	spatial	spatial	ADJ
fcis-15830	42	33	and	and	CCONJ
fcis-15830	42	34	grayscale	grayscale	NOUN
fcis-15830	42	35	relationships	relationship	NOUN
fcis-15830	42	36	the	the	DET
fcis-15830	42	37	array	array	NOUN
fcis-15830	42	38	then	then	ADV
fcis-15830	42	39	identifies	identify	VERB
fcis-15830	42	40	the	the	DET
fcis-15830	42	41	presence	presence	NOUN
fcis-15830	42	42	of	of	ADP
fcis-15830	42	43	different	different	ADJ
fcis-15830	42	44	cell	cell	NOUN
fcis-15830	42	45	types	type	NOUN
fcis-15830	42	46	based	base	VERB
fcis-15830	42	47	on	on	ADP
fcis-15830	42	48	the	the	DET
fcis-15830	42	49	information	information	NOUN
fcis-15830	42	50	in	in	ADP
fcis-15830	42	51	the	the	DET
fcis-15830	42	52	scanned	scan	VERB
fcis-15830	42	53	images	image	NOUN
fcis-15830	42	54	.	.	PUNCT
fcis-15830	43	1	a	a	DET
fcis-15830	43	2	key	key	ADJ
fcis-15830	43	3	component	component	NOUN
fcis-15830	43	4	of	of	ADP
fcis-15830	43	5	digital	digital	ADJ
fcis-15830	43	6	pathology	pathology	NOUN
fcis-15830	43	7	is	be	AUX
fcis-15830	43	8	the	the	DET
fcis-15830	43	9	digitizing	digitizing	NOUN
fcis-15830	43	10	of	of	ADP
fcis-15830	43	11	slides	slide	NOUN
fcis-15830	43	12	into	into	ADP
fcis-15830	43	13	full	full	ADJ
fcis-15830	43	14	slide	slide	NOUN
fcis-15830	43	15	scans	scan	NOUN
fcis-15830	43	16	.	.	PUNCT
fcis-15830	44	1	scanner	scanner	NOUN
fcis-15830	44	2	parts	part	NOUN
fcis-15830	44	3	with	with	ADP
fcis-15830	44	4	microscope	microscope	NOUN
fcis-15830	44	5	.	.	PUNCT
fcis-15830	45	1	the	the	DET
fcis-15830	45	2	components	component	NOUN
fcis-15830	45	3	are	be	AUX
fcis-15830	45	4	parallel	parallel	ADJ
fcis-15830	45	5	,	,	PUNCT
fcis-15830	45	6	including	include	VERB
fcis-15830	45	7	a	a	DET
fcis-15830	45	8	light	light	ADJ
fcis-15830	45	9	source	source	NOUN
fcis-15830	45	10	,	,	PUNCT
fcis-15830	45	11	a	a	DET
fcis-15830	45	12	slide	slide	NOUN
fcis-15830	45	13	table	table	NOUN
fcis-15830	45	14	,	,	PUNCT
fcis-15830	45	15	an	an	DET
fcis-15830	45	16	objective	objective	ADJ
fcis-15830	45	17	lens	len	NOUN
fcis-15830	45	18	,	,	PUNCT
fcis-15830	45	19	and	and	CCONJ
fcis-15830	45	20	a	a	DET
fcis-15830	45	21	high	high	ADJ
fcis-15830	45	22	-	-	PUNCT
fcis-15830	45	23	resolution	resolution	NOUN
fcis-15830	45	24	digital	digital	ADJ
fcis-15830	45	25	camera	camera	NOUN
fcis-15830	45	26	.	.	PUNCT
fcis-15830	46	1	images	image	NOUN
fcis-15830	46	2	are	be	AUX
fcis-15830	46	3	typically	typically	ADV
fcis-15830	46	4	captured	capture	VERB
fcis-15830	46	5	as	as	ADP
fcis-15830	46	6	a	a	DET
fcis-15830	46	7	series	series	NOUN
fcis-15830	46	8	of	of	ADP
fcis-15830	46	9	line	line	NOUN
fcis-15830	46	10	segments	segment	NOUN
fcis-15830	46	11	or	or	CCONJ
fcis-15830	46	12	image	image	NOUN
fcis-15830	46	13	modules	module	NOUN
fcis-15830	46	14	along	along	ADP
fcis-15830	46	15	the	the	DET
fcis-15830	46	16	x	x	NOUN
fcis-15830	46	17	and	and	CCONJ
fcis-15830	46	18	y	y	PROPN
fcis-15830	46	19	planes	plane	NOUN
fcis-15830	46	20	of	of	ADP
fcis-15830	46	21	the	the	DET
fcis-15830	46	22	slide	slide	NOUN
fcis-15830	46	23	,	,	PUNCT
fcis-15830	46	24	which	which	PRON
fcis-15830	46	25	are	be	AUX
fcis-15830	46	26	then	then	ADV
fcis-15830	46	27	digitally	digitally	ADV
fcis-15830	46	28	spliced	splice	VERB
fcis-15830	46	29	together	together	ADV
fcis-15830	46	30	to	to	PART
fcis-15830	46	31	create	create	VERB
fcis-15830	46	32	the	the	DET
fcis-15830	46	33	entire	entire	ADJ
fcis-15830	46	34	slide	slide	NOUN
fcis-15830	46	35	image	image	NOUN
fcis-15830	46	36	.	.	PUNCT
fcis-15830	47	1	these	these	DET
fcis-15830	47	2	pictures	picture	NOUN
fcis-15830	47	3	or	or	CCONJ
fcis-15830	47	4	lines	line	NOUN
fcis-15830	47	5	are	be	AUX
fcis-15830	47	6	stored	store	VERB
fcis-15830	47	7	at	at	ADP
fcis-15830	47	8	different	different	ADJ
fcis-15830	47	9	resolutions	resolution	NOUN
fcis-15830	47	10	in	in	ADP
fcis-15830	47	11	several	several	ADJ
fcis-15830	47	12	images	image	NOUN
fcis-15830	47	13	of	of	ADP
fcis-15830	47	14	the	the	DET
fcis-15830	47	15	same	same	ADJ
fcis-15830	47	16	slice	slice	NOUN
fcis-15830	47	17	,	,	PUNCT
fcis-15830	47	18	and	and	CCONJ
fcis-15830	47	19	these	these	DET
fcis-15830	47	20	images	image	NOUN
fcis-15830	47	21	are	be	AUX
fcis-15830	47	22	coupled	couple	VERB
fcis-15830	47	23	together	together	ADV
fcis-15830	47	24	as	as	ADP
fcis-15830	47	25	a	a	DET
fcis-15830	47	26	pyramid	pyramid	NOUN
fcis-15830	47	27	of	of	ADP
fcis-15830	47	28	images	image	NOUN
fcis-15830	47	29	,	,	PUNCT
fcis-15830	47	30	which	which	PRON
fcis-15830	47	31	can	can	AUX
fcis-15830	47	32	support	support	VERB
fcis-15830	47	33	the	the	DET
fcis-15830	47	34	processing	processing	NOUN
fcis-15830	47	35	of	of	ADP
fcis-15830	47	36	very	very	ADV
fcis-15830	47	37	large	large	ADJ
fcis-15830	47	38	files	file	NOUN
fcis-15830	47	39	.	.	PUNCT
fcis-15830	48	1	figure	figure	NOUN
fcis-15830	48	2	1	1	NUM
fcis-15830	48	3	.	.	PUNCT
fcis-15830	49	1	digital	digital	ADJ
fcis-15830	49	2	pathology	pathology	NOUN
fcis-15830	49	3	model	model	NOUN
fcis-15830	49	4	partial	partial	ADJ
fcis-15830	49	5	download	download	NOUN
fcis-15830	49	6	also	also	ADV
fcis-15830	49	7	avoids	avoid	VERB
fcis-15830	49	8	image	image	NOUN
fcis-15830	49	9	lag	lag	NOUN
fcis-15830	49	10	when	when	SCONJ
fcis-15830	49	11	zooming	zoom	VERB
fcis-15830	49	12	in	in	ADP
fcis-15830	49	13	or	or	CCONJ
fcis-15830	49	14	out	out	ADV
fcis-15830	49	15	when	when	SCONJ
fcis-15830	49	16	the	the	DET
fcis-15830	49	17	display	display	NOUN
fcis-15830	49	18	views	view	VERB
fcis-15830	49	19	the	the	DET
fcis-15830	49	20	entire	entire	ADJ
fcis-15830	49	21	slice	slice	NOUN
fcis-15830	49	22	image	image	NOUN
fcis-15830	49	23	.	.	PUNCT
fcis-15830	50	1	one	one	NUM
fcis-15830	50	2	of	of	ADP
fcis-15830	50	3	the	the	DET
fcis-15830	50	4	biggest	big	ADJ
fcis-15830	50	5	determinants	determinant	NOUN
fcis-15830	50	6	of	of	ADP
fcis-15830	50	7	scan	scan	ADJ
fcis-15830	50	8	quality	quality	NOUN
fcis-15830	50	9	is	be	AUX
fcis-15830	50	10	slide	slide	NOUN
fcis-15830	50	11	quality	quality	NOUN
fcis-15830	50	12	.	.	PUNCT
fcis-15830	51	1	the	the	DET
fcis-15830	51	2	whole	whole	ADJ
fcis-15830	51	3	slide	slide	NOUN
fcis-15830	51	4	scanner	scanner	NOUN
fcis-15830	51	5	the	the	DET
fcis-15830	51	6	degree	degree	NOUN
fcis-15830	51	7	of	of	ADP
fcis-15830	51	8	tolerance	tolerance	NOUN
fcis-15830	51	9	for	for	ADP
fcis-15830	51	10	defects	defect	NOUN
fcis-15830	51	11	in	in	ADP
fcis-15830	51	12	slide	slide	NOUN
fcis-15830	51	13	preparation	preparation	NOUN
fcis-15830	51	14	is	be	AUX
fcis-15830	51	15	much	much	ADV
fcis-15830	51	16	lower	low	ADJ
fcis-15830	51	17	than	than	ADP
fcis-15830	51	18	for	for	ADP
fcis-15830	51	19	human	human	ADJ
fcis-15830	51	20	observers	observer	NOUN
fcis-15830	51	21	,	,	PUNCT
fcis-15830	51	22	and	and	CCONJ
fcis-15830	51	23	the	the	DET
fcis-15830	51	24	quality	quality	NOUN
fcis-15830	51	25	of	of	ADP
fcis-15830	51	26	the	the	DET
fcis-15830	51	27	scan	scan	NOUN
fcis-15830	51	28	can	can	AUX
fcis-15830	51	29	be	be	AUX
fcis-15830	51	30	affected	affect	VERB
fcis-15830	51	31	by	by	ADP
fcis-15830	51	32	uneven	uneven	ADJ
fcis-15830	51	33	sections	section	NOUN
fcis-15830	51	34	,	,	PUNCT
fcis-15830	51	35	tissue	tissue	NOUN
fcis-15830	51	36	folding	folding	NOUN
fcis-15830	51	37	,	,	PUNCT
fcis-15830	51	38	compression	compression	NOUN
fcis-15830	51	39	,	,	PUNCT
fcis-15830	51	40	tearing	tear	VERB
fcis-15830	51	41	,	,	PUNCT
fcis-15830	51	42	over	over	ADV
fcis-15830	51	43	or	or	CCONJ
fcis-15830	51	44	under	under	ADP
fcis-15830	51	45	staining	stain	VERB
fcis-15830	51	46	,	,	PUNCT
fcis-15830	51	47	changes	change	NOUN
fcis-15830	51	48	in	in	ADP
fcis-15830	51	49	staining	stain	VERB
fcis-15830	51	50	intensity	intensity	NOUN
fcis-15830	51	51	,	,	PUNCT
fcis-15830	51	52	and	and	CCONJ
fcis-15830	51	53	batch	batch	VERB
fcis-15830	51	54	changes	change	NOUN
fcis-15830	51	55	.	.	PUNCT
fcis-15830	52	1	2.2	2.2	NUM
fcis-15830	52	2	.	.	PUNCT
fcis-15830	52	3	algorithm	algorithm	NOUN
fcis-15830	52	4	classification	classification	NOUN
fcis-15830	52	5	because	because	SCONJ
fcis-15830	52	6	deep	deep	ADJ
fcis-15830	52	7	learning	learning	NOUN
fcis-15830	52	8	methods	method	NOUN
fcis-15830	52	9	do	do	AUX
fcis-15830	52	10	not	not	PART
fcis-15830	52	11	rely	rely	VERB
fcis-15830	52	12	on	on	ADP
fcis-15830	52	13	engineering	engineering	NOUN
fcis-15830	52	14	features	feature	NOUN
fcis-15830	52	15	and	and	CCONJ
fcis-15830	52	16	can	can	AUX
fcis-15830	52	17	learn	learn	VERB
fcis-15830	52	18	representations	representation	NOUN
fcis-15830	52	19	directly	directly	ADV
fcis-15830	52	20	from	from	ADP
fcis-15830	52	21	raw	raw	ADJ
fcis-15830	52	22	data	datum	NOUN
fcis-15830	52	23	,	,	PUNCT
fcis-15830	52	24	they	they	PRON
fcis-15830	52	25	are	be	AUX
fcis-15830	52	26	increasingly	increasingly	ADV
fcis-15830	52	27	used	use	VERB
fcis-15830	52	28	in	in	ADP
fcis-15830	52	29	the	the	DET
fcis-15830	52	30	field	field	NOUN
fcis-15830	52	31	of	of	ADP
fcis-15830	52	32	digital	digital	ADJ
fcis-15830	52	33	pathology	pathology	NOUN
fcis-15830	52	34	.	.	PUNCT
fcis-15830	53	1	deep	deep	ADJ
fcis-15830	53	2	learning	learning	NOUN
fcis-15830	53	3	methods	method	NOUN
fcis-15830	53	4	typically	typically	ADV
fcis-15830	53	5	involve	involve	VERB
fcis-15830	53	6	learning	learn	VERB
fcis-15830	53	7	a	a	DET
fcis-15830	53	8	set	set	NOUN
fcis-15830	53	9	of	of	ADP
fcis-15830	53	10	images	image	NOUN
fcis-15830	53	11	labeled	label	VERB
fcis-15830	53	12	with	with	ADP
fcis-15830	53	13	relevant	relevant	ADJ
fcis-15830	53	14	categories	category	NOUN
fcis-15830	53	15	(	(	PUNCT
fcis-15830	53	16	such	such	ADJ
fcis-15830	53	17	as	as	ADP
fcis-15830	53	18	whether	whether	SCONJ
fcis-15830	53	19	a	a	DET
fcis-15830	53	20	tumor	tumor	NOUN
fcis-15830	53	21	is	be	AUX
fcis-15830	53	22	benign	benign	ADJ
fcis-15830	53	23	or	or	CCONJ
fcis-15830	53	24	malignant	malignant	ADJ
fcis-15830	53	25	)	)	PUNCT
fcis-15830	53	26	and	and	CCONJ
fcis-15830	53	27	then	then	ADV
fcis-15830	53	28	asking	ask	VERB
fcis-15830	53	29	for	for	ADP
fcis-15830	53	30	new	new	ADJ
fcis-15830	53	31	input	input	NOUN
fcis-15830	53	32	data	datum	NOUN
fcis-15830	53	33	for	for	ADP
fcis-15830	53	34	interpretation	interpretation	NOUN
fcis-15830	53	35	without	without	ADP
fcis-15830	53	36	presetting	presette	VERB
fcis-15830	53	37	assumptions	assumption	NOUN
fcis-15830	53	38	.	.	PUNCT
fcis-15830	54	1	this	this	DET
fcis-15830	54	2	process	process	NOUN
fcis-15830	54	3	involves	involve	VERB
fcis-15830	54	4	generating	generate	VERB
fcis-15830	54	5	images	image	NOUN
fcis-15830	54	6	and	and	CCONJ
fcis-15830	54	7	subsequently	subsequently	ADV
fcis-15830	54	8	learning	learn	VERB
fcis-15830	54	9	image	image	NOUN
fcis-15830	54	10	features	feature	NOUN
fcis-15830	54	11	to	to	PART
fcis-15830	54	12	separate	separate	VERB
fcis-15830	54	13	out	out	ADP
fcis-15830	54	14	the	the	DET
fcis-15830	54	15	categories	category	NOUN
fcis-15830	54	16	of	of	ADP
fcis-15830	54	17	interest	interest	NOUN
fcis-15830	54	18	.	.	PUNCT
fcis-15830	55	1	compared	compare	VERB
fcis-15830	55	2	with	with	ADP
fcis-15830	55	3	the	the	DET
fcis-15830	55	4	manual	manual	ADJ
fcis-15830	55	5	extraction	extraction	NOUN
fcis-15830	55	6	of	of	ADP
fcis-15830	55	7	image	image	NOUN
fcis-15830	55	8	features	feature	NOUN
fcis-15830	55	9	,	,	PUNCT
fcis-15830	55	10	the	the	DET
fcis-15830	55	11	method	method	NOUN
fcis-15830	55	12	based	base	VERB
fcis-15830	55	13	on	on	ADP
fcis-15830	55	14	deep	deep	ADJ
fcis-15830	55	15	learning	learning	NOUN
fcis-15830	55	16	is	be	AUX
fcis-15830	55	17	widely	widely	ADV
fcis-15830	55	18	used	use	VERB
fcis-15830	55	19	and	and	CCONJ
fcis-15830	55	20	its	its	PRON
fcis-15830	55	21	results	result	NOUN
fcis-15830	55	22	are	be	AUX
fcis-15830	55	23	more	more	ADV
fcis-15830	55	24	accurate	accurate	ADJ
fcis-15830	55	25	.	.	PUNCT
fcis-15830	56	1	as	as	ADP
fcis-15830	56	2	a	a	DET
fcis-15830	56	3	result	result	NOUN
fcis-15830	56	4	,	,	PUNCT
fcis-15830	56	5	many	many	ADJ
fcis-15830	56	6	deep	deep	ADJ
fcis-15830	56	7	learning	learning	NOUN
fcis-15830	56	8	models	model	NOUN
fcis-15830	56	9	,	,	PUNCT
fcis-15830	56	10	or	or	CCONJ
fcis-15830	56	11	algorithms	algorithm	NOUN
fcis-15830	56	12	for	for	ADP
fcis-15830	56	13	analyzing	analyze	VERB
fcis-15830	56	14	pathological	pathological	ADJ
fcis-15830	56	15	images	image	NOUN
fcis-15830	56	16	have	have	AUX
fcis-15830	56	17	been	be	AUX
fcis-15830	56	18	developed	develop	VERB
fcis-15830	56	19	and	and	CCONJ
fcis-15830	56	20	utilized	utilize	VERB
fcis-15830	56	21	.	.	PUNCT
fcis-15830	57	1	2.2.1	2.2.1	NUM
fcis-15830	57	2	.	.	PUNCT
fcis-15830	57	3	convolutional	convolutional	ADJ
fcis-15830	57	4	neural	neural	ADJ
fcis-15830	57	5	networks	network	NOUN
fcis-15830	57	6	(	(	PUNCT
fcis-15830	57	7	cnn	cnn	PROPN
fcis-15830	57	8	)	)	PUNCT
fcis-15830	57	9	cnn	cnn	PROPN
fcis-15830	57	10	is	be	AUX
fcis-15830	57	11	the	the	DET
fcis-15830	57	12	most	most	ADV
fcis-15830	57	13	widely	widely	ADV
fcis-15830	57	14	used	use	VERB
fcis-15830	57	15	deep	deep	ADJ
fcis-15830	57	16	learning	learn	VERB
fcis-15830	57	17	algorithm	algorithm	NOUN
fcis-15830	57	18	to	to	ADP
fcis-15830	57	19	date	date	NOUN
fcis-15830	57	20	:	:	PUNCT
fcis-15830	57	21	and	and	CCONJ
fcis-15830	57	22	has	have	AUX
fcis-15830	57	23	been	be	AUX
fcis-15830	57	24	applied	apply	VERB
fcis-15830	57	25	to	to	ADP
fcis-15830	57	26	a	a	DET
fcis-15830	57	27	variety	variety	NOUN
fcis-15830	57	28	of	of	ADP
fcis-15830	57	29	pathological	pathological	ADJ
fcis-15830	57	30	image	image	NOUN
fcis-15830	57	31	analysis	analysis	NOUN
fcis-15830	57	32	.	.	PUNCT
fcis-15830	58	1	a	a	DET
fcis-15830	58	2	cnn	cnn	PROPN
fcis-15830	58	3	is	be	AUX
fcis-15830	58	4	a	a	DET
fcis-15830	58	5	deep	deep	ADJ
fcis-15830	58	6	feedforward	feedforward	NOUN
fcis-15830	58	7	network	network	NOUN
fcis-15830	58	8	that	that	PRON
fcis-15830	58	9	contains	contain	VERB
fcis-15830	58	10	multiple	multiple	ADJ
fcis-15830	58	11	layers	layer	NOUN
fcis-15830	58	12	that	that	PRON
fcis-15830	58	13	infer	infer	VERB
fcis-15830	58	14	outputs	output	NOUN
fcis-15830	58	15	(	(	PUNCT
fcis-15830	58	16	usually	usually	ADV
fcis-15830	58	17	decision	decision	NOUN
fcis-15830	58	18	categories	category	NOUN
fcis-15830	58	19	)	)	PUNCT
fcis-15830	58	20	from	from	ADP
fcis-15830	58	21	inputs	input	NOUN
fcis-15830	58	22	(	(	PUNCT
fcis-15830	58	23	such	such	ADJ
fcis-15830	58	24	as	as	ADP
fcis-15830	58	25	images	image	NOUN
fcis-15830	58	26	)	)	PUNCT
fcis-15830	58	27	.	.	PUNCT
fcis-15830	59	1	the	the	DET
fcis-15830	59	2	reason	reason	NOUN
fcis-15830	59	3	for	for	ADP
fcis-15830	59	4	the	the	DET
fcis-15830	59	5	name	name	NOUN
fcis-15830	59	6	is	be	AUX
fcis-15830	59	7	that	that	SCONJ
fcis-15830	59	8	there	there	PRON
fcis-15830	59	9	are	be	VERB
fcis-15830	59	10	multiple	multiple	ADJ
fcis-15830	59	11	convolutional	convolutional	ADJ
fcis-15830	59	12	layers	layer	NOUN
fcis-15830	59	13	in	in	ADP
fcis-15830	59	14	the	the	DET
fcis-15830	59	15	cnn	cnn	PROPN
fcis-15830	59	16	,	,	PUNCT
fcis-15830	59	17	which	which	PRON
fcis-15830	59	18	are	be	AUX
fcis-15830	59	19	the	the	DET
fcis-15830	59	20	building	building	NOUN
fcis-15830	59	21	blocks	block	NOUN
fcis-15830	59	22	of	of	ADP
fcis-15830	59	23	the	the	DET
fcis-15830	59	24	cnn	cnn	PROPN
fcis-15830	59	25	.	.	PUNCT
fcis-15830	60	1	in	in	ADP
fcis-15830	60	2	a	a	DET
fcis-15830	60	3	cnn	cnn	NOUN
fcis-15830	60	4	,	,	PUNCT
fcis-15830	60	5	filters	filter	NOUN
fcis-15830	60	6	between	between	ADP
fcis-15830	60	7	the	the	DET
fcis-15830	60	8	input	input	NOUN
fcis-15830	60	9	layer	layer	NOUN
fcis-15830	60	10	and	and	CCONJ
fcis-15830	60	11	the	the	DET
fcis-15830	60	12	output	output	NOUN
fcis-15830	60	13	layer	layer	NOUN
fcis-15830	60	14	learn	learn	VERB
fcis-15830	60	15	and	and	CCONJ
fcis-15830	60	16	extract	extract	VERB
fcis-15830	60	17	features	feature	NOUN
fcis-15830	60	18	from	from	ADP
fcis-15830	60	19	the	the	DET
fcis-15830	60	20	image	image	NOUN
fcis-15830	60	21	.	.	PUNCT
fcis-15830	61	1	the	the	DET
fcis-15830	61	2	layers	layer	NOUN
fcis-15830	61	3	in	in	ADP
fcis-15830	61	4	the	the	DET
fcis-15830	61	5	cnn	cnn	PROPN
fcis-15830	61	6	are	be	AUX
fcis-15830	61	7	not	not	PART
fcis-15830	61	8	fully	fully	ADV
fcis-15830	61	9	connected	connect	VERB
fcis-15830	61	10	,	,	PUNCT
fcis-15830	61	11	and	and	CCONJ
fcis-15830	61	12	the	the	DET
fcis-15830	61	13	neurons	neuron	NOUN
fcis-15830	61	14	in	in	ADP
fcis-15830	61	15	layer	layer	NOUN
fcis-15830	61	16	1	1	NUM
fcis-15830	61	17	only	only	ADV
fcis-15830	61	18	interact	interact	VERB
fcis-15830	61	19	with	with	ADP
fcis-15830	61	20	the	the	DET
fcis-15830	61	21	fixed	fix	VERB
fcis-15830	61	22	region	region	NOUN
fcis-15830	61	23	of	of	ADP
fcis-15830	61	24	the	the	DET
fcis-15830	61	25	upper	upper	ADJ
fcis-15830	61	26	layer	layer	NOUN
fcis-15830	61	27	,	,	PUNCT
fcis-15830	61	28	rather	rather	ADV
fcis-15830	61	29	than	than	ADP
fcis-15830	61	30	with	with	ADP
fcis-15830	61	31	all	all	DET
fcis-15830	61	32	neurons	neuron	NOUN
fcis-15830	61	33	.	.	PUNCT
fcis-15830	62	1	cnns	cnns	PROPN
fcis-15830	62	2	also	also	ADV
fcis-15830	62	3	contain	contain	VERB
fcis-15830	62	4	a	a	DET
fcis-15830	62	5	pooling	pool	VERB
fcis-15830	62	6	layer	layer	NOUN
fcis-15830	62	7	,	,	PUNCT
fcis-15830	62	8	whose	whose	DET
fcis-15830	62	9	main	main	ADJ
fcis-15830	62	10	function	function	NOUN
fcis-15830	62	11	is	be	AUX
fcis-15830	62	12	to	to	PART
fcis-15830	62	13	reduce	reduce	VERB
fcis-15830	62	14	or	or	CCONJ
fcis-15830	62	15	reduce	reduce	VERB
fcis-15830	62	16	the	the	DET
fcis-15830	62	17	dimension	dimension	NOUN
fcis-15830	62	18	of	of	ADP
fcis-15830	62	19	features	feature	NOUN
fcis-15830	62	20	.	.	PUNCT
fcis-15830	63	1	cnn	cnn	PROPN
fcis-15830	63	2	works	work	VERB
fcis-15830	63	3	by	by	ADP
fcis-15830	63	4	deconstructing	deconstruct	VERB
fcis-15830	63	5	an	an	DET
fcis-15830	63	6	image	image	NOUN
fcis-15830	63	7	in	in	ADP
fcis-15830	63	8	layers	layer	NOUN
fcis-15830	63	9	into	into	ADP
fcis-15830	63	10	low	low	ADJ
fcis-15830	63	11	-	-	PUNCT
fcis-15830	63	12	level	level	NOUN
fcis-15830	63	13	clues	clue	NOUN
fcis-15830	63	14	(	(	PUNCT
fcis-15830	63	15	such	such	ADJ
fcis-15830	63	16	as	as	ADP
fcis-15830	63	17	edges	edge	NOUN
fcis-15830	63	18	,	,	PUNCT
fcis-15830	63	19	curves	curve	NOUN
fcis-15830	63	20	,	,	PUNCT
fcis-15830	63	21	or	or	CCONJ
fcis-15830	63	22	shapes	shape	NOUN
fcis-15830	63	23	)	)	PUNCT
fcis-15830	63	24	and	and	CCONJ
fcis-15830	63	25	then	then	ADV
fcis-15830	63	26	clustering	cluster	VERB
fcis-15830	63	27	these	these	DET
fcis-15830	63	28	clues	clue	NOUN
fcis-15830	63	29	to	to	PART
fcis-15830	63	30	form	form	VERB
fcis-15830	63	31	higher	high	ADJ
fcis-15830	63	32	-	-	PUNCT
fcis-15830	63	33	order	order	NOUN
fcis-15830	63	34	structural	structural	ADJ
fcis-15830	63	35	relationships	relationship	NOUN
fcis-15830	63	36	that	that	PRON
fcis-15830	63	37	identify	identify	VERB
fcis-15830	63	38	features	feature	NOUN
fcis-15830	63	39	of	of	ADP
fcis-15830	63	40	interest	interest	NOUN
fcis-15830	63	41	.	.	PUNCT
fcis-15830	64	1	currently	currently	ADV
fcis-15830	64	2	,	,	PUNCT
fcis-15830	64	3	cnn	cnn	PROPN
fcis-15830	64	4	deep	deep	ADV
fcis-15830	64	5	learning	learning	NOUN
fcis-15830	64	6	based	base	VERB
fcis-15830	64	7	methods	method	NOUN
fcis-15830	64	8	have	have	AUX
fcis-15830	64	9	been	be	AUX
fcis-15830	64	10	used	use	VERB
fcis-15830	64	11	for	for	ADP
fcis-15830	64	12	image	image	NOUN
fcis-15830	64	13	detection	detection	NOUN
fcis-15830	64	14	and	and	CCONJ
fcis-15830	64	15	segmentation	segmentation	NOUN
fcis-15830	64	16	tasks	task	NOUN
fcis-15830	64	17	to	to	PART
fcis-15830	64	18	identify	identify	VERB
fcis-15830	64	19	and	and	CCONJ
fcis-15830	64	20	quantify	quantify	VERB
fcis-15830	64	21	cells	cell	NOUN
fcis-15830	64	22	(	(	PUNCT
fcis-15830	64	23	such	such	ADJ
fcis-15830	64	24	as	as	ADP
fcis-15830	64	25	neutrophils	neutrophil	NOUN
fcis-15830	64	26	,	,	PUNCT
fcis-15830	64	27	lymphocytes	lymphocyte	NOUN
fcis-15830	64	28	,	,	PUNCT
fcis-15830	64	29	and	and	CCONJ
fcis-15830	64	30	primitive	primitive	ADJ
fcis-15830	64	31	cells	cell	NOUN
fcis-15830	64	32	)	)	PUNCT
fcis-15830	64	33	,	,	PUNCT
fcis-15830	64	34	histological	histological	ADJ
fcis-15830	64	35	features	feature	NOUN
fcis-15830	64	36	(	(	PUNCT
fcis-15830	64	37	such	such	ADJ
fcis-15830	64	38	as	as	ADP
fcis-15830	64	39	nuclear	nuclear	ADJ
fcis-15830	64	40	morphology	morphology	NOUN
fcis-15830	64	41	,	,	PUNCT
fcis-15830	64	42	mitotic	mitotic	ADJ
fcis-15830	64	43	image	image	NOUN
fcis-15830	64	44	morphology	morphology	NOUN
fcis-15830	64	45	,	,	PUNCT
fcis-15830	64	46	stromal	stromal	ADJ
fcis-15830	64	47	,	,	PUNCT
fcis-15830	64	48	and	and	CCONJ
fcis-15830	64	49	glandular	glandular	ADJ
fcis-15830	64	50	structures	structure	NOUN
fcis-15830	64	51	)	)	PUNCT
fcis-15830	64	52	,	,	PUNCT
fcis-15830	64	53	and	and	CCONJ
fcis-15830	64	54	areas	area	NOUN
fcis-15830	64	55	of	of	ADP
fcis-15830	64	56	interest	interest	NOUN
fcis-15830	64	57	(	(	PUNCT
fcis-15830	64	58	such	such	ADJ
fcis-15830	64	59	as	as	ADP
fcis-15830	64	60	tumors	tumor	NOUN
fcis-15830	64	61	and	and	CCONJ
fcis-15830	64	62	peri	peri	PROPN
fcis-15830	64	63	-	-	PUNCT
fcis-15830	64	64	tumor	tumor	NOUN
fcis-15830	64	65	areas	area	NOUN
fcis-15830	64	66	)	)	PUNCT
fcis-15830	64	67	.	.	PUNCT
fcis-15830	65	1	2.2.2	2.2.2	X
fcis-15830	65	2	.	.	PUNCT
fcis-15830	65	3	complete	complete	ADJ
fcis-15830	65	4	convolutional	convolutional	ADJ
fcis-15830	65	5	network	network	NOUN
fcis-15830	65	6	(	(	PUNCT
fcis-15830	65	7	fcn	fcn	PROPN
fcis-15830	65	8	)	)	PUNCT
fcis-15830	65	9	another	another	DET
fcis-15830	65	10	common	common	ADJ
fcis-15830	65	11	deep	deep	ADJ
fcis-15830	65	12	learning	learning	NOUN
fcis-15830	65	13	model	model	NOUN
fcis-15830	65	14	is	be	AUX
fcis-15830	65	15	fcn	fcn	PROPN
fcis-15830	65	16	,	,	PUNCT
fcis-15830	65	17	which	which	PRON
fcis-15830	65	18	lacks	lack	VERB
fcis-15830	65	19	fully	fully	ADV
fcis-15830	65	20	connected	connect	VERB
fcis-15830	65	21	layers	layer	NOUN
fcis-15830	65	22	and	and	CCONJ
fcis-15830	65	23	consists	consist	VERB
fcis-15830	65	24	only	only	ADV
fcis-15830	65	25	of	of	ADP
fcis-15830	65	26	a	a	DET
fcis-15830	65	27	hierarchical	hierarchical	ADJ
fcis-15830	65	28	structure	structure	NOUN
fcis-15830	65	29	of	of	ADP
fcis-15830	65	30	convolutional	convolutional	ADJ
fcis-15830	65	31	layers	layer	NOUN
fcis-15830	65	32	.	.	PUNCT
fcis-15830	66	1	unlike	unlike	ADP
fcis-15830	66	2	cnn	cnn	PROPN
fcis-15830	66	3	,	,	PUNCT
fcis-15830	66	4	which	which	PRON
fcis-15830	66	5	uses	use	VERB
fcis-15830	66	6	local	local	ADJ
fcis-15830	66	7	information	information	NOUN
fcis-15830	66	8	to	to	PART
fcis-15830	66	9	make	make	VERB
fcis-15830	66	10	global	global	ADJ
fcis-15830	66	11	predictions	prediction	NOUN
fcis-15830	66	12	,	,	PUNCT
fcis-15830	66	13	fcn	fcn	PROPN
fcis-15830	66	14	can	can	AUX
fcis-15830	66	15	learn	learn	VERB
fcis-15830	66	16	from	from	ADP
fcis-15830	66	17	each	each	DET
fcis-15830	66	18	pixel	pixel	NOUN
fcis-15830	66	19	learning	learn	VERB
fcis-15830	66	20	feature	feature	NOUN
fcis-15830	66	21	representation	representation	NOUN
fcis-15830	66	22	.	.	PUNCT
fcis-15830	67	1	therefore	therefore	ADV
fcis-15830	67	2	,	,	PUNCT
fcis-15830	67	3	it	it	PRON
fcis-15830	67	4	is	be	AUX
fcis-15830	67	5	possible	possible	ADJ
fcis-15830	67	6	to	to	PART
fcis-15830	67	7	detect	detect	VERB
fcis-15830	67	8	elements	element	NOUN
fcis-15830	67	9	or	or	CCONJ
fcis-15830	67	10	features	feature	NOUN
fcis-15830	67	11	that	that	PRON
fcis-15830	67	12	appear	appear	VERB
fcis-15830	67	13	sparsely	sparsely	ADV
fcis-15830	67	14	throughout	throughout	ADP
fcis-15830	67	15	the	the	DET
fcis-15830	67	16	pathological	pathological	ADJ
fcis-15830	67	17	image	image	NOUN
fcis-15830	67	18	.	.	PUNCT
fcis-15830	68	1	this	this	DET
fcis-15830	68	2	feature	feature	NOUN
fcis-15830	68	3	allows	allow	VERB
fcis-15830	68	4	fcn	fcn	PROPN
fcis-15830	68	5	to	to	PART
fcis-15830	68	6	make	make	VERB
fcis-15830	68	7	pixel	pixel	ADJ
fcis-15830	68	8	-	-	PUNCT
fcis-15830	68	9	level	level	NOUN
fcis-15830	68	10	predictions	prediction	NOUN
fcis-15830	68	11	,	,	PUNCT
fcis-15830	68	12	which	which	PRON
fcis-15830	68	13	may	may	AUX
fcis-15830	68	14	be	be	AUX
fcis-15830	68	15	an	an	DET
fcis-15830	68	16	advantage	advantage	NOUN
fcis-15830	68	17	for	for	ADP
fcis-15830	68	18	fcn	fcn	NOUN
fcis-15830	68	19	compared	compare	VERB
fcis-15830	68	20	to	to	ADP
fcis-15830	68	21	cnn	cnn	PROPN
fcis-15830	68	22	learning	learn	VERB
fcis-15830	68	23	from	from	ADP
fcis-15830	68	24	repeated	repeat	VERB
fcis-15830	68	25	features	feature	NOUN
fcis-15830	68	26	that	that	PRON
fcis-15830	68	27	appear	appear	VERB
fcis-15830	68	28	throughout	throughout	ADP
fcis-15830	68	29	the	the	DET
fcis-15830	68	30	image	image	NOUN
fcis-15830	68	31	.	.	PUNCT
fcis-15830	69	1	some	some	DET
fcis-15830	69	2	researchers	researcher	NOUN
fcis-15830	69	3	have	have	AUX
fcis-15830	69	4	used	use	VERB
fcis-15830	69	5	fcn	fcn	PROPN
fcis-15830	69	6	to	to	PART
fcis-15830	69	7	improve	improve	VERB
fcis-15830	69	8	the	the	DET
fcis-15830	69	9	efficiency	efficiency	NOUN
fcis-15830	69	10	of	of	ADP
fcis-15830	69	11	cervical	cervical	ADJ
fcis-15830	69	12	exfoliation	exfoliation	NOUN
fcis-15830	69	13	cytology	cytology	NOUN
fcis-15830	69	14	screening	screening	NOUN
fcis-15830	69	15	,	,	PUNCT
fcis-15830	69	16	especially	especially	ADV
fcis-15830	69	17	in	in	ADP
fcis-15830	69	18	the	the	DET
fcis-15830	69	19	detection	detection	NOUN
fcis-15830	69	20	of	of	ADP
fcis-15830	69	21	abnormal	abnormal	ADJ
fcis-15830	69	22	cells	cell	NOUN
fcis-15830	69	23	.	.	PUNCT
fcis-15830	70	1	139	139	NUM
fcis-15830	70	2	figure	figure	NOUN
fcis-15830	70	3	2	2	NUM
fcis-15830	70	4	.	.	PUNCT
fcis-15830	71	1	digital	digital	PROPN
fcis-15830	71	2	cnn	cnn	PROPN
fcis-15830	71	3	structure	structure	NOUN
fcis-15830	71	4	figure	figure	NOUN
fcis-15830	71	5	3	3	NUM
fcis-15830	71	6	.	.	PUNCT
fcis-15830	72	1	digital	digital	PROPN
fcis-15830	72	2	fcn	fcn	PROPN
fcis-15830	72	3	structure	structure	NOUN
fcis-15830	72	4	2.2.3	2.2.3	NUM
fcis-15830	72	5	.	.	PUNCT
fcis-15830	73	1	recurrent	recurrent	ADJ
fcis-15830	73	2	neural	neural	ADJ
fcis-15830	73	3	network	network	NOUN
fcis-15830	73	4	(	(	PUNCT
fcis-15830	73	5	rnn	rnn	PROPN
fcis-15830	73	6	)	)	PUNCT
fcis-15830	73	7	unlike	unlike	ADP
fcis-15830	73	8	cnns	cnn	NOUN
fcis-15830	73	9	and	and	CCONJ
fcis-15830	73	10	fcn	fcn	PROPN
fcis-15830	73	11	,	,	PUNCT
fcis-15830	73	12	rnns	rnn	NOUN
fcis-15830	73	13	are	be	AUX
fcis-15830	73	14	not	not	PART
fcis-15830	73	15	limited	limit	VERB
fcis-15830	73	16	to	to	ADP
fcis-15830	73	17	analyzing	analyze	VERB
fcis-15830	73	18	data	datum	NOUN
fcis-15830	73	19	at	at	ADP
fcis-15830	73	20	a	a	DET
fcis-15830	73	21	single	single	ADJ
fcis-15830	73	22	time	time	NOUN
fcis-15830	73	23	,	,	PUNCT
fcis-15830	73	24	but	but	CCONJ
fcis-15830	73	25	can	can	AUX
fcis-15830	73	26	store	store	VERB
fcis-15830	73	27	inputs	input	NOUN
fcis-15830	73	28	at	at	ADP
fcis-15830	73	29	different	different	ADJ
fcis-15830	73	30	time	time	NOUN
fcis-15830	73	31	intervals	interval	NOUN
fcis-15830	73	32	or	or	CCONJ
fcis-15830	73	33	points	point	NOUN
fcis-15830	73	34	in	in	ADP
fcis-15830	73	35	time	time	NOUN
fcis-15830	73	36	and	and	CCONJ
fcis-15830	73	37	process	process	VERB
fcis-15830	73	38	these	these	DET
fcis-15830	73	39	inputs	input	NOUN
fcis-15830	73	40	sequentially	sequentially	ADV
fcis-15830	73	41	,	,	PUNCT
fcis-15830	73	42	that	that	ADV
fcis-15830	73	43	is	is	ADV
fcis-15830	73	44	,	,	PUNCT
fcis-15830	73	45	learning	learn	VERB
fcis-15830	73	46	from	from	ADP
fcis-15830	73	47	discrete	discrete	ADJ
fcis-15830	73	48	earlier	early	ADJ
fcis-15830	73	49	steps	step	NOUN
fcis-15830	73	50	.	.	PUNCT
fcis-15830	74	1	rnns	rnn	NOUN
fcis-15830	74	2	take	take	VERB
fcis-15830	74	3	into	into	ADP
fcis-15830	74	4	account	account	NOUN
fcis-15830	74	5	input	input	NOUN
fcis-15830	74	6	states	state	NOUN
fcis-15830	74	7	at	at	ADP
fcis-15830	74	8	different	different	ADJ
fcis-15830	74	9	points	point	NOUN
fcis-15830	74	10	in	in	ADP
fcis-15830	74	11	time	time	NOUN
fcis-15830	74	12	and	and	CCONJ
fcis-15830	74	13	therefore	therefore	ADV
fcis-15830	74	14	exhibit	exhibit	VERB
fcis-15830	74	15	dynamic	dynamic	ADJ
fcis-15830	74	16	behavior	behavior	NOUN
fcis-15830	74	17	.	.	PUNCT
fcis-15830	75	1	long	long	ADJ
fcis-15830	75	2	short	short	ADJ
fcis-15830	75	3	-	-	PUNCT
fcis-15830	75	4	term	term	NOUN
fcis-15830	75	5	memory	memory	NOUN
fcis-15830	75	6	network	network	NOUN
fcis-15830	75	7	(	(	PUNCT
fcis-15830	75	8	lstm	lstm	PROPN
fcis-15830	75	9	)	)	PUNCT
fcis-15830	75	10	is	be	AUX
fcis-15830	75	11	a	a	DET
fcis-15830	75	12	type	type	NOUN
fcis-15830	75	13	of	of	ADP
fcis-15830	75	14	rnn	rnn	NOUN
fcis-15830	75	15	that	that	PRON
fcis-15830	75	16	is	be	AUX
fcis-15830	75	17	enhanced	enhance	VERB
fcis-15830	75	18	by	by	ADP
fcis-15830	75	19	the	the	DET
fcis-15830	75	20	existence	existence	NOUN
fcis-15830	75	21	of	of	ADP
fcis-15830	75	22	loop	loop	NOUN
fcis-15830	75	23	gates	gate	NOUN
fcis-15830	75	24	,	,	PUNCT
fcis-15830	75	25	that	that	ADV
fcis-15830	75	26	is	is	ADV
fcis-15830	75	27	,	,	PUNCT
fcis-15830	75	28	cnns	cnns	PROPN
fcis-15830	75	29	can	can	AUX
fcis-15830	75	30	complete	complete	VERB
fcis-15830	75	31	learning	learning	NOUN
fcis-15830	75	32	tasks	task	NOUN
fcis-15830	75	33	by	by	ADP
fcis-15830	75	34	recalling	recall	VERB
fcis-15830	75	35	extended	extended	ADJ
fcis-15830	75	36	errors	error	NOUN
fcis-15830	75	37	[	[	X
fcis-15830	75	38	23	23	NUM
fcis-15830	75	39	]	]	PUNCT
fcis-15830	75	40	.	.	PUNCT
fcis-15830	76	1	the	the	DET
fcis-15830	76	2	advantage	advantage	NOUN
fcis-15830	76	3	of	of	ADP
fcis-15830	76	4	using	use	VERB
fcis-15830	76	5	the	the	DET
fcis-15830	76	6	lstm	lstm	ADJ
fcis-15830	76	7	network	network	NOUN
fcis-15830	76	8	is	be	AUX
fcis-15830	76	9	that	that	SCONJ
fcis-15830	76	10	the	the	DET
fcis-15830	76	11	model	model	NOUN
fcis-15830	76	12	is	be	AUX
fcis-15830	76	13	able	able	ADJ
fcis-15830	76	14	to	to	PART
fcis-15830	76	15	learn	learn	VERB
fcis-15830	76	16	from	from	ADP
fcis-15830	76	17	each	each	DET
fcis-15830	76	18	patch	patch	NOUN
fcis-15830	76	19	,	,	PUNCT
fcis-15830	76	20	and	and	CCONJ
fcis-15830	76	21	all	all	PRON
fcis-15830	76	22	of	of	ADP
fcis-15830	76	23	these	these	DET
fcis-15830	76	24	learning	learn	VERB
fcis-15830	76	25	patterns	pattern	NOUN
fcis-15830	76	26	are	be	AUX
fcis-15830	76	27	aggregated	aggregate	VERB
fcis-15830	76	28	to	to	PART
fcis-15830	76	29	generate	generate	VERB
fcis-15830	76	30	patient	patient	ADJ
fcis-15830	76	31	-	-	PUNCT
fcis-15830	76	32	level	level	NOUN
fcis-15830	76	33	predictions	prediction	NOUN
fcis-15830	76	34	.	.	PUNCT
fcis-15830	77	1	figure	figure	NOUN
fcis-15830	77	2	4	4	NUM
fcis-15830	77	3	.	.	PUNCT
fcis-15830	78	1	digital	digital	PROPN
fcis-15830	78	2	rnn	rnn	PROPN
fcis-15830	78	3	structure	structure	NOUN
fcis-15830	78	4	studies	study	NOUN
fcis-15830	78	5	have	have	AUX
fcis-15830	78	6	shown	show	VERB
fcis-15830	78	7	that	that	SCONJ
fcis-15830	78	8	the	the	DET
fcis-15830	78	9	average	average	ADJ
fcis-15830	78	10	area	area	NOUN
fcis-15830	78	11	under	under	ADP
fcis-15830	78	12	the	the	DET
fcis-15830	78	13	curve	curve	NOUN
fcis-15830	78	14	(	(	PUNCT
fcis-15830	78	15	auc	auc	NOUN
fcis-15830	78	16	)	)	PUNCT
fcis-15830	78	17	value	value	NOUN
fcis-15830	78	18	of	of	ADP
fcis-15830	78	19	lstm	lstm	ADJ
fcis-15830	78	20	network	network	NOUN
fcis-15830	78	21	predictive	predictive	ADJ
fcis-15830	78	22	performance	performance	NOUN
fcis-15830	78	23	is	be	AUX
fcis-15830	78	24	0.69	0.69	NUM
fcis-15830	78	25	,	,	PUNCT
fcis-15830	78	26	which	which	PRON
fcis-15830	78	27	is	be	AUX
fcis-15830	78	28	higher	high	ADJ
fcis-15830	78	29	than	than	ADP
fcis-15830	78	30	the	the	DET
fcis-15830	78	31	predictive	predictive	ADJ
fcis-15830	78	32	performance	performance	NOUN
fcis-15830	78	33	of	of	ADP
fcis-15830	78	34	histology	histology	NOUN
fcis-15830	78	35	grade	grade	NOUN
fcis-15830	78	36	,	,	PUNCT
fcis-15830	78	37	whose	whose	DET
fcis-15830	78	38	average	average	ADJ
fcis-15830	78	39	auc	auc	NOUN
fcis-15830	78	40	value	value	NOUN
fcis-15830	78	41	is	be	AUX
fcis-15830	78	42	0.57	0.57	NUM
fcis-15830	78	43	,	,	PUNCT
fcis-15830	78	44	and	and	CCONJ
fcis-15830	78	45	the	the	DET
fcis-15830	78	46	average	average	ADJ
fcis-15830	78	47	auc	auc	NOUN
fcis-15830	78	48	value	value	NOUN
fcis-15830	78	49	of	of	ADP
fcis-15830	78	50	visual	visual	ADJ
fcis-15830	78	51	risk	risk	NOUN
fcis-15830	78	52	score	score	NOUN
fcis-15830	78	53	predicted	predict	VERB
fcis-15830	78	54	by	by	ADP
fcis-15830	78	55	3	3	NUM
fcis-15830	78	56	pathologists	pathologist	NOUN
fcis-15830	78	57	is	be	AUX
fcis-15830	78	58	0.58[24	0.58[24	NOUN
fcis-15830	78	59	]	]	X
fcis-15830	78	60	.	.	PUNCT
fcis-15830	79	1	the	the	DET
fcis-15830	79	2	potential	potential	ADJ
fcis-15830	79	3	use	use	NOUN
fcis-15830	79	4	of	of	ADP
fcis-15830	79	5	the	the	DET
fcis-15830	79	6	rnn	rnn	NOUN
fcis-15830	79	7	method	method	NOUN
fcis-15830	79	8	is	be	AUX
fcis-15830	79	9	to	to	PART
fcis-15830	79	10	analyze	analyze	VERB
fcis-15830	79	11	tissue	tissue	NOUN
fcis-15830	79	12	images	image	NOUN
fcis-15830	79	13	obtained	obtain	VERB
fcis-15830	79	14	at	at	ADP
fcis-15830	79	15	different	different	ADJ
fcis-15830	79	16	time	time	NOUN
fcis-15830	79	17	points	point	NOUN
fcis-15830	79	18	to	to	PART
fcis-15830	79	19	assess	assess	VERB
fcis-15830	79	20	patient	patient	ADJ
fcis-15830	79	21	prognosis	prognosis	NOUN
fcis-15830	79	22	or	or	CCONJ
fcis-15830	79	23	disease	disease	NOUN
fcis-15830	79	24	outcome	outcome	NOUN
fcis-15830	79	25	.	.	PUNCT
fcis-15830	80	1	2.3	2.3	NUM
fcis-15830	80	2	.	.	PUNCT
fcis-15830	81	1	ai	ai	VERB
fcis-15830	81	2	pathological	pathological	ADJ
fcis-15830	81	3	diagnosis	diagnosis	NOUN
fcis-15830	81	4	the	the	DET
fcis-15830	81	5	application	application	NOUN
fcis-15830	81	6	of	of	ADP
fcis-15830	81	7	ai	ai	NOUN
fcis-15830	81	8	in	in	ADP
fcis-15830	81	9	pathology	pathology	NOUN
fcis-15830	81	10	is	be	AUX
fcis-15830	81	11	still	still	ADV
fcis-15830	81	12	in	in	ADP
fcis-15830	81	13	its	its	PRON
fcis-15830	81	14	infancy	infancy	NOUN
fcis-15830	81	15	,	,	PUNCT
fcis-15830	81	16	so	so	ADV
fcis-15830	81	17	the	the	DET
fcis-15830	81	18	current	current	ADJ
fcis-15830	81	19	regulation	regulation	NOUN
fcis-15830	81	20	of	of	ADP
fcis-15830	81	21	ai	ai	NOUN
fcis-15830	81	22	in	in	ADP
fcis-15830	81	23	pathology	pathology	NOUN
fcis-15830	81	24	remains	remain	VERB
fcis-15830	81	25	a	a	DET
fcis-15830	81	26	very	very	ADV
fcis-15830	81	27	challenging	challenging	ADJ
fcis-15830	81	28	work	work	NOUN
fcis-15830	81	29	.	.	PUNCT
fcis-15830	82	1	the	the	DET
fcis-15830	82	2	regulatory	regulatory	ADJ
fcis-15830	82	3	guidelines	guideline	NOUN
fcis-15830	82	4	for	for	ADP
fcis-15830	82	5	the	the	DET
fcis-15830	82	6	use	use	NOUN
fcis-15830	82	7	of	of	ADP
fcis-15830	82	8	ai	ai	NOUN
fcis-15830	82	9	and	and	CCONJ
fcis-15830	82	10	deep	deep	ADJ
fcis-15830	82	11	learning	learning	NOUN
fcis-15830	82	12	software	software	NOUN
fcis-15830	82	13	in	in	ADP
fcis-15830	82	14	good	good	ADJ
fcis-15830	82	15	laboratory	laboratory	NOUN
fcis-15830	82	16	practice	practice	NOUN
fcis-15830	82	17	(	(	PUNCT
fcis-15830	82	18	glp	glp	NOUN
fcis-15830	82	19	)	)	PUNCT
fcis-15830	82	20	evaluation	evaluation	NOUN
fcis-15830	82	21	are	be	AUX
fcis-15830	82	22	based	base	VERB
fcis-15830	82	23	on	on	ADP
fcis-15830	82	24	general	general	ADJ
fcis-15830	82	25	validation	validation	NOUN
fcis-15830	82	26	principles	principle	NOUN
fcis-15830	82	27	of	of	ADP
fcis-15830	82	28	glp	glp	NOUN
fcis-15830	82	29	regulations	regulation	NOUN
fcis-15830	82	30	,	,	PUNCT
fcis-15830	82	31	such	such	ADJ
fcis-15830	82	32	as	as	ADP
fcis-15830	82	33	the	the	DET
fcis-15830	82	34	methods	method	NOUN
fcis-15830	82	35	for	for	ADP
fcis-15830	82	36	validating	validate	VERB
fcis-15830	82	37	analytical	analytical	ADJ
fcis-15830	82	38	procedures	procedure	NOUN
fcis-15830	82	39	outlined	outline	VERB
fcis-15830	82	40	by	by	ADP
fcis-15830	82	41	the	the	DET
fcis-15830	82	42	international	international	ADJ
fcis-15830	82	43	coordinating	coordinate	VERB
fcis-15830	82	44	140	140	NUM
fcis-15830	82	45	council	council	NOUN
fcis-15830	82	46	for	for	ADP
fcis-15830	82	47	human	human	ADJ
fcis-15830	82	48	pharmaceutical	pharmaceutical	NOUN
fcis-15830	82	49	technology	technology	NOUN
fcis-15830	82	50	requirements	requirement	NOUN
fcis-15830	82	51	(	(	PUNCT
fcis-15830	82	52	ich	ich	NOUN
fcis-15830	82	53	)	)	PUNCT
fcis-15830	83	1	[	[	X
fcis-15830	83	2	40	40	NUM
fcis-15830	83	3	]	]	PUNCT
fcis-15830	83	4	or	or	CCONJ
fcis-15830	83	5	the	the	DET
fcis-15830	83	6	standard	standard	ADJ
fcis-15830	83	7	evidence	evidence	NOUN
fcis-15830	83	8	methods	method	NOUN
fcis-15830	83	9	for	for	ADP
fcis-15830	83	10	creating	create	VERB
fcis-15830	83	11	biomarkers	biomarker	NOUN
fcis-15830	83	12	and	and	CCONJ
fcis-15830	83	13	diagnostics	diagnostic	NOUN
fcis-15830	83	14	identified	identify	VERB
fcis-15830	83	15	by	by	ADP
fcis-15830	83	16	the	the	DET
fcis-15830	83	17	american	american	PROPN
fcis-15830	83	18	committee	committee	PROPN
fcis-15830	83	19	on	on	ADP
fcis-15830	83	20	pharmaceutical	pharmaceutical	ADJ
fcis-15830	83	21	research	research	NOUN
fcis-15830	83	22	and	and	CCONJ
fcis-15830	83	23	manufacturers	manufacturer	NOUN
fcis-15830	83	24	.	.	PUNCT
fcis-15830	84	1	in	in	ADP
fcis-15830	84	2	general	general	ADJ
fcis-15830	84	3	,	,	PUNCT
fcis-15830	84	4	these	these	PRON
fcis-15830	84	5	include	include	VERB
fcis-15830	84	6	defining	define	VERB
fcis-15830	84	7	parameters	parameter	NOUN
fcis-15830	84	8	,	,	PUNCT
fcis-15830	84	9	analytical	analytical	ADJ
fcis-15830	84	10	accuracy	accuracy	NOUN
fcis-15830	84	11	and	and	CCONJ
fcis-15830	84	12	precision	precision	NOUN
fcis-15830	84	13	,	,	PUNCT
fcis-15830	84	14	linear	linear	VERB
fcis-15830	84	15	ranges	range	NOUN
fcis-15830	84	16	of	of	ADP
fcis-15830	84	17	detection	detection	NOUN
fcis-15830	84	18	and	and	CCONJ
fcis-15830	84	19	limits	limit	NOUN
fcis-15830	84	20	of	of	ADP
fcis-15830	84	21	quantification	quantification	NOUN
fcis-15830	84	22	,	,	PUNCT
fcis-15830	84	23	and	and	CCONJ
fcis-15830	84	24	robustness	robustness	NOUN
fcis-15830	84	25	.	.	PUNCT
fcis-15830	85	1	the	the	DET
fcis-15830	85	2	test	test	NOUN
fcis-15830	85	3	must	must	AUX
fcis-15830	85	4	be	be	AUX
fcis-15830	85	5	credible	credible	ADJ
fcis-15830	85	6	,	,	PUNCT
fcis-15830	85	7	relevant	relevant	ADJ
fcis-15830	85	8	to	to	ADP
fcis-15830	85	9	pharmacological	pharmacological	ADJ
fcis-15830	85	10	effects	effect	NOUN
fcis-15830	85	11	or	or	CCONJ
fcis-15830	85	12	mechanisms	mechanism	NOUN
fcis-15830	85	13	,	,	PUNCT
fcis-15830	85	14	or	or	CCONJ
fcis-15830	85	15	relevant	relevant	ADJ
fcis-15830	85	16	to	to	ADP
fcis-15830	85	17	disease	disease	NOUN
fcis-15830	85	18	and	and	CCONJ
fcis-15830	85	19	toxic	toxic	ADJ
fcis-15830	85	20	effect	effect	NOUN
fcis-15830	85	21	results	result	NOUN
fcis-15830	85	22	in	in	ADP
fcis-15830	85	23	addition	addition	NOUN
fcis-15830	85	24	to	to	ADP
fcis-15830	85	25	meeting	meet	VERB
fcis-15830	85	26	the	the	DET
fcis-15830	85	27	basic	basic	ADJ
fcis-15830	85	28	principles	principle	NOUN
fcis-15830	85	29	of	of	ADP
fcis-15830	85	30	analytical	analytical	ADJ
fcis-15830	85	31	validation	validation	NOUN
fcis-15830	85	32	.	.	PUNCT
fcis-15830	86	1	regulation	regulation	NOUN
fcis-15830	86	2	should	should	AUX
fcis-15830	86	3	also	also	ADV
fcis-15830	86	4	consider	consider	VERB
fcis-15830	86	5	the	the	DET
fcis-15830	86	6	principles	principle	NOUN
fcis-15830	86	7	for	for	ADP
fcis-15830	86	8	evaluating	evaluate	VERB
fcis-15830	86	9	the	the	DET
fcis-15830	86	10	clinical	clinical	ADJ
fcis-15830	86	11	use	use	NOUN
fcis-15830	86	12	of	of	ADP
fcis-15830	86	13	software	software	NOUN
fcis-15830	86	14	as	as	ADP
fcis-15830	86	15	a	a	DET
fcis-15830	86	16	medical	medical	ADJ
fcis-15830	86	17	device	device	NOUN
fcis-15830	86	18	set	set	VERB
fcis-15830	86	19	out	out	ADP
fcis-15830	86	20	in	in	ADP
fcis-15830	86	21	the	the	DET
fcis-15830	86	22	international	international	ADJ
fcis-15830	86	23	forum	forum	PROPN
fcis-15830	86	24	of	of	ADP
fcis-15830	86	25	medical	medical	ADJ
fcis-15830	86	26	device	device	NOUN
fcis-15830	86	27	regulators	regulator	NOUN
fcis-15830	86	28	and	and	CCONJ
fcis-15830	86	29	the	the	DET
fcis-15830	86	30	medical	medical	ADJ
fcis-15830	86	31	device	device	NOUN
fcis-15830	86	32	working	working	NOUN
fcis-15830	86	33	group	group	NOUN
fcis-15830	86	34	guidelines	guideline	NOUN
fcis-15830	86	35	,	,	PUNCT
fcis-15830	86	36	as	as	ADV
fcis-15830	86	37	well	well	ADV
fcis-15830	86	38	as	as	ADP
fcis-15830	86	39	following	follow	VERB
fcis-15830	86	40	the	the	DET
fcis-15830	86	41	medical	medical	ADJ
fcis-15830	86	42	digital	digital	ADJ
fcis-15830	86	43	imaging	imaging	NOUN
fcis-15830	86	44	and	and	CCONJ
fcis-15830	86	45	communication	communication	NOUN
fcis-15830	86	46	(	(	PUNCT
fcis-15830	86	47	dicom	dicom	NOUN
fcis-15830	86	48	)	)	PUNCT
fcis-15830	86	49	standard	standard	NOUN
fcis-15830	86	50	for	for	ADP
fcis-15830	86	51	processing	process	VERB
fcis-15830	86	52	image	image	NOUN
fcis-15830	86	53	data	datum	NOUN
fcis-15830	86	54	.	.	PUNCT
fcis-15830	87	1	figure	figure	NOUN
fcis-15830	87	2	5	5	NUM
fcis-15830	87	3	.	.	PUNCT
fcis-15830	88	1	dicom	dicom	PROPN
fcis-15830	88	2	diagnostic	diagnostic	ADJ
fcis-15830	88	3	image	image	NOUN
fcis-15830	88	4	international	international	ADJ
fcis-15830	88	5	dicom	dicom	PROPN
fcis-15830	88	6	standard	standard	NOUN
fcis-15830	88	7	is	be	AUX
fcis-15830	88	8	an	an	DET
fcis-15830	88	9	international	international	ADJ
fcis-15830	88	10	standard	standard	NOUN
fcis-15830	88	11	for	for	ADP
fcis-15830	88	12	medical	medical	ADJ
fcis-15830	88	13	image	image	NOUN
fcis-15830	88	14	information	information	NOUN
fcis-15830	88	15	transmission	transmission	NOUN
fcis-15830	88	16	,	,	PUNCT
fcis-15830	88	17	storage	storage	NOUN
fcis-15830	88	18	,	,	PUNCT
fcis-15830	88	19	retrieval	retrieval	NOUN
fcis-15830	88	20	,	,	PUNCT
fcis-15830	88	21	printing	printing	NOUN
fcis-15830	88	22	,	,	PUNCT
fcis-15830	88	23	processing	processing	NOUN
fcis-15830	88	24	and	and	CCONJ
fcis-15830	88	25	display	display	NOUN
fcis-15830	88	26	.	.	PUNCT
fcis-15830	89	1	the	the	DET
fcis-15830	89	2	dicom	dicom	PROPN
fcis-15830	89	3	basic	basic	PROPN
fcis-15830	89	4	standards	standard	NOUN
fcis-15830	89	5	committee	committee	NOUN
fcis-15830	89	6	meets	meet	VERB
fcis-15830	89	7	regularly	regularly	ADV
fcis-15830	89	8	to	to	PART
fcis-15830	89	9	review	review	VERB
fcis-15830	89	10	the	the	DET
fcis-15830	89	11	task	task	NOUN
fcis-15830	89	12	outputs	output	NOUN
fcis-15830	89	13	of	of	ADP
fcis-15830	89	14	the	the	DET
fcis-15830	89	15	31	31	NUM
fcis-15830	89	16	dicom	dicom	NOUN
fcis-15830	89	17	working	working	NOUN
fcis-15830	89	18	groups	group	NOUN
fcis-15830	89	19	and	and	CCONJ
fcis-15830	89	20	to	to	PART
fcis-15830	89	21	identify	identify	VERB
fcis-15830	89	22	trends	trend	NOUN
fcis-15830	89	23	and	and	CCONJ
fcis-15830	89	24	projected	project	VERB
fcis-15830	89	25	changes	change	NOUN
fcis-15830	89	26	that	that	PRON
fcis-15830	89	27	may	may	AUX
fcis-15830	89	28	affect	affect	VERB
fcis-15830	89	29	the	the	DET
fcis-15830	89	30	integrity	integrity	NOUN
fcis-15830	89	31	of	of	ADP
fcis-15830	89	32	medical	medical	ADJ
fcis-15830	89	33	image	image	NOUN
fcis-15830	89	34	imaging	imaging	NOUN
fcis-15830	89	35	information	information	NOUN
fcis-15830	89	36	.	.	PUNCT
fcis-15830	90	1	the	the	DET
fcis-15830	90	2	basic	basic	ADJ
fcis-15830	90	3	goal	goal	NOUN
fcis-15830	90	4	of	of	ADP
fcis-15830	90	5	the	the	DET
fcis-15830	90	6	organization	organization	NOUN
fcis-15830	90	7	is	be	AUX
fcis-15830	90	8	to	to	PART
fcis-15830	90	9	develop	develop	VERB
fcis-15830	90	10	standards	standard	NOUN
fcis-15830	90	11	for	for	ADP
fcis-15830	90	12	the	the	DET
fcis-15830	90	13	digital	digital	ADJ
fcis-15830	90	14	exchange	exchange	NOUN
fcis-15830	90	15	of	of	ADP
fcis-15830	90	16	information	information	NOUN
fcis-15830	90	17	between	between	ADP
fcis-15830	90	18	medical	medical	ADJ
fcis-15830	90	19	imaging	imaging	NOUN
fcis-15830	90	20	devices	device	NOUN
fcis-15830	90	21	and	and	CCONJ
fcis-15830	90	22	other	other	ADJ
fcis-15830	90	23	information	information	NOUN
fcis-15830	90	24	technology	technology	NOUN
fcis-15830	90	25	systems	system	NOUN
fcis-15830	90	26	.	.	PUNCT
fcis-15830	91	1	it	it	PRON
fcis-15830	91	2	is	be	AUX
fcis-15830	91	3	worth	worth	ADJ
fcis-15830	91	4	noting	note	VERB
fcis-15830	91	5	that	that	SCONJ
fcis-15830	91	6	pathological	pathological	ADJ
fcis-15830	91	7	diagnostic	diagnostic	ADJ
fcis-15830	91	8	medical	medical	ADJ
fcis-15830	91	9	imaging	imaging	NOUN
fcis-15830	91	10	also	also	ADV
fcis-15830	91	11	falls	fall	VERB
fcis-15830	91	12	under	under	ADP
fcis-15830	91	13	this	this	DET
fcis-15830	91	14	dicom	dicom	NOUN
fcis-15830	91	15	standard	standard	NOUN
fcis-15830	91	16	.	.	PUNCT
fcis-15830	92	1	following	follow	VERB
fcis-15830	92	2	dicom	dicom	PROPN
fcis-15830	92	3	standards	standard	NOUN
fcis-15830	92	4	,	,	PUNCT
fcis-15830	92	5	digital	digital	ADJ
fcis-15830	92	6	pathology	pathology	NOUN
fcis-15830	92	7	can	can	AUX
fcis-15830	92	8	facilitate	facilitate	VERB
fcis-15830	92	9	interdisciplinary	interdisciplinary	ADJ
fcis-15830	92	10	collaboration	collaboration	NOUN
fcis-15830	92	11	,	,	PUNCT
fcis-15830	92	12	and	and	CCONJ
fcis-15830	92	13	scientists	scientist	NOUN
fcis-15830	92	14	and	and	CCONJ
fcis-15830	92	15	medical	medical	ADJ
fcis-15830	92	16	professionals	professional	NOUN
fcis-15830	92	17	using	use	VERB
fcis-15830	92	18	different	different	ADJ
fcis-15830	92	19	systems	system	NOUN
fcis-15830	92	20	can	can	AUX
fcis-15830	92	21	easily	easily	ADV
fcis-15830	92	22	access	access	VERB
fcis-15830	92	23	the	the	DET
fcis-15830	92	24	same	same	ADJ
fcis-15830	92	25	information	information	NOUN
fcis-15830	92	26	and	and	CCONJ
fcis-15830	92	27	data	datum	NOUN
fcis-15830	92	28	without	without	ADP
fcis-15830	92	29	having	have	VERB
fcis-15830	92	30	to	to	PART
fcis-15830	92	31	reformat	reformat	VERB
fcis-15830	92	32	it	it	PRON
fcis-15830	92	33	for	for	ADP
fcis-15830	92	34	system	system	NOUN
fcis-15830	92	35	compatibility	compatibility	NOUN
fcis-15830	92	36	,	,	PUNCT
fcis-15830	92	37	thus	thus	ADV
fcis-15830	92	38	avoiding	avoid	VERB
fcis-15830	92	39	data	datum	NOUN
fcis-15830	92	40	loss	loss	NOUN
fcis-15830	92	41	.	.	PUNCT
fcis-15830	93	1	this	this	PRON
fcis-15830	93	2	is	be	AUX
fcis-15830	93	3	critical	critical	ADJ
fcis-15830	93	4	to	to	ADP
fcis-15830	93	5	the	the	DET
fcis-15830	93	6	success	success	NOUN
fcis-15830	93	7	of	of	ADP
fcis-15830	93	8	ai	ai	NOUN
fcis-15830	93	9	and	and	CCONJ
fcis-15830	93	10	deep	deep	ADJ
fcis-15830	93	11	learning	learning	NOUN
fcis-15830	93	12	.	.	PUNCT
fcis-15830	94	1	as	as	ADP
fcis-15830	94	2	a	a	DET
fcis-15830	94	3	result	result	NOUN
fcis-15830	94	4	,	,	PUNCT
fcis-15830	94	5	veterinarians	veterinarian	NOUN
fcis-15830	94	6	and	and	CCONJ
fcis-15830	94	7	toxicologists	toxicologist	NOUN
fcis-15830	94	8	,	,	PUNCT
fcis-15830	94	9	when	when	SCONJ
fcis-15830	94	10	making	make	VERB
fcis-15830	94	11	widespread	widespread	ADJ
fcis-15830	94	12	use	use	NOUN
fcis-15830	94	13	of	of	ADP
fcis-15830	94	14	digital	digital	ADJ
fcis-15830	94	15	image	image	NOUN
fcis-15830	94	16	acquisition	acquisition	NOUN
fcis-15830	94	17	related	relate	VERB
fcis-15830	94	18	to	to	PART
fcis-15830	94	19	ai	ai	VERB
fcis-15830	94	20	and	and	CCONJ
fcis-15830	94	21	deep	deep	ADJ
fcis-15830	94	22	learning	learning	NOUN
fcis-15830	94	23	applications	application	NOUN
fcis-15830	94	24	,	,	PUNCT
fcis-15830	94	25	need	need	VERB
fcis-15830	94	26	to	to	PART
fcis-15830	94	27	ensure	ensure	VERB
fcis-15830	94	28	that	that	SCONJ
fcis-15830	94	29	full	full	ADJ
fcis-15830	94	30	-	-	PUNCT
fcis-15830	94	31	slice	slice	NOUN
fcis-15830	94	32	scanners	scanner	NOUN
fcis-15830	94	33	generate	generate	VERB
fcis-15830	94	34	dicom	dicom	NOUN
fcis-15830	94	35	-	-	PUNCT
fcis-15830	94	36	compliant	compliant	ADJ
fcis-15830	94	37	images	image	NOUN
fcis-15830	94	38	and	and	CCONJ
fcis-15830	94	39	that	that	SCONJ
fcis-15830	94	40	personal	personal	ADJ
fcis-15830	94	41	access	access	NOUN
fcis-15830	94	42	communication	communication	NOUN
fcis-15830	94	43	system	system	NOUN
fcis-15830	94	44	(	(	PUNCT
fcis-15830	94	45	pacs	pac	NOUN
fcis-15830	94	46	)	)	PUNCT
fcis-15830	94	47	users	user	NOUN
fcis-15830	94	48	can	can	AUX
fcis-15830	94	49	import	import	VERB
fcis-15830	94	50	and	and	CCONJ
fcis-15830	94	51	view	view	VERB
fcis-15830	94	52	files	file	NOUN
fcis-15830	94	53	.	.	PUNCT
fcis-15830	95	1	in	in	ADP
fcis-15830	95	2	short	short	ADJ
fcis-15830	95	3	,	,	PUNCT
fcis-15830	95	4	with	with	ADP
fcis-15830	95	5	the	the	DET
fcis-15830	95	6	continuous	continuous	ADJ
fcis-15830	95	7	development	development	NOUN
fcis-15830	95	8	of	of	ADP
fcis-15830	95	9	ai	ai	PROPN
fcis-15830	95	10	technology	technology	NOUN
fcis-15830	95	11	and	and	CCONJ
fcis-15830	95	12	its	its	PRON
fcis-15830	95	13	applications	application	NOUN
fcis-15830	95	14	,	,	PUNCT
fcis-15830	95	15	but	but	CCONJ
fcis-15830	95	16	also	also	ADV
fcis-15830	95	17	promote	promote	VERB
fcis-15830	95	18	the	the	DET
fcis-15830	95	19	standardization	standardization	NOUN
fcis-15830	95	20	of	of	ADP
fcis-15830	95	21	medical	medical	ADJ
fcis-15830	95	22	imaging	imaging	NOUN
fcis-15830	95	23	data	data	PROPN
fcis-15830	95	24	information	information	PROPN
fcis-15830	95	25	exchange	exchange	PROPN
fcis-15830	95	26	,	,	PUNCT
fcis-15830	95	27	dicom	dicom	NOUN
fcis-15830	95	28	's	's	PART
fcis-15830	95	29	importance	importance	NOUN
fcis-15830	95	30	and	and	CCONJ
fcis-15830	95	31	influence	influence	NOUN
fcis-15830	95	32	is	be	AUX
fcis-15830	95	33	growing	grow	VERB
fcis-15830	95	34	.	.	PUNCT
fcis-15830	96	1	3	3	X
fcis-15830	96	2	.	.	X
fcis-15830	96	3	conclusion	conclusion	NOUN
fcis-15830	96	4	with	with	ADP
fcis-15830	96	5	the	the	DET
fcis-15830	96	6	development	development	NOUN
fcis-15830	96	7	of	of	ADP
fcis-15830	96	8	microscope	microscope	NOUN
fcis-15830	96	9	image	image	NOUN
fcis-15830	96	10	digitization	digitization	NOUN
fcis-15830	96	11	technology	technology	NOUN
fcis-15830	96	12	,	,	PUNCT
fcis-15830	96	13	the	the	DET
fcis-15830	96	14	application	application	NOUN
fcis-15830	96	15	of	of	ADP
fcis-15830	96	16	digital	digital	ADJ
fcis-15830	96	17	pathology	pathology	NOUN
fcis-15830	96	18	has	have	AUX
fcis-15830	96	19	extended	extend	VERB
fcis-15830	96	20	to	to	ADP
fcis-15830	96	21	all	all	DET
fcis-15830	96	22	fields	field	NOUN
fcis-15830	96	23	of	of	ADP
fcis-15830	96	24	pathology	pathology	NOUN
fcis-15830	96	25	,	,	PUNCT
fcis-15830	96	26	including	include	VERB
fcis-15830	96	27	human	human	ADJ
fcis-15830	96	28	clinical	clinical	ADJ
fcis-15830	96	29	diagnosis	diagnosis	NOUN
fcis-15830	96	30	and	and	CCONJ
fcis-15830	96	31	non	non	ADJ
fcis-15830	96	32	-	-	ADJ
fcis-15830	96	33	clinical	clinical	ADJ
fcis-15830	96	34	safety	safety	NOUN
fcis-15830	96	35	studies	study	NOUN
fcis-15830	96	36	.	.	PUNCT
fcis-15830	97	1	full	full	ADJ
fcis-15830	97	2	-	-	PUNCT
fcis-15830	97	3	section	section	NOUN
fcis-15830	97	4	digitization	digitization	NOUN
fcis-15830	97	5	has	have	AUX
fcis-15830	97	6	facilitated	facilitate	VERB
fcis-15830	97	7	the	the	DET
fcis-15830	97	8	development	development	NOUN
fcis-15830	97	9	of	of	ADP
fcis-15830	97	10	automated	automate	VERB
fcis-15830	97	11	image	image	NOUN
fcis-15830	97	12	analysis	analysis	NOUN
fcis-15830	97	13	techniques	technique	NOUN
fcis-15830	97	14	that	that	PRON
fcis-15830	97	15	help	help	VERB
fcis-15830	97	16	pathologists	pathologist	NOUN
fcis-15830	97	17	perform	perform	VERB
fcis-15830	97	18	visual	visual	ADJ
fcis-15830	97	19	quantification	quantification	NOUN
fcis-15830	97	20	tasks	task	NOUN
fcis-15830	97	21	.	.	PUNCT
fcis-15830	98	1	in	in	ADP
fcis-15830	98	2	conclusion	conclusion	NOUN
fcis-15830	98	3	,	,	PUNCT
fcis-15830	98	4	pathology	pathology	NOUN
fcis-15830	98	5	benefits	benefit	NOUN
fcis-15830	98	6	from	from	ADP
fcis-15830	98	7	real	real	ADJ
fcis-15830	98	8	-	-	PUNCT
fcis-15830	98	9	time	time	NOUN
fcis-15830	98	10	advances	advance	NOUN
fcis-15830	98	11	in	in	ADP
fcis-15830	98	12	computer	computer	NOUN
fcis-15830	98	13	vision	vision	NOUN
fcis-15830	98	14	and	and	CCONJ
fcis-15830	98	15	analytical	analytical	ADJ
fcis-15830	98	16	algorithms	algorithm	NOUN
fcis-15830	98	17	.	.	PUNCT
fcis-15830	99	1	high	high	ADJ
fcis-15830	99	2	quality	quality	NOUN
fcis-15830	99	3	and	and	CCONJ
fcis-15830	99	4	consistent	consistent	ADJ
fcis-15830	99	5	annotation	annotation	NOUN
fcis-15830	99	6	of	of	ADP
fcis-15830	99	7	pathological	pathological	ADJ
fcis-15830	99	8	data	datum	NOUN
fcis-15830	99	9	is	be	AUX
fcis-15830	99	10	essential	essential	ADJ
fcis-15830	99	11	for	for	ADP
fcis-15830	99	12	the	the	DET
fcis-15830	99	13	development	development	NOUN
fcis-15830	99	14	of	of	ADP
fcis-15830	99	15	algorithms	algorithm	NOUN
fcis-15830	99	16	and	and	CCONJ
fcis-15830	99	17	models	model	NOUN
fcis-15830	99	18	.	.	PUNCT
fcis-15830	100	1	if	if	SCONJ
fcis-15830	100	2	this	this	PRON
fcis-15830	100	3	is	be	AUX
fcis-15830	100	4	achieved	achieve	VERB
fcis-15830	100	5	,	,	PUNCT
fcis-15830	100	6	ai	ai	VERB
fcis-15830	100	7	can	can	AUX
fcis-15830	100	8	help	help	VERB
fcis-15830	100	9	the	the	DET
fcis-15830	100	10	pathologist	pathologist	NOUN
fcis-15830	100	11	to	to	PART
fcis-15830	100	12	free	free	VERB
fcis-15830	100	13	himself	himself	PRON
fcis-15830	100	14	from	from	ADP
fcis-15830	100	15	tedious	tedious	ADJ
fcis-15830	100	16	film	film	NOUN
fcis-15830	100	17	reading	reading	NOUN
fcis-15830	100	18	tasks	task	NOUN
fcis-15830	100	19	and	and	CCONJ
fcis-15830	100	20	can	can	AUX
fcis-15830	100	21	increase	increase	VERB
fcis-15830	100	22	the	the	DET
fcis-15830	100	23	consistency	consistency	NOUN
fcis-15830	100	24	of	of	ADP
fcis-15830	100	25	the	the	DET
fcis-15830	100	26	pathology	pathology	NOUN
fcis-15830	100	27	rating	rating	NOUN
fcis-15830	100	28	system	system	NOUN
fcis-15830	100	29	,	,	PUNCT
fcis-15830	100	30	adding	add	VERB
fcis-15830	100	31	a	a	DET
fcis-15830	100	32	quantitative	quantitative	ADJ
fcis-15830	100	33	dimension	dimension	NOUN
fcis-15830	100	34	to	to	ADP
fcis-15830	100	35	the	the	DET
fcis-15830	100	36	previous	previous	ADJ
fcis-15830	100	37	semiquantitative	semiquantitative	ADJ
fcis-15830	100	38	assessment	assessment	NOUN
fcis-15830	100	39	.	.	PUNCT
fcis-15830	101	1	and	and	CCONJ
fcis-15830	101	2	support	support	VERB
fcis-15830	101	3	diagnostic	diagnostic	ADJ
fcis-15830	101	4	decisions	decision	NOUN
fcis-15830	101	5	by	by	ADP
fcis-15830	101	6	highlighting	highlight	VERB
fcis-15830	101	7	specific	specific	ADJ
fcis-15830	101	8	areas	area	NOUN
fcis-15830	101	9	of	of	ADP
fcis-15830	101	10	the	the	DET
fcis-15830	101	11	image	image	NOUN
fcis-15830	101	12	to	to	PART
fcis-15830	101	13	prompt	prompt	VERB
fcis-15830	101	14	further	further	ADJ
fcis-15830	101	15	review	review	NOUN
fcis-15830	101	16	by	by	ADP
fcis-15830	101	17	the	the	DET
fcis-15830	101	18	pathologist	pathologist	NOUN
fcis-15830	101	19	.	.	PUNCT
fcis-15830	102	1	with	with	ADP
fcis-15830	102	2	the	the	DET
fcis-15830	102	3	rapid	rapid	ADJ
fcis-15830	102	4	progress	progress	NOUN
fcis-15830	102	5	of	of	ADP
fcis-15830	102	6	ai	ai	NOUN
fcis-15830	102	7	,	,	PUNCT
fcis-15830	102	8	it	it	PRON
fcis-15830	102	9	has	have	AUX
fcis-15830	102	10	been	be	AUX
fcis-15830	102	11	confirmed	confirm	VERB
fcis-15830	102	12	that	that	SCONJ
fcis-15830	102	13	ai	ai	VERB
fcis-15830	102	14	-	-	PUNCT
fcis-15830	102	15	based	base	VERB
fcis-15830	102	16	tissue	tissue	NOUN
fcis-15830	102	17	evaluation	evaluation	NOUN
fcis-15830	102	18	can	can	AUX
fcis-15830	102	19	be	be	AUX
fcis-15830	102	20	equal	equal	ADJ
fcis-15830	102	21	to	to	ADP
fcis-15830	102	22	or	or	CCONJ
fcis-15830	102	23	better	well	ADJ
fcis-15830	102	24	than	than	ADP
fcis-15830	102	25	the	the	DET
fcis-15830	102	26	evaluation	evaluation	NOUN
fcis-15830	102	27	of	of	ADP
fcis-15830	102	28	pathologists	pathologist	NOUN
fcis-15830	102	29	.	.	PUNCT
fcis-15830	103	1	especially	especially	ADV
fcis-15830	103	2	,	,	PUNCT
fcis-15830	103	3	ai	ai	VERB
fcis-15830	103	4	deep	deep	ADJ
fcis-15830	103	5	learning	learning	NOUN
fcis-15830	103	6	has	have	VERB
fcis-15830	103	7	great	great	ADJ
fcis-15830	103	8	advantages	advantage	NOUN
fcis-15830	103	9	in	in	ADP
fcis-15830	103	10	terms	term	NOUN
fcis-15830	103	11	of	of	ADP
fcis-15830	103	12	driving	drive	VERB
fcis-15830	103	13	efficiency	efficiency	NOUN
fcis-15830	103	14	and	and	CCONJ
fcis-15830	103	15	reproducibility	reproducibility	NOUN
fcis-15830	103	16	of	of	ADP
fcis-15830	103	17	toxicological	toxicological	ADJ
fcis-15830	103	18	pathology	pathology	NOUN
fcis-15830	103	19	work	work	NOUN
fcis-15830	103	20	.	.	PUNCT
fcis-15830	104	1	however	however	ADV
fcis-15830	104	2	,	,	PUNCT
fcis-15830	104	3	there	there	PRON
fcis-15830	104	4	are	be	VERB
fcis-15830	104	5	still	still	ADV
fcis-15830	104	6	many	many	ADJ
fcis-15830	104	7	challenges	challenge	NOUN
fcis-15830	104	8	in	in	ADP
fcis-15830	104	9	the	the	DET
fcis-15830	104	10	application	application	NOUN
fcis-15830	104	11	of	of	ADP
fcis-15830	104	12	deep	deep	ADJ
fcis-15830	104	13	learning	learning	NOUN
fcis-15830	104	14	to	to	ADP
fcis-15830	104	15	digital	digital	ADJ
fcis-15830	104	16	pathology	pathology	NOUN
fcis-15830	104	17	,	,	PUNCT
fcis-15830	104	18	such	such	ADJ
fcis-15830	104	19	as	as	ADP
fcis-15830	104	20	classification	classification	NOUN
fcis-15830	104	21	tasks	task	NOUN
fcis-15830	104	22	.	.	PUNCT
fcis-15830	105	1	the	the	DET
fcis-15830	105	2	text	text	NOUN
fcis-15830	105	3	or	or	CCONJ
fcis-15830	105	4	images	image	NOUN
fcis-15830	105	5	needed	need	VERB
fcis-15830	105	6	for	for	SCONJ
fcis-15830	105	7	a	a	DET
fcis-15830	105	8	computer	computer	NOUN
fcis-15830	105	9	to	to	PART
fcis-15830	105	10	accurately	accurately	ADV
fcis-15830	105	11	identify	identify	VERB
fcis-15830	105	12	a	a	DET
fcis-15830	105	13	particular	particular	ADJ
fcis-15830	105	14	class	class	NOUN
fcis-15830	105	15	are	be	AUX
fcis-15830	105	16	limited	limit	VERB
fcis-15830	105	17	by	by	ADP
fcis-15830	105	18	a	a	DET
fcis-15830	105	19	single	single	ADJ
fcis-15830	105	20	magnification	magnification	NOUN
fcis-15830	105	21	training	training	NOUN
fcis-15830	105	22	.	.	PUNCT
fcis-15830	106	1	second	second	ADJ
fcis-15830	106	2	,	,	PUNCT
fcis-15830	106	3	some	some	DET
fcis-15830	106	4	classes	class	NOUN
fcis-15830	106	5	with	with	ADP
fcis-15830	106	6	microscopic	microscopic	ADJ
fcis-15830	106	7	changes	change	NOUN
fcis-15830	106	8	(	(	PUNCT
fcis-15830	106	9	such	such	ADJ
fcis-15830	106	10	as	as	ADP
fcis-15830	106	11	lung	lung	NOUN
fcis-15830	106	12	hyperplasia	hyperplasia	NOUN
fcis-15830	106	13	and	and	CCONJ
fcis-15830	106	14	adenoma	adenoma	ADJ
fcis-15830	106	15	)	)	PUNCT
fcis-15830	106	16	differ	differ	VERB
fcis-15830	106	17	less	less	ADJ
fcis-15830	106	18	than	than	ADP
fcis-15830	106	19	others	other	NOUN
fcis-15830	106	20	,	,	PUNCT
fcis-15830	106	21	or	or	CCONJ
fcis-15830	106	22	there	there	PRON
fcis-15830	106	23	is	be	VERB
fcis-15830	106	24	heterogeneity	heterogeneity	NOUN
fcis-15830	106	25	among	among	ADP
fcis-15830	106	26	individuals	individual	NOUN
fcis-15830	106	27	of	of	ADP
fcis-15830	106	28	the	the	DET
fcis-15830	106	29	same	same	ADJ
fcis-15830	106	30	class	class	NOUN
fcis-15830	106	31	of	of	ADP
fcis-15830	106	32	tumor	tumor	NOUN
fcis-15830	106	33	,	,	PUNCT
fcis-15830	106	34	which	which	PRON
fcis-15830	106	35	may	may	AUX
fcis-15830	106	36	lead	lead	VERB
fcis-15830	106	37	to	to	ADP
fcis-15830	106	38	annotation	annotation	NOUN
fcis-15830	106	39	uncertainty	uncertainty	NOUN
fcis-15830	106	40	at	at	ADP
fcis-15830	106	41	classification	classification	NOUN
fcis-15830	106	42	time	time	NOUN
fcis-15830	106	43	.	.	PUNCT
fcis-15830	107	1	in	in	ADP
fcis-15830	107	2	addition	addition	NOUN
fcis-15830	107	3	,	,	PUNCT
fcis-15830	107	4	there	there	PRON
fcis-15830	107	5	will	will	AUX
fcis-15830	107	6	be	be	AUX
fcis-15830	107	7	rare	rare	ADJ
fcis-15830	107	8	cases	case	NOUN
fcis-15830	107	9	of	of	ADP
fcis-15830	107	10	toxic	toxic	ADJ
fcis-15830	107	11	pathology	pathology	NOUN
fcis-15830	107	12	that	that	PRON
fcis-15830	107	13	are	be	AUX
fcis-15830	107	14	difficult	difficult	ADJ
fcis-15830	107	15	to	to	PART
fcis-15830	107	16	obtain	obtain	VERB
fcis-15830	107	17	in	in	ADP
fcis-15830	107	18	sufficient	sufficient	ADJ
fcis-15830	107	19	numbers	number	NOUN
fcis-15830	107	20	,	,	PUNCT
fcis-15830	107	21	resulting	result	VERB
fcis-15830	107	22	in	in	ADP
fcis-15830	107	23	insufficient	insufficient	ADJ
fcis-15830	107	24	data	datum	NOUN
fcis-15830	107	25	for	for	ADP
fcis-15830	107	26	deep	deep	ADJ
fcis-15830	107	27	learning	learning	NOUN
fcis-15830	107	28	training	training	NOUN
fcis-15830	107	29	sets	set	NOUN
fcis-15830	107	30	.	.	PUNCT
fcis-15830	108	1	at	at	ADP
fcis-15830	108	2	present	present	ADJ
fcis-15830	108	3	,	,	PUNCT
fcis-15830	108	4	chinese	chinese	ADJ
fcis-15830	108	5	toxicologists	toxicologist	NOUN
fcis-15830	108	6	are	be	AUX
fcis-15830	108	7	committed	commit	VERB
fcis-15830	108	8	to	to	ADP
fcis-15830	108	9	promoting	promote	VERB
fcis-15830	108	10	the	the	DET
fcis-15830	108	11	application	application	NOUN
fcis-15830	108	12	of	of	ADP
fcis-15830	108	13	ai	ai	PRON
fcis-15830	108	14	technology	technology	NOUN
fcis-15830	108	15	in	in	ADP
fcis-15830	108	16	the	the	DET
fcis-15830	108	17	industry	industry	NOUN
fcis-15830	108	18	,	,	PUNCT
fcis-15830	108	19	and	and	CCONJ
fcis-15830	108	20	the	the	DET
fcis-15830	108	21	author	author	NOUN
fcis-15830	108	22	believes	believe	VERB
fcis-15830	108	23	that	that	SCONJ
fcis-15830	108	24	the	the	DET
fcis-15830	108	25	development	development	NOUN
fcis-15830	108	26	of	of	ADP
fcis-15830	108	27	technology	technology	NOUN
fcis-15830	108	28	should	should	AUX
fcis-15830	108	29	be	be	AUX
fcis-15830	108	30	promoted	promote	VERB
fcis-15830	108	31	from	from	ADP
fcis-15830	108	32	the	the	DET
fcis-15830	108	33	following	follow	VERB
fcis-15830	108	34	aspects	aspect	NOUN
fcis-15830	108	35	:	:	PUNCT
fcis-15830	108	36	first	first	ADV
fcis-15830	108	37	,	,	PUNCT
fcis-15830	108	38	the	the	DET
fcis-15830	108	39	annotation	annotation	NOUN
fcis-15830	108	40	of	of	ADP
fcis-15830	108	41	standardized	standardized	ADJ
fcis-15830	108	42	accurate	accurate	ADJ
fcis-15830	108	43	pathological	pathological	ADJ
fcis-15830	108	44	image	image	NOUN
fcis-15830	108	45	data	datum	NOUN
fcis-15830	108	46	is	be	AUX
fcis-15830	108	47	the	the	DET
fcis-15830	108	48	cornerstone	cornerstone	NOUN
fcis-15830	108	49	of	of	ADP
fcis-15830	108	50	the	the	DET
fcis-15830	108	51	development	development	NOUN
fcis-15830	108	52	of	of	ADP
fcis-15830	108	53	ai	ai	PROPN
fcis-15830	108	54	technology	technology	NOUN
fcis-15830	108	55	.	.	PUNCT
fcis-15830	109	1	based	base	VERB
fcis-15830	109	2	141	141	NUM
fcis-15830	109	3	on	on	ADP
fcis-15830	109	4	the	the	DET
fcis-15830	109	5	vigorous	vigorous	ADJ
fcis-15830	109	6	development	development	NOUN
fcis-15830	109	7	of	of	ADP
fcis-15830	109	8	domestic	domestic	ADJ
fcis-15830	109	9	drug	drug	NOUN
fcis-15830	109	10	research	research	NOUN
fcis-15830	109	11	and	and	CCONJ
fcis-15830	109	12	development	development	NOUN
fcis-15830	109	13	,	,	PUNCT
fcis-15830	109	14	the	the	DET
fcis-15830	109	15	establishment	establishment	NOUN
fcis-15830	109	16	of	of	ADP
fcis-15830	109	17	a	a	DET
fcis-15830	109	18	publicly	publicly	ADV
fcis-15830	109	19	shared	share	VERB
fcis-15830	109	20	database	database	NOUN
fcis-15830	109	21	of	of	ADP
fcis-15830	109	22	toxic	toxic	ADJ
fcis-15830	109	23	pathological	pathological	ADJ
fcis-15830	109	24	images	image	NOUN
fcis-15830	109	25	will	will	AUX
fcis-15830	109	26	become	become	VERB
fcis-15830	109	27	a	a	DET
fcis-15830	109	28	necessary	necessary	ADJ
fcis-15830	109	29	prerequisite	prerequisite	NOUN
fcis-15830	109	30	for	for	ADP
fcis-15830	109	31	the	the	DET
fcis-15830	109	32	development	development	NOUN
fcis-15830	109	33	of	of	ADP
fcis-15830	109	34	ai	ai	PRON
fcis-15830	109	35	algorithms	algorithm	NOUN
fcis-15830	109	36	for	for	ADP
fcis-15830	109	37	pathological	pathological	ADJ
fcis-15830	109	38	diagnosis	diagnosis	NOUN
fcis-15830	109	39	in	in	ADP
fcis-15830	109	40	the	the	DET
fcis-15830	109	41	future	future	NOUN
fcis-15830	109	42	.	.	PUNCT
fcis-15830	110	1	secondly	secondly	ADV
fcis-15830	110	2	,	,	PUNCT
fcis-15830	110	3	the	the	DET
fcis-15830	110	4	development	development	NOUN
fcis-15830	110	5	and	and	CCONJ
fcis-15830	110	6	extension	extension	NOUN
fcis-15830	110	7	of	of	ADP
fcis-15830	110	8	ai	ai	PROPN
fcis-15830	110	9	algorithm	algorithm	NOUN
fcis-15830	110	10	technology	technology	NOUN
fcis-15830	110	11	,	,	PUNCT
fcis-15830	110	12	especially	especially	ADV
fcis-15830	110	13	improving	improve	VERB
fcis-15830	110	14	the	the	DET
fcis-15830	110	15	generalization	generalization	NOUN
fcis-15830	110	16	ability	ability	NOUN
fcis-15830	110	17	of	of	ADP
fcis-15830	110	18	deep	deep	ADJ
fcis-15830	110	19	learning	learning	NOUN
fcis-15830	110	20	algorithm	algorithm	NOUN
fcis-15830	110	21	models	model	NOUN
fcis-15830	110	22	,	,	PUNCT
fcis-15830	110	23	may	may	AUX
fcis-15830	110	24	be	be	AUX
fcis-15830	110	25	an	an	DET
fcis-15830	110	26	important	important	ADJ
fcis-15830	110	27	way	way	NOUN
fcis-15830	110	28	to	to	PART
fcis-15830	110	29	accelerate	accelerate	VERB
fcis-15830	110	30	the	the	DET
fcis-15830	110	31	application	application	NOUN
fcis-15830	110	32	of	of	ADP
fcis-15830	110	33	ai	ai	PRON
fcis-15830	110	34	technology	technology	NOUN
fcis-15830	110	35	in	in	ADP
fcis-15830	110	36	toxicology	toxicology	NOUN
fcis-15830	110	37	.	.	PUNCT
fcis-15830	111	1	finally	finally	ADV
fcis-15830	111	2	,	,	PUNCT
fcis-15830	111	3	the	the	DET
fcis-15830	111	4	feature	feature	NOUN
fcis-15830	111	5	extraction	extraction	NOUN
fcis-15830	111	6	algorithm	algorithm	NOUN
fcis-15830	111	7	of	of	ADP
fcis-15830	111	8	the	the	DET
fcis-15830	111	9	deep	deep	ADJ
fcis-15830	111	10	learning	learning	NOUN
fcis-15830	111	11	model	model	NOUN
fcis-15830	111	12	mainly	mainly	ADV
fcis-15830	111	13	relies	rely	VERB
fcis-15830	111	14	on	on	ADP
fcis-15830	111	15	computer	computer	NOUN
fcis-15830	111	16	experts	expert	NOUN
fcis-15830	111	17	,	,	PUNCT
fcis-15830	111	18	while	while	SCONJ
fcis-15830	111	19	the	the	DET
fcis-15830	111	20	annotation	annotation	NOUN
fcis-15830	111	21	of	of	ADP
fcis-15830	111	22	pathological	pathological	ADJ
fcis-15830	111	23	pictures	picture	NOUN
fcis-15830	111	24	relies	rely	VERB
fcis-15830	111	25	on	on	ADP
fcis-15830	111	26	medical	medical	ADJ
fcis-15830	111	27	experts	expert	NOUN
fcis-15830	111	28	.	.	PUNCT
fcis-15830	112	1	people	people	NOUN
fcis-15830	112	2	with	with	ADP
fcis-15830	112	3	different	different	ADJ
fcis-15830	112	4	knowledge	knowledge	NOUN
fcis-15830	112	5	backgrounds	background	NOUN
fcis-15830	112	6	may	may	AUX
fcis-15830	112	7	have	have	VERB
fcis-15830	112	8	understanding	understand	VERB
fcis-15830	112	9	biases	bias	NOUN
fcis-15830	112	10	in	in	ADP
fcis-15830	112	11	communication	communication	NOUN
fcis-15830	112	12	,	,	PUNCT
fcis-15830	112	13	resulting	result	VERB
fcis-15830	112	14	in	in	ADP
fcis-15830	112	15	obstacles	obstacle	NOUN
fcis-15830	112	16	in	in	ADP
fcis-15830	112	17	the	the	DET
fcis-15830	112	18	development	development	NOUN
fcis-15830	112	19	process	process	NOUN
fcis-15830	112	20	.	.	PUNCT
fcis-15830	113	1	in	in	ADP
fcis-15830	113	2	particular	particular	ADJ
fcis-15830	113	3	,	,	PUNCT
fcis-15830	113	4	the	the	DET
fcis-15830	113	5	current	current	ADJ
fcis-15830	113	6	research	research	NOUN
fcis-15830	113	7	and	and	CCONJ
fcis-15830	113	8	development	development	NOUN
fcis-15830	113	9	of	of	ADP
fcis-15830	113	10	ai	ai	PRON
fcis-15830	113	11	pathological	pathological	ADJ
fcis-15830	113	12	diagnosis	diagnosis	NOUN
fcis-15830	113	13	system	system	NOUN
fcis-15830	113	14	mainly	mainly	ADV
fcis-15830	113	15	relies	rely	VERB
fcis-15830	113	16	on	on	ADP
fcis-15830	113	17	computer	computer	NOUN
fcis-15830	113	18	experts	expert	NOUN
fcis-15830	113	19	for	for	ADP
fcis-15830	113	20	the	the	DET
fcis-15830	113	21	purpose	purpose	NOUN
fcis-15830	113	22	of	of	ADP
fcis-15830	113	23	improving	improve	VERB
fcis-15830	113	24	the	the	DET
fcis-15830	113	25	accuracy	accuracy	NOUN
fcis-15830	113	26	of	of	ADP
fcis-15830	113	27	the	the	DET
fcis-15830	113	28	algorithm	algorithm	NOUN
fcis-15830	113	29	,	,	PUNCT
fcis-15830	113	30	while	while	SCONJ
fcis-15830	113	31	pathologists	pathologist	NOUN
fcis-15830	113	32	in	in	ADP
fcis-15830	113	33	most	most	ADJ
fcis-15830	113	34	cases	case	NOUN
fcis-15830	113	35	only	only	ADV
fcis-15830	113	36	annotate	annotate	VERB
fcis-15830	113	37	the	the	DET
fcis-15830	113	38	data	datum	NOUN
fcis-15830	113	39	and	and	CCONJ
fcis-15830	113	40	do	do	AUX
fcis-15830	113	41	not	not	PART
fcis-15830	113	42	really	really	ADV
fcis-15830	113	43	understand	understand	VERB
fcis-15830	113	44	the	the	DET
fcis-15830	113	45	process	process	NOUN
fcis-15830	113	46	of	of	ADP
fcis-15830	113	47	deep	deep	ADJ
fcis-15830	113	48	learning	learning	NOUN
fcis-15830	113	49	to	to	PART
fcis-15830	113	50	extract	extract	VERB
fcis-15830	113	51	image	image	NOUN
fcis-15830	113	52	features	feature	NOUN
fcis-15830	113	53	,	,	PUNCT
fcis-15830	113	54	which	which	PRON
fcis-15830	113	55	makes	make	VERB
fcis-15830	113	56	the	the	DET
fcis-15830	113	57	new	new	ADJ
fcis-15830	113	58	model	model	NOUN
fcis-15830	113	59	developed	develop	VERB
fcis-15830	113	60	by	by	ADP
fcis-15830	113	61	the	the	DET
fcis-15830	113	62	algorithm	algorithm	NOUN
fcis-15830	113	63	team	team	NOUN
fcis-15830	113	64	unable	unable	ADJ
fcis-15830	113	65	to	to	PART
fcis-15830	113	66	truly	truly	ADV
fcis-15830	113	67	solve	solve	VERB
fcis-15830	113	68	key	key	ADJ
fcis-15830	113	69	medical	medical	ADJ
fcis-15830	113	70	problems	problem	NOUN
fcis-15830	113	71	.	.	PUNCT
fcis-15830	114	1	therefore	therefore	ADV
fcis-15830	114	2	,	,	PUNCT
fcis-15830	114	3	only	only	ADV
fcis-15830	114	4	the	the	DET
fcis-15830	114	5	intersection	intersection	NOUN
fcis-15830	114	6	and	and	CCONJ
fcis-15830	114	7	integration	integration	NOUN
fcis-15830	114	8	of	of	ADP
fcis-15830	114	9	different	different	ADJ
fcis-15830	114	10	disciplines	discipline	NOUN
fcis-15830	114	11	and	and	CCONJ
fcis-15830	114	12	expertise	expertise	NOUN
fcis-15830	114	13	can	can	AUX
fcis-15830	114	14	achieve	achieve	VERB
fcis-15830	114	15	the	the	DET
fcis-15830	114	16	integration	integration	NOUN
fcis-15830	114	17	of	of	ADP
fcis-15830	114	18	knowledge	knowledge	NOUN
fcis-15830	114	19	in	in	ADP
fcis-15830	114	20	different	different	ADJ
fcis-15830	114	21	fields	field	NOUN
fcis-15830	114	22	,	,	PUNCT
fcis-15830	114	23	stimulate	stimulate	VERB
fcis-15830	114	24	innovative	innovative	ADJ
fcis-15830	114	25	thinking	thinking	NOUN
fcis-15830	114	26	,	,	PUNCT
fcis-15830	114	27	and	and	CCONJ
fcis-15830	114	28	promote	promote	VERB
fcis-15830	114	29	the	the	DET
fcis-15830	114	30	practical	practical	ADJ
fcis-15830	114	31	application	application	NOUN
fcis-15830	114	32	of	of	ADP
fcis-15830	114	33	ai	ai	PROPN
fcis-15830	114	34	technology	technology	NOUN
fcis-15830	114	35	in	in	ADP
fcis-15830	114	36	toxic	toxic	ADJ
fcis-15830	114	37	pathology	pathology	NOUN
fcis-15830	114	38	.	.	PUNCT
fcis-15830	115	1	in	in	ADP
fcis-15830	115	2	conclusion	conclusion	NOUN
fcis-15830	115	3	,	,	PUNCT
fcis-15830	115	4	although	although	SCONJ
fcis-15830	115	5	there	there	PRON
fcis-15830	115	6	are	be	VERB
fcis-15830	115	7	some	some	DET
fcis-15830	115	8	challenges	challenge	NOUN
fcis-15830	115	9	in	in	ADP
fcis-15830	115	10	the	the	DET
fcis-15830	115	11	application	application	NOUN
fcis-15830	115	12	of	of	ADP
fcis-15830	115	13	ai	ai	NOUN
fcis-15830	115	14	in	in	ADP
fcis-15830	115	15	the	the	DET
fcis-15830	115	16	field	field	NOUN
fcis-15830	115	17	of	of	ADP
fcis-15830	115	18	toxicity	toxicity	NOUN
fcis-15830	115	19	pathology	pathology	NOUN
fcis-15830	115	20	at	at	ADP
fcis-15830	115	21	this	this	DET
fcis-15830	115	22	stage	stage	NOUN
fcis-15830	115	23	,	,	PUNCT
fcis-15830	115	24	the	the	DET
fcis-15830	115	25	complete	complete	ADJ
fcis-15830	115	26	replacement	replacement	NOUN
fcis-15830	115	27	of	of	ADP
fcis-15830	115	28	the	the	DET
fcis-15830	115	29	professional	professional	ADJ
fcis-15830	115	30	assessment	assessment	NOUN
fcis-15830	115	31	of	of	ADP
fcis-15830	115	32	pathologists	pathologist	NOUN
fcis-15830	115	33	by	by	ADP
fcis-15830	115	34	computers	computer	NOUN
fcis-15830	115	35	will	will	AUX
fcis-15830	115	36	require	require	VERB
fcis-15830	115	37	deeper	deep	ADJ
fcis-15830	115	38	and	and	CCONJ
fcis-15830	115	39	more	more	ADV
fcis-15830	115	40	extensive	extensive	ADJ
fcis-15830	115	41	research	research	NOUN
fcis-15830	115	42	in	in	ADP
fcis-15830	115	43	model	model	NOUN
fcis-15830	115	44	building	building	NOUN
fcis-15830	115	45	and	and	CCONJ
fcis-15830	115	46	algorithm	algorithm	NOUN
fcis-15830	115	47	development	development	NOUN
fcis-15830	115	48	.	.	PUNCT
fcis-15830	116	1	as	as	SCONJ
fcis-15830	116	2	the	the	DET
fcis-15830	116	3	development	development	NOUN
fcis-15830	116	4	of	of	ADP
fcis-15830	116	5	computer	computer	NOUN
fcis-15830	116	6	science	science	NOUN
fcis-15830	116	7	becomes	become	VERB
fcis-15830	116	8	more	more	ADV
fcis-15830	116	9	and	and	CCONJ
fcis-15830	116	10	more	more	ADV
fcis-15830	116	11	closely	closely	ADV
fcis-15830	116	12	related	relate	VERB
fcis-15830	116	13	to	to	ADP
fcis-15830	116	14	the	the	DET
fcis-15830	116	15	medical	medical	ADJ
fcis-15830	116	16	and	and	CCONJ
fcis-15830	116	17	health	health	NOUN
fcis-15830	116	18	professions	profession	NOUN
fcis-15830	116	19	,	,	PUNCT
fcis-15830	116	20	it	it	PRON
fcis-15830	116	21	is	be	AUX
fcis-15830	116	22	possible	possible	ADJ
fcis-15830	116	23	to	to	PART
fcis-15830	116	24	eventually	eventually	ADV
fcis-15830	116	25	change	change	VERB
fcis-15830	116	26	the	the	DET
fcis-15830	116	27	existing	exist	VERB
fcis-15830	116	28	pathology	pathology	NOUN
fcis-15830	116	29	workflow	workflow	NOUN
fcis-15830	116	30	,	,	PUNCT
fcis-15830	116	31	contribute	contribute	VERB
fcis-15830	116	32	to	to	ADP
fcis-15830	116	33	the	the	DET
fcis-15830	116	34	quantitative	quantitative	ADJ
fcis-15830	116	35	,	,	PUNCT
fcis-15830	116	36	analytical	analytical	ADJ
fcis-15830	116	37	and	and	CCONJ
fcis-15830	116	38	predictive	predictive	ADJ
fcis-15830	116	39	toxicity	toxicity	NOUN
fcis-15830	116	40	pathology	pathology	NOUN
fcis-15830	116	41	data	datum	NOUN
fcis-15830	116	42	,	,	PUNCT
fcis-15830	116	43	and	and	CCONJ
fcis-15830	116	44	bring	bring	VERB
fcis-15830	116	45	new	new	ADJ
fcis-15830	116	46	opportunities	opportunity	NOUN
fcis-15830	116	47	for	for	ADP
fcis-15830	116	48	the	the	DET
fcis-15830	116	49	development	development	NOUN
fcis-15830	116	50	of	of	ADP
fcis-15830	116	51	toxicity	toxicity	NOUN
fcis-15830	116	52	pathology	pathology	NOUN
fcis-15830	116	53	.	.	PUNCT
fcis-15830	117	1	acknowledgments	acknowledgment	NOUN
fcis-15830	117	2	deep	deep	ADJ
fcis-15830	117	3	learning	learning	NOUN
fcis-15830	117	4	for	for	ADP
fcis-15830	117	5	precise	precise	ADJ
fcis-15830	117	6	robot	robot	NOUN
fcis-15830	117	7	position	position	NOUN
fcis-15830	117	8	prediction	prediction	NOUN
fcis-15830	117	9	in	in	ADP
fcis-15830	117	10	logistics	logistic	NOUN
fcis-15830	117	11	.	.	PUNCT
fcis-15830	118	1	http://8.218.247.20/index.php/jtpes/article/view/315	http://8.218.247.20/index.php/jtpes/article/view/315	PROPN
fcis-15830	118	2	.	.	PROPN
fcis-15830	118	3	comment	comment	NOUN
fcis-15830	118	4	:	:	PUNCT
fcis-15830	118	5	this	this	DET
fcis-15830	118	6	article	article	NOUN
fcis-15830	118	7	describes	describe	VERB
fcis-15830	118	8	the	the	DET
fcis-15830	118	9	extensive	extensive	ADJ
fcis-15830	118	10	experimental	experimental	ADJ
fcis-15830	118	11	progress	progress	NOUN
fcis-15830	118	12	of	of	ADP
fcis-15830	118	13	machine	machine	NOUN
fcis-15830	118	14	learning	learning	NOUN
fcis-15830	118	15	and	and	CCONJ
fcis-15830	118	16	deep	deep	ADJ
fcis-15830	118	17	learning	learning	NOUN
fcis-15830	118	18	-	-	PUNCT
fcis-15830	118	19	related	relate	VERB
fcis-15830	118	20	techniques	technique	NOUN
fcis-15830	118	21	in	in	ADP
fcis-15830	118	22	real	real	ADJ
fcis-15830	118	23	-	-	PUNCT
fcis-15830	118	24	world	world	NOUN
fcis-15830	118	25	use	use	NOUN
fcis-15830	118	26	.	.	PUNCT
fcis-15830	119	1	it	it	PRON
fcis-15830	119	2	has	have	VERB
fcis-15830	119	3	certain	certain	ADJ
fcis-15830	119	4	influence	influence	NOUN
fcis-15830	119	5	and	and	CCONJ
fcis-15830	119	6	practical	practical	ADJ
fcis-15830	119	7	effect	effect	NOUN
fcis-15830	119	8	,	,	PUNCT
fcis-15830	119	9	and	and	CCONJ
fcis-15830	119	10	the	the	DET
fcis-15830	119	11	report	report	NOUN
fcis-15830	119	12	of	of	ADP
fcis-15830	119	13	its	its	PRON
fcis-15830	119	14	first	first	ADJ
fcis-15830	119	15	demonstration	demonstration	NOUN
fcis-15830	119	16	is	be	AUX
fcis-15830	119	17	worthy	worthy	ADJ
fcis-15830	119	18	of	of	ADP
fcis-15830	119	19	publication	publication	NOUN
fcis-15830	119	20	in	in	ADP
fcis-15830	119	21	a	a	DET
fcis-15830	119	22	journal	journal	NOUN
fcis-15830	119	23	.	.	PUNCT
fcis-15830	120	1	the	the	DET
fcis-15830	120	2	author	author	NOUN
fcis-15830	120	3	does	do	VERB
fcis-15830	120	4	a	a	DET
fcis-15830	120	5	good	good	ADJ
fcis-15830	120	6	job	job	NOUN
fcis-15830	120	7	of	of	ADP
fcis-15830	120	8	directing	direct	VERB
fcis-15830	120	9	the	the	DET
fcis-15830	120	10	reader	reader	NOUN
fcis-15830	120	11	to	to	ADP
fcis-15830	120	12	an	an	DET
fcis-15830	120	13	area	area	NOUN
fcis-15830	120	14	where	where	SCONJ
fcis-15830	120	15	there	there	PRON
fcis-15830	120	16	is	be	VERB
fcis-15830	120	17	a	a	DET
fcis-15830	120	18	great	great	ADJ
fcis-15830	120	19	deal	deal	NOUN
fcis-15830	120	20	of	of	ADP
fcis-15830	120	21	work	work	NOUN
fcis-15830	120	22	to	to	PART
fcis-15830	120	23	investigate	investigate	VERB
fcis-15830	120	24	.	.	PUNCT
fcis-15830	121	1	references	reference	NOUN
fcis-15830	121	2	[	[	X
fcis-15830	121	3	1	1	X
fcis-15830	121	4	]	]	PUNCT
fcis-15830	121	5	colom	colom	PROPN
fcis-15830	121	6	r	r	PROPN
fcis-15830	121	7	,	,	PUNCT
fcis-15830	121	8	karama	karama	PROPN
fcis-15830	121	9	s	s	PROPN
fcis-15830	121	10	,	,	PUNCT
fcis-15830	121	11	jung	jung	NOUN
fcis-15830	121	12	r	r	NOUN
fcis-15830	121	13	e	e	PROPN
fcis-15830	121	14	,	,	PUNCT
fcis-15830	121	15	et	et	PROPN
fcis-15830	121	16	al	al	PROPN
fcis-15830	121	17	.	.	PROPN
fcis-15830	122	1	human	human	ADJ
fcis-15830	122	2	intelligenceand	intelligenceand	NOUN
fcis-15830	122	3	brain	brain	NOUN
fcis-15830	122	4	networks	network	NOUN
fcis-15830	123	1	[	[	X
fcis-15830	123	2	j	j	X
fcis-15830	123	3	]	]	X
fcis-15830	123	4	.	.	PUNCT
fcis-15830	124	1	dialogues	dialogue	NOUN
fcis-15830	124	2	clin	clin	PROPN
fcis-15830	124	3	neurosci	neurosci	PROPN
fcis-15830	124	4	,	,	PUNCT
fcis-15830	124	5	2010	2010	NUM
fcis-15830	124	6	,	,	PUNCT
fcis-15830	124	7	12(4	12(4	NUM
fcis-15830	124	8	):	):	PUNCT
fcis-15830	124	9	489501	489501	NUM
fcis-15830	124	10	.	.	PUNCT
fcis-15830	125	1	[	[	X
fcis-15830	125	2	2	2	X
fcis-15830	125	3	]	]	AUX
fcis-15830	125	4	janowczyk	janowczyk	NOUN
fcis-15830	125	5	a	a	PRON
fcis-15830	125	6	,	,	PUNCT
fcis-15830	125	7	madabhushi	madabhushi	PROPN
fcis-15830	125	8	a.	a.	PROPN
fcis-15830	125	9	deep	deep	PROPN
fcis-15830	125	10	learning	learn	VERB
fcis-15830	125	11	for	for	ADP
fcis-15830	125	12	digitalpathology	digitalpathology	NOUN
fcis-15830	125	13	image	image	NOUN
fcis-15830	125	14	analysis	analysis	NOUN
fcis-15830	125	15	:	:	PUNCT
fcis-15830	125	16	a	a	DET
fcis-15830	125	17	comprehensive	comprehensive	ADJ
fcis-15830	125	18	tutorial	tutorial	NOUN
fcis-15830	125	19	withselected	withselecte	VERB
fcis-15830	125	20	use	use	NOUN
fcis-15830	125	21	cases	case	NOUN
fcis-15830	125	22	[	[	X
fcis-15830	125	23	j]pathol	j]pathol	PROPN
fcis-15830	125	24	inform	inform	VERB
fcis-15830	125	25	,	,	PUNCT
fcis-15830	125	26	2016	2016	NUM
fcis-15830	125	27	,	,	PUNCT
fcis-15830	125	28	doi:10	doi:10	NOUN
fcis-15830	125	29	4103/	4103/	NUM
fcis-15830	125	30	2153	2153	NUM
fcis-15830	125	31	-	-	PUNCT
fcis-15830	125	32	3539.186902	3539.186902	NUM
fcis-15830	125	33	.	.	PUNCT
fcis-15830	126	1	[	[	X
fcis-15830	126	2	3	3	X
fcis-15830	126	3	]	]	X
fcis-15830	126	4	smith	smith	PROPN
fcis-15830	126	5	g	g	PROPN
fcis-15830	126	6	f	f	PROPN
fcis-15830	126	7	artificial	artificial	ADJ
fcis-15830	126	8	intelligence	intelligence	NOUN
fcis-15830	126	9	in	in	ADP
fcis-15830	126	10	drug	drug	NOUN
fcis-15830	126	11	safety	safety	NOUN
fcis-15830	126	12	andmetabolism	andmetabolism	NOUN
fcis-15830	126	13	[	[	X
fcis-15830	126	14	j	j	X
fcis-15830	126	15	]	]	X
fcis-15830	126	16	.	.	PUNCT
fcis-15830	127	1	methods	method	NOUN
fcis-15830	127	2	mol	mol	ADP
fcis-15830	127	3	biol	biol	PROPN
fcis-15830	127	4	,	,	PUNCT
fcis-15830	127	5	2022	2022	NUM
fcis-15830	127	6	,	,	PUNCT
fcis-15830	127	7	doi	doi	NOUN
fcis-15830	127	8	:	:	PUNCT
fcis-15830	127	9	10.1007.978	10.1007.978	NUM
fcis-15830	127	10	-	-	PUNCT
fcis-15830	127	11	1	1	NUM
fcis-15830	127	12	-	-	PUNCT
fcis-15830	127	13	0716	0716	NUM
fcis-15830	127	14	-	-	SYM
fcis-15830	127	15	1787	1787	NUM
fcis-15830	127	16	-	-	SYM
fcis-15830	127	17	8	8	NUM
fcis-15830	127	18	22	22	NUM
fcis-15830	127	19	.	.	PUNCT
fcis-15830	128	1	[	[	X
fcis-15830	128	2	4	4	X
fcis-15830	128	3	]	]	PUNCT
fcis-15830	128	4	aeffner	aeffner	NOUN
fcis-15830	128	5	f	f	NOUN
fcis-15830	128	6	,	,	PUNCT
fcis-15830	128	7	sing	sing	VERB
fcis-15830	128	8	t	t	PROPN
fcis-15830	128	9	,	,	PUNCT
fcis-15830	128	10	turner	turner	PROPN
fcis-15830	128	11	o	o	PROPN
fcis-15830	128	12	c.	c.	PROPN
fcis-15830	128	13	special	special	ADJ
fcis-15830	128	14	issue	issue	NOUN
fcis-15830	128	15	on	on	ADP
fcis-15830	128	16	digitalpathology	digitalpathology	NOUN
fcis-15830	128	17	,	,	PUNCT
fcis-15830	128	18	tissue	tissue	NOUN
fcis-15830	128	19	image	image	NOUN
fcis-15830	128	20	analysis	analysis	NOUN
fcis-15830	128	21	,	,	PUNCT
fcis-15830	128	22	artificial	artificial	ADJ
fcis-15830	128	23	intelligence	intelligence	NOUN
fcis-15830	128	24	.	.	PUNCT
fcis-15830	129	1	and	and	CCONJ
fcis-15830	129	2	machine	machine	NOUN
fcis-15830	129	3	learning	learning	NOUN
fcis-15830	129	4	:	:	PUNCT
fcis-15830	129	5	approximation	approximation	NOUN
fcis-15830	129	6	of	of	ADP
fcis-15830	129	7	the	the	DET
fcis-15830	129	8	effect	effect	NOUN
fcis-15830	129	9	ofnovel	ofnovel	ADJ
fcis-15830	129	10	technologies	technology	NOUN
fcis-15830	129	11	on	on	ADP
fcis-15830	129	12	toxicologic	toxicologic	ADJ
fcis-15830	129	13	pathology	pathology	NOUN
fcis-15830	130	1	[	[	X
fcis-15830	130	2	j	j	X
fcis-15830	130	3	]	]	X
fcis-15830	130	4	.	.	PUNCT
fcis-15830	131	1	toxicol	toxicol	PROPN
fcis-15830	131	2	patho1	patho1	PROPN
fcis-15830	131	3	.	.	PUNCT
fcis-15830	132	1	2021.49(4	2021.49(4	NUM
fcis-15830	132	2	):	):	PUNCT
fcis-15830	132	3	705	705	NUM
fcis-15830	132	4	-	-	SYM
fcis-15830	132	5	708	708	NUM
fcis-15830	132	6	.	.	PUNCT
fcis-15830	133	1	[	[	X
fcis-15830	133	2	5	5	NUM
fcis-15830	133	3	]	]	X
fcis-15830	133	4	pantanowitz	pantanowitz	NOUN
fcis-15830	133	5	l.	l.	PROPN
fcis-15830	133	6	valenstein	valenstein	PROPN
fcis-15830	133	7	p	p	PROPN
fcis-15830	133	8	n.	n.	PROPN
fcis-15830	133	9	evans	evans	PROPN
fcis-15830	133	10	a	a	DET
fcis-15830	133	11	j.	j.	PROPN
fcis-15830	133	12	et	et	PROPN
fcis-15830	133	13	al	al	PROPN
fcis-15830	133	14	.	.	PROPN
fcis-15830	133	15	reviewof	reviewof	VERB
fcis-15830	133	16	the	the	DET
fcis-15830	133	17	current	current	ADJ
fcis-15830	133	18	state	state	NOUN
fcis-15830	133	19	of	of	ADP
fcis-15830	133	20	whole	whole	ADJ
fcis-15830	133	21	slide	slide	NOUN
fcis-15830	133	22	imaging	imaging	NOUN
fcis-15830	133	23	in	in	ADP
fcis-15830	133	24	pathologi	pathologi	PROPN
fcis-15830	133	25	.	.	PUNCT
fcis-15830	134	1	j	j	PROPN
fcis-15830	134	2	pathol	pathol	NOUN
fcis-15830	134	3	inform,2011	inform,2011	NOUN
fcis-15830	134	4	,	,	PUNCT
fcis-15830	134	5	doi:10.4103/2153	doi:10.4103/2153	NOUN
fcis-15830	134	6	-	-	PUNCT
fcis-15830	134	7	3539.83746	3539.83746	NOUN
fcis-15830	134	8	.	.	PUNCT
fcis-15830	135	1	[	[	X
fcis-15830	135	2	6	6	NUM
fcis-15830	135	3	]	]	X
fcis-15830	135	4	chang	chang	PROPN
fcis-15830	135	5	che	che	PROPN
fcis-15830	135	6	,	,	PUNCT
fcis-15830	135	7	bo	bo	PROPN
fcis-15830	135	8	liu	liu	PROPN
fcis-15830	135	9	,	,	PUNCT
fcis-15830	135	10	shulin	shulin	PROPN
fcis-15830	135	11	li	li	PROPN
fcis-15830	135	12	,	,	PUNCT
fcis-15830	135	13	jiaxin	jiaxin	PROPN
fcis-15830	135	14	huang	huang	PROPN
fcis-15830	135	15	,	,	PUNCT
fcis-15830	135	16	and	and	CCONJ
fcis-15830	135	17	hao	hao	PROPN
fcis-15830	135	18	hu	hu	PROPN
fcis-15830	135	19	.	.	PUNCT
fcis-15830	136	1	deep	deep	ADJ
fcis-15830	136	2	learning	learning	NOUN
fcis-15830	136	3	for	for	ADP
fcis-15830	136	4	precise	precise	ADJ
fcis-15830	136	5	robot	robot	NOUN
fcis-15830	136	6	position	position	NOUN
fcis-15830	136	7	prediction	prediction	NOUN
fcis-15830	136	8	in	in	ADP
fcis-15830	136	9	logistics	logistic	NOUN
fcis-15830	136	10	.	.	PUNCT
fcis-15830	137	1	journal	journal	PROPN
fcis-15830	137	2	of	of	ADP
fcis-15830	137	3	theory	theory	NOUN
fcis-15830	137	4	and	and	CCONJ
fcis-15830	137	5	practice	practice	NOUN
fcis-15830	137	6	of	of	ADP
fcis-15830	137	7	engineering	engineering	NOUN
fcis-15830	137	8	science	science	NOUN
fcis-15830	137	9	,	,	PUNCT
fcis-15830	137	10	3(10):36–41	3(10):36–41	NUM
fcis-15830	137	11	,	,	PUNCT
fcis-15830	137	12	2023	2023	NUM
fcis-15830	137	13	.	.	PUNCT
fcis-15830	138	1	[	[	X
fcis-15830	138	2	7	7	X
fcis-15830	138	3	]	]	X
fcis-15830	138	4	hao	hao	PROPN
fcis-15830	138	5	hu	hu	PROPN
fcis-15830	138	6	,	,	PUNCT
fcis-15830	138	7	shulin	shulin	PROPN
fcis-15830	138	8	li	li	PROPN
fcis-15830	138	9	,	,	PUNCT
fcis-15830	138	10	jiaxin	jiaxin	PROPN
fcis-15830	138	11	huang	huang	PROPN
fcis-15830	138	12	,	,	PUNCT
fcis-15830	138	13	bo	bo	PROPN
fcis-15830	138	14	liu	liu	PROPN
fcis-15830	138	15	,	,	PUNCT
fcis-15830	138	16	and	and	CCONJ
fcis-15830	138	17	change	change	VERB
fcis-15830	138	18	che	che	PROPN
fcis-15830	138	19	.	.	PUNCT
fcis-15830	139	1	casting	cast	VERB
fcis-15830	139	2	product	product	NOUN
fcis-15830	139	3	image	image	NOUN
fcis-15830	139	4	data	datum	NOUN
fcis-15830	139	5	for	for	ADP
fcis-15830	139	6	quality	quality	NOUN
fcis-15830	139	7	inspection	inspection	NOUN
fcis-15830	139	8	with	with	ADP
fcis-15830	139	9	xception	xception	NOUN
fcis-15830	139	10	and	and	CCONJ
fcis-15830	139	11	data	datum	NOUN
fcis-15830	139	12	augmentation	augmentation	NOUN
fcis-15830	139	13	.	.	PUNCT
fcis-15830	140	1	journal	journal	PROPN
fcis-15830	140	2	of	of	ADP
fcis-15830	140	3	theory	theory	NOUN
fcis-15830	140	4	and	and	CCONJ
fcis-15830	140	5	practice	practice	NOUN
fcis-15830	140	6	of	of	ADP
fcis-15830	140	7	engineering	engineering	NOUN
fcis-15830	140	8	science	science	NOUN
fcis-15830	140	9	,	,	PUNCT
fcis-15830	140	10	3(10):42–46	3(10):42–46	NUM
fcis-15830	140	11	,	,	PUNCT
fcis-15830	140	12	2023	2023	NUM
fcis-15830	140	13	.	.	PUNCT
fcis-15830	141	1	https://doi.org/	https://doi.org/	NOUN
fcis-15830	141	2	10.53469	10.53469	NUM
fcis-15830	141	3	/	/	SYM
fcis-15830	141	4	jtpes.2023.03(10).06	jtpes.2023.03(10).06	PROPN
fcis-15830	141	5	.	.	PUNCT
fcis-15830	142	1	[	[	X
fcis-15830	142	2	8	8	NUM
fcis-15830	142	3	]	]	X
fcis-15830	142	4	turner	turner	PROPN
fcis-15830	142	5	o	o	PROPN
fcis-15830	142	6	c.	c.	PROPN
fcis-15830	142	7	knight	knight	PROPN
fcis-15830	142	8	b.	b.	PROPN
fcis-15830	142	9	zuraw	zuraw	PROPN
fcis-15830	143	1	a	a	DET
fcis-15830	143	2	et	et	PROPN
fcis-15830	143	3	al	al	PROPN
fcis-15830	143	4	.	.	PUNCT
fcis-15830	143	5	mini	mini	PROPN
fcis-15830	143	6	review	review	PROPN
fcis-15830	143	7	:	:	PUNCT
fcis-15830	143	8	thelast	thelast	ADJ
fcis-15830	143	9	mile	mile	NOUN
fcis-15830	143	10	-	-	PUNCT
fcis-15830	143	11	opportunities	opportunity	NOUN
fcis-15830	143	12	and	and	CCONJ
fcis-15830	143	13	challenges	challenge	NOUN
fcis-15830	143	14	for	for	ADP
fcis-15830	143	15	machinelearning	machinelearne	VERB
fcis-15830	143	16	in	in	ADP
fcis-15830	143	17	digital	digital	ADJ
fcis-15830	143	18	toxicologic	toxicologic	ADJ
fcis-15830	143	19	pathology	pathology	NOUN
fcis-15830	144	1	[	[	X
fcis-15830	144	2	j	j	X
fcis-15830	144	3	]	]	X
fcis-15830	144	4	.	.	PUNCT
fcis-15830	145	1	toxicolpathol,2021,49(4	toxicolpathol,2021,49(4	NOUN
fcis-15830	145	2	):	):	PUNCT
fcis-15830	145	3	714	714	NUM
fcis-15830	145	4	-	-	SYM
fcis-15830	145	5	719	719	NUM
fcis-15830	145	6	.	.	PUNCT
fcis-15830	146	1	[	[	X
fcis-15830	146	2	9	9	NUM
fcis-15830	146	3	]	]	SYM
fcis-15830	146	4	yao	yao	NOUN
fcis-15830	146	5	,	,	PUNCT
fcis-15830	146	6	j.	j.	PROPN
fcis-15830	146	7	,	,	PUNCT
fcis-15830	146	8	zou	zou	PROPN
fcis-15830	146	9	,	,	PUNCT
fcis-15830	146	10	y.	y.	PROPN
fcis-15830	146	11	,	,	PUNCT
fcis-15830	146	12	du	du	PROPN
fcis-15830	146	13	,	,	PUNCT
fcis-15830	146	14	s.	s.	PROPN
fcis-15830	146	15	,	,	PUNCT
fcis-15830	146	16	wu	wu	PROPN
fcis-15830	146	17	,	,	PUNCT
fcis-15830	146	18	h.	h.	PROPN
fcis-15830	146	19	,	,	PUNCT
fcis-15830	146	20	&	&	CCONJ
fcis-15830	146	21	yuan	yuan	PROPN
fcis-15830	146	22	,	,	PUNCT
fcis-15830	146	23	b.	b.	PROPN
fcis-15830	146	24	progress	progress	NOUN
fcis-15830	146	25	in	in	ADP
fcis-15830	146	26	the	the	DET
fcis-15830	146	27	application	application	NOUN
fcis-15830	146	28	of	of	ADP
fcis-15830	146	29	artificial	artificial	ADJ
fcis-15830	146	30	intelligence	intelligence	NOUN
fcis-15830	146	31	in	in	ADP
fcis-15830	146	32	ultrasound	ultrasound	ADJ
fcis-15830	146	33	diagnosis	diagnosis	NOUN
fcis-15830	146	34	of	of	ADP
fcis-15830	146	35	breast	breast	NOUN
fcis-15830	146	36	cancer	cancer	NOUN
fcis-15830	146	37	.	.	PUNCT
fcis-15830	147	1	[	[	X
fcis-15830	147	2	10	10	NUM
fcis-15830	147	3	]	]	X
fcis-15830	147	4	ching	ching	PROPN
fcis-15830	147	5	t	t	PROPN
fcis-15830	147	6	,	,	PUNCT
fcis-15830	147	7	himmelstein	himmelstein	PROPN
fcis-15830	147	8	d	d	PROPN
fcis-15830	147	9	s	s	PART
fcis-15830	147	10	beaulieu	beaulieu	NOUN
fcis-15830	147	11	-	-	PUNCT
fcis-15830	147	12	jones	jones	PROPN
fcis-15830	147	13	b	b	PROPN
fcis-15830	147	14	k	k	PROPN
fcis-15830	147	15	,	,	PUNCT
fcis-15830	147	16	et	et	PROPN
fcis-15830	147	17	alopportunities	alopportunitie	NOUN
fcis-15830	147	18	and	and	CCONJ
fcis-15830	147	19	obstacles	obstacle	NOUN
fcis-15830	147	20	for	for	ADP
fcis-15830	147	21	deep	deep	ADJ
fcis-15830	147	22	learning	learning	NOUN
fcis-15830	147	23	in	in	ADP
fcis-15830	147	24	biologyand	biologyand	NOUN
fcis-15830	147	25	medicine	medicine	NOUN
fcis-15830	148	1	[	[	X
fcis-15830	148	2	j	j	X
fcis-15830	148	3	]	]	X
fcis-15830	148	4	,	,	PUNCT
fcis-15830	148	5	r	r	NOUN
fcis-15830	148	6	soc	soc	NOUN
fcis-15830	148	7	interface	interface	NOUN
fcis-15830	148	8	.	.	PUNCT
fcis-15830	149	1	2018	2018	NUM
fcis-15830	149	2	.	.	PUNCT
fcis-15830	150	1	doi	doi	NOUN
fcis-15830	150	2	:	:	PUNCT
fcis-15830	150	3	10.1098rsif	10.1098rsif	NUM
fcis-15830	150	4	.	.	PROPN
fcis-15830	150	5	2017	2017	NUM
fcis-15830	150	6	.	.	PUNCT
fcis-15830	150	7	0387	0387	NUM
fcis-15830	150	8	.	.	PUNCT
fcis-15830	151	1	[	[	X
fcis-15830	151	2	11	11	NUM
fcis-15830	151	3	]	]	SYM
fcis-15830	151	4	tianbo	tianbo	NOUN
fcis-15830	151	5	,	,	PUNCT
fcis-15830	151	6	song	song	NOUN
fcis-15830	151	7	,	,	PUNCT
fcis-15830	151	8	hu	hu	PROPN
fcis-15830	151	9	weijun	weijun	PROPN
fcis-15830	151	10	,	,	PUNCT
fcis-15830	151	11	cai	cai	PROPN
fcis-15830	151	12	jiangfeng	jiangfeng	PROPN
fcis-15830	151	13	,	,	PUNCT
fcis-15830	151	14	liu	liu	PROPN
fcis-15830	151	15	weijia	weijia	PROPN
fcis-15830	151	16	,	,	PUNCT
fcis-15830	151	17	yuan	yuan	PROPN
fcis-15830	151	18	quan	quan	PROPN
fcis-15830	151	19	,	,	PUNCT
fcis-15830	151	20	and	and	CCONJ
fcis-15830	151	21	he	he	PRON
fcis-15830	151	22	kun	kun	NOUN
fcis-15830	151	23	.	.	PUNCT
fcis-15830	152	1	"	"	PUNCT
fcis-15830	152	2	bio	bio	ADJ
fcis-15830	152	3	-	-	PUNCT
fcis-15830	152	4	inspired	inspired	ADJ
fcis-15830	152	5	swarm	swarm	NOUN
fcis-15830	152	6	intelligence	intelligence	NOUN
fcis-15830	152	7	:	:	PUNCT
fcis-15830	152	8	a	a	DET
fcis-15830	152	9	flocking	flock	VERB
fcis-15830	152	10	project	project	NOUN
fcis-15830	152	11	with	with	ADP
fcis-15830	152	12	group	group	NOUN
fcis-15830	152	13	object	object	NOUN
fcis-15830	152	14	recognition	recognition	NOUN
fcis-15830	152	15	.	.	PUNCT
fcis-15830	152	16	"	"	PUNCT
fcis-15830	153	1	in	in	ADP
fcis-15830	153	2	2023	2023	NUM
fcis-15830	153	3	3rd	3rd	ADJ
fcis-15830	153	4	international	international	ADJ
fcis-15830	153	5	conference	conference	NOUN
fcis-15830	153	6	on	on	ADP
fcis-15830	153	7	consumer	consumer	NOUN
fcis-15830	153	8	electronics	electronic	NOUN
fcis-15830	153	9	and	and	CCONJ
fcis-15830	153	10	computer	computer	NOUN
fcis-15830	153	11	engineering	engineering	NOUN
fcis-15830	153	12	(	(	PUNCT
fcis-15830	153	13	iccece	iccece	PROPN
fcis-15830	153	14	)	)	PUNCT
fcis-15830	153	15	,	,	PUNCT
fcis-15830	153	16	pp	pp	PROPN
fcis-15830	153	17	.	.	PUNCT
fcis-15830	154	1	834	834	NUM
fcis-15830	154	2	-	-	SYM
fcis-15830	154	3	837	837	NUM
fcis-15830	154	4	.	.	PUNCT
fcis-15830	155	1	ieee	ieee	NOUN
fcis-15830	155	2	,	,	PUNCT
fcis-15830	155	3	2023	2023	NUM
fcis-15830	155	4	.	.	PUNCT
fcis-15830	156	1	doi	doi	NOUN
fcis-15830	156	2	:	:	PUNCT
fcis-15830	156	3	10.1109	10.1109	NUM
fcis-15830	156	4	/	/	SYM
fcis-15830	156	5	mce.2022.3206678	mce.2022.3206678	NUM
fcis-15830	156	6	.	.	PUNCT
fcis-15830	157	1	[	[	X
fcis-15830	157	2	12	12	NUM
fcis-15830	157	3	]	]	X
fcis-15830	157	4	yang	yang	PROPN
fcis-15830	157	5	,	,	PUNCT
fcis-15830	157	6	d.	d.	PROPN
fcis-15830	157	7	,	,	PUNCT
fcis-15830	157	8	mashima	mashima	PROPN
fcis-15830	157	9	,	,	PUNCT
fcis-15830	157	10	d.	d.	PROPN
fcis-15830	157	11	,	,	PUNCT
fcis-15830	157	12	lin	lin	PROPN
fcis-15830	157	13	,	,	PUNCT
fcis-15830	157	14	w.	w.	PROPN
fcis-15830	157	15	,	,	PUNCT
fcis-15830	157	16	&	&	CCONJ
fcis-15830	157	17	zhou	zhou	PROPN
fcis-15830	157	18	,	,	PUNCT
fcis-15830	157	19	j.	j.	PROPN
fcis-15830	157	20	(	(	PUNCT
fcis-15830	157	21	2020	2020	NUM
fcis-15830	157	22	)	)	PUNCT
fcis-15830	157	23	.	.	PUNCT
fcis-15830	158	1	decied	decie	VERB
fcis-15830	158	2	:	:	PUNCT
fcis-15830	158	3	scalable	scalable	ADJ
fcis-15830	158	4	k	k	ADJ
fcis-15830	158	5	-	-	ADJ
fcis-15830	158	6	anonymous	anonymous	ADJ
fcis-15830	158	7	deception	deception	NOUN
fcis-15830	158	8	for	for	ADP
fcis-15830	158	9	iec61850	iec61850	NOUN
fcis-15830	158	10	-	-	PUNCT
fcis-15830	158	11	compliant	compliant	ADJ
fcis-15830	158	12	smart	smart	ADJ
fcis-15830	158	13	grid	grid	NOUN
fcis-15830	158	14	systems	system	NOUN
fcis-15830	158	15	.	.	PUNCT
fcis-15830	159	1	proceedings	proceeding	NOUN
fcis-15830	159	2	of	of	ADP
fcis-15830	159	3	the	the	DET
fcis-15830	159	4	6th	6th	ADJ
fcis-15830	159	5	acm	acm	NOUN
fcis-15830	159	6	on	on	ADP
fcis-15830	159	7	cyberphysical	cyberphysical	ADJ
fcis-15830	159	8	system	system	NOUN
fcis-15830	159	9	security	security	NOUN
fcis-15830	159	10	workshop	workshop	NOUN
fcis-15830	159	11	.	.	PUNCT
fcis-15830	160	1	[	[	X
fcis-15830	160	2	13	13	NUM
fcis-15830	160	3	]	]	X
fcis-15830	160	4	turner	turner	NOUN
fcis-15830	160	5	o	o	PROPN
fcis-15830	160	6	c	c	PROPN
fcis-15830	160	7	,	,	PUNCT
fcis-15830	160	8	aeffner	aeffner	ADV
fcis-15830	160	9	f	f	NOUN
fcis-15830	160	10	,	,	PUNCT
fcis-15830	160	11	bangari	bangari	PROPN
fcis-15830	160	12	d	d	PROPN
fcis-15830	160	13	s	s	PROPN
fcis-15830	160	14	,	,	PUNCT
fcis-15830	160	15	et	et	PROPN
fcis-15830	160	16	al	al	PROPN
fcis-15830	160	17	.	.	PUNCT
fcis-15830	161	1	society	society	PROPN
fcis-15830	161	2	of4)toxicologic	of4)toxicologic	PROPN
fcis-15830	161	3	pathology	pathology	NOUN
fcis-15830	161	4	digital	digital	ADJ
fcis-15830	161	5	pathology	pathology	NOUN
fcis-15830	161	6	and	and	CCONJ
fcis-15830	161	7	imageanalysis	imageanalysis	NOUN
fcis-15830	161	8	special	special	ADJ
fcis-15830	161	9	interest	interest	NOUN
fcis-15830	161	10	group	group	NOUN
fcis-15830	161	11	article	article	NOUN
fcis-15830	161	12	:	:	PUNCT
fcis-15830	161	13	opinion	opinion	NOUN
fcis-15830	161	14	on	on	ADP
fcis-15830	161	15	theapplication	theapplication	NOUN
fcis-15830	161	16	of	of	ADP
fcis-15830	161	17	artificial	artificial	ADJ
fcis-15830	161	18	intelligence	intelligence	NOUN
fcis-15830	161	19	and	and	CCONJ
fcis-15830	161	20	machine	machine	NOUN
fcis-15830	161	21	learningto	learningto	VERB
fcis-15830	161	22	digital	digital	PROPN
fcis-15830	161	23	toxicologic	toxicologic	ADJ
fcis-15830	161	24	pathology	pathology	NOUN
fcis-15830	162	1	[	[	X
fcis-15830	162	2	j	j	X
fcis-15830	162	3	]	]	X
fcis-15830	162	4	.	.	PUNCT
fcis-15830	163	1	toxicol	toxicol	PROPN
fcis-15830	163	2	pathol	pathol	PROPN
fcis-15830	163	3	,	,	PUNCT
fcis-15830	163	4	2020.48(2	2020.48(2	NUM
fcis-15830	163	5	):	):	PUNCT
fcis-15830	163	6	277	277	NUM
fcis-15830	163	7	-	-	SYM
fcis-15830	163	8	294	294	NUM
fcis-15830	163	9	.	.	PUNCT
fcis-15830	164	1	[	[	X
fcis-15830	164	2	14	14	NUM
fcis-15830	164	3	]	]	X
fcis-15830	164	4	lin	lin	PROPN
fcis-15830	164	5	,	,	PUNCT
fcis-15830	164	6	q.	q.	PROPN
fcis-15830	164	7	,	,	PUNCT
fcis-15830	164	8	che	che	PROPN
fcis-15830	164	9	,	,	PUNCT
fcis-15830	164	10	c.	c.	PROPN
fcis-15830	164	11	,	,	PUNCT
fcis-15830	164	12	hu	hu	PROPN
fcis-15830	164	13	,	,	PUNCT
fcis-15830	164	14	h.	h.	PROPN
fcis-15830	164	15	,	,	PUNCT
fcis-15830	164	16	zhao	zhao	PROPN
fcis-15830	164	17	,	,	PUNCT
fcis-15830	164	18	x.	x.	PROPN
fcis-15830	164	19	,	,	PUNCT
fcis-15830	164	20	&	&	CCONJ
fcis-15830	164	21	li	li	PROPN
fcis-15830	164	22	,	,	PUNCT
fcis-15830	164	23	s.	s.	PROPN
fcis-15830	164	24	(	(	PUNCT
fcis-15830	164	25	2023	2023	NUM
fcis-15830	164	26	)	)	PUNCT
fcis-15830	164	27	.	.	PUNCT
fcis-15830	165	1	a	a	DET
fcis-15830	165	2	comprehensive	comprehensive	ADJ
fcis-15830	165	3	study	study	NOUN
fcis-15830	165	4	on	on	ADP
fcis-15830	165	5	early	early	PROPN
fcis-15830	165	6	alzheimer	alzheimer	PROPN
fcis-15830	165	7	’s	’s	PART
fcis-15830	165	8	disease	disease	NOUN
fcis-15830	165	9	detection	detection	NOUN
fcis-15830	165	10	through	through	ADP
fcis-15830	165	11	advanced	advanced	ADJ
fcis-15830	165	12	machine	machine	NOUN
fcis-15830	165	13	learning	learn	VERB
fcis-15830	165	14	techniques	technique	NOUN
fcis-15830	165	15	on	on	ADP
fcis-15830	165	16	mri	mri	NOUN
fcis-15830	165	17	data	datum	NOUN
fcis-15830	165	18	.	.	PUNCT
fcis-15830	166	1	academic	academic	ADJ
fcis-15830	166	2	journal	journal	NOUN
fcis-15830	166	3	of	of	ADP
fcis-15830	166	4	science	science	NOUN
fcis-15830	166	5	and	and	CCONJ
fcis-15830	166	6	technology	technology	NOUN
fcis-15830	166	7	,	,	PUNCT
fcis-15830	166	8	8(1	8(1	NOUN
fcis-15830	166	9	)	)	PUNCT
fcis-15830	166	10	,	,	PUNCT
fcis-15830	166	11	281–285	281–285	NUM
fcis-15830	166	12	.	.	PUNCT
fcis-15830	167	1	doi	doi	NOUN
fcis-15830	167	2	:	:	PUNCT
fcis-15830	167	3	10.1111	10.1111	NUM
fcis-15830	167	4	/	/	SYM
fcis-15830	167	5	jgs.18617	jgs.18617	NOUN
fcis-15830	167	6	.	.	PUNCT
fcis-15830	168	1	[	[	X
fcis-15830	168	2	15	15	NUM
fcis-15830	168	3	]	]	X
fcis-15830	168	4	chang	chang	PROPN
fcis-15830	168	5	che	che	PROPN
fcis-15830	168	6	,	,	PUNCT
fcis-15830	168	7	bo	bo	PROPN
fcis-15830	168	8	liu	liu	PROPN
fcis-15830	168	9	,	,	PUNCT
fcis-15830	168	10	shulin	shulin	PROPN
fcis-15830	168	11	li	li	PROPN
fcis-15830	168	12	,	,	PUNCT
fcis-15830	168	13	jiaxin	jiaxin	PROPN
fcis-15830	168	14	huang	huang	PROPN
fcis-15830	168	15	,	,	PUNCT
fcis-15830	168	16	and	and	CCONJ
fcis-15830	168	17	hao	hao	PROPN
fcis-15830	168	18	hu	hu	PROPN
fcis-15830	168	19	.	.	PUNCT
fcis-15830	169	1	deep	deep	ADJ
fcis-15830	169	2	learning	learning	NOUN
fcis-15830	169	3	for	for	ADP
fcis-15830	169	4	precise	precise	ADJ
fcis-15830	169	5	robot	robot	NOUN
fcis-15830	169	6	position	position	NOUN
fcis-15830	169	7	prediction	prediction	NOUN
fcis-15830	169	8	in	in	ADP
fcis-15830	169	9	logistics	logistic	NOUN
fcis-15830	169	10	.	.	PUNCT
fcis-15830	170	1	journal	journal	PROPN
fcis-15830	170	2	of	of	ADP
fcis-15830	170	3	theory	theory	NOUN
fcis-15830	170	4	and	and	CCONJ
fcis-15830	170	5	practice	practice	NOUN
fcis-15830	170	6	of	of	ADP
fcis-15830	170	7	engineering	engineering	NOUN
fcis-15830	170	8	science	science	NOUN
fcis-15830	170	9	,	,	PUNCT
fcis-15830	170	10	3(10):36–41	3(10):36–41	NUM
fcis-15830	170	11	,	,	PUNCT
fcis-15830	170	12	2023.doi	2023.doi	NUM
fcis-15830	170	13	:	:	PUNCT
fcis-15830	170	14	10.1021	10.1021	NUM
fcis-15830	170	15	/	/	SYM
fcis-15830	170	16	acs.jctc.3c00031	acs.jctc.3c00031	NOUN
fcis-15830	170	17	.	.	PUNCT
fcis-15830	171	1	[	[	X
fcis-15830	171	2	16	16	NUM
fcis-15830	171	3	]	]	X
fcis-15830	171	4	chang	chang	PROPN
fcis-15830	171	5	che	che	PROPN
fcis-15830	171	6	,	,	PUNCT
fcis-15830	171	7	qunwei	qunwei	PROPN
fcis-15830	171	8	lin	lin	PROPN
fcis-15830	171	9	,	,	PUNCT
fcis-15830	171	10	xinyu	xinyu	PROPN
fcis-15830	171	11	zhao	zhao	PROPN
fcis-15830	171	12	,	,	PUNCT
fcis-15830	171	13	jiaxin	jiaxin	PROPN
fcis-15830	171	14	huang	huang	PROPN
fcis-15830	171	15	,	,	PUNCT
fcis-15830	171	16	liqiang	liqiang	PROPN
fcis-15830	171	17	yu	yu	PROPN
fcis-15830	171	18	authors	authors	PROPN
fcis-15830	171	19	info	info	NOUN
fcis-15830	171	20	&	&	CCONJ
fcis-15830	171	21	claims	claim	NOUN
fcis-15830	171	22	,	,	PUNCT
fcis-15830	171	23	enhancing	enhance	VERB
fcis-15830	171	24	multimodal	multimodal	ADJ
fcis-15830	171	25	understanding	understanding	NOUN
fcis-15830	171	26	with	with	ADP
fcis-15830	171	27	clip	clip	NOUN
fcis-15830	171	28	-	-	PUNCT
fcis-15830	171	29	basedlmage	basedlmage	NOUN
fcis-15830	171	30	-	-	PUNCT
fcis-15830	171	31	to	to	ADP
fcis-15830	171	32	-	-	PUNCT
fcis-15830	171	33	text	text	NOUN
fcis-15830	171	34	transformation	transformation	NOUN
fcis-15830	171	35	,	,	PUNCT
fcis-15830	171	36	2023	2023	NUM
fcis-15830	171	37	pages	page	NOUN
fcis-15830	171	38	414	414	NUM
fcis-15830	171	39	-	-	PUNCT
fcis-15830	171	40	418.https://	418.https://	NOUN
fcis-15830	171	41	doi.org/	doi.org/	ADJ
fcis-15830	171	42	10	10	NUM
fcis-15830	171	43	.	.	PUNCT
fcis-15830	171	44	1145/	1145/	NUM
fcis-15830	171	45	3627377	3627377	NUM
fcis-15830	171	46	.	.	PUNCT
fcis-15830	171	47	3627442	3627442	NUM
fcis-15830	171	48	.	.	PUNCT
fcis-15830	172	1	[	[	X
fcis-15830	172	2	17	17	NUM
fcis-15830	172	3	]	]	X
fcis-15830	172	4	xu	xu	PROPN
fcis-15830	172	5	,	,	PUNCT
fcis-15830	172	6	j.	j.	PROPN
fcis-15830	172	7	,	,	PUNCT
fcis-15830	172	8	pan	pan	PROPN
fcis-15830	172	9	,	,	PUNCT
fcis-15830	172	10	l.	l.	PROPN
fcis-15830	172	11	,	,	PUNCT
fcis-15830	172	12	zeng	zeng	PROPN
fcis-15830	172	13	,	,	PUNCT
fcis-15830	172	14	q.	q.	PROPN
fcis-15830	172	15	,	,	PUNCT
fcis-15830	172	16	sun	sun	PROPN
fcis-15830	172	17	,	,	PUNCT
fcis-15830	172	18	w.	w.	PROPN
fcis-15830	172	19	,	,	PUNCT
fcis-15830	172	20	&	&	CCONJ
fcis-15830	172	21	wan	wan	PROPN
fcis-15830	172	22	,	,	PUNCT
fcis-15830	172	23	w.	w.	PROPN
fcis-15830	172	24	based	base	VERB
fcis-15830	172	25	on	on	ADP
fcis-15830	172	26	tpugraphs	tpugraph	NOUN
fcis-15830	172	27	predicting	predict	VERB
fcis-15830	172	28	model	model	NOUN
fcis-15830	172	29	runtimes	runtime	NOUN
fcis-15830	172	30	using	use	VERB
fcis-15830	172	31	graph	graph	NOUN
fcis-15830	172	32	neural	neural	ADJ
fcis-15830	172	33	networks	network	NOUN
fcis-15830	172	34	.	.	PUNCT
fcis-15830	173	1	[	[	X
fcis-15830	173	2	18	18	NUM
fcis-15830	173	3	]	]	SYM
fcis-15830	173	4	che	che	X
fcis-15830	173	5	,	,	PUNCT
fcis-15830	173	6	c.	c.	PROPN
fcis-15830	173	7	,	,	PUNCT
fcis-15830	173	8	hu	hu	PROPN
fcis-15830	173	9	,	,	PUNCT
fcis-15830	173	10	h.	h.	PROPN
fcis-15830	173	11	,	,	PUNCT
fcis-15830	173	12	zhao	zhao	PROPN
fcis-15830	173	13	,	,	PUNCT
fcis-15830	173	14	x.	x.	PROPN
fcis-15830	173	15	,	,	PUNCT
fcis-15830	173	16	li	li	PROPN
fcis-15830	173	17	,	,	PUNCT
fcis-15830	173	18	s.	s.	PROPN
fcis-15830	173	19	,	,	PUNCT
fcis-15830	173	20	&	&	CCONJ
fcis-15830	173	21	lin	lin	PROPN
fcis-15830	173	22	,	,	PUNCT
fcis-15830	173	23	q.	q.	PROPN
fcis-15830	173	24	(	(	PUNCT
fcis-15830	173	25	2023	2023	NUM
fcis-15830	173	26	)	)	PUNCT
fcis-15830	173	27	.	.	PUNCT
fcis-15830	174	1	advancing	advance	VERB
fcis-15830	174	2	cancer	cancer	NOUN
fcis-15830	174	3	document	document	NOUN
fcis-15830	174	4	classification	classification	NOUN
fcis-15830	174	5	with	with	ADP
fcis-15830	174	6	r	r	NOUN
fcis-15830	174	7	andom	andom	NOUN
fcis-15830	174	8	forest	forest	NOUN
fcis-15830	174	9	.	.	PUNCT
fcis-15830	175	1	academic	academic	ADJ
fcis-15830	175	2	journal	journal	NOUN
fcis-15830	175	3	of	of	ADP
fcis-15830	175	4	science	science	NOUN
fcis-15830	175	5	and	and	CCONJ
fcis-15830	175	6	technology	technology	NOUN
fcis-15830	175	7	,	,	PUNCT
fcis-15830	175	8	8(1	8(1	NOUN
fcis-15830	175	9	)	)	PUNCT
fcis-15830	175	10	,	,	PUNCT
fcis-15830	175	11	278–280	278–280	NUM
fcis-15830	175	12	.	.	PUNCT
fcis-15830	176	1	https://	https://	PROPN
fcis-15830	176	2	doi.org/10.54097/ajst.v8i1.14333	doi.org/10.54097/ajst.v8i1.14333	PROPN
fcis-15830	176	3	.	.	PUNCT