id	sid	tid	token	lemma	pos
fcis-15814	1	1	frontiers	frontier	NOUN
fcis-15814	1	2	in	in	ADP
fcis-15814	1	3	computing	computing	NOUN
fcis-15814	1	4	and	and	CCONJ
fcis-15814	1	5	intelligent	intelligent	ADJ
fcis-15814	1	6	systems	system	NOUN
fcis-15814	1	7	issn	issn	VERB
fcis-15814	1	8	:	:	PUNCT
fcis-15814	1	9	2832	2832	NUM
fcis-15814	1	10	-	-	SYM
fcis-15814	1	11	6024	6024	NUM
fcis-15814	1	12	|	|	NOUN
fcis-15814	1	13	vol	vol	NOUN
fcis-15814	1	14	.	.	PROPN
fcis-15814	2	1	6	6	NUM
fcis-15814	2	2	,	,	PUNCT
fcis-15814	2	3	no	no	INTJ
fcis-15814	2	4	.	.	NOUN
fcis-15814	2	5	3	3	NUM
fcis-15814	2	6	,	,	PUNCT
fcis-15814	2	7	2023	2023	NUM
fcis-15814	2	8	81	81	NUM
fcis-15814	2	9	effective	effective	ADJ
fcis-15814	2	10	combination	combination	NOUN
fcis-15814	2	11	of	of	ADP
fcis-15814	2	12	3d‐densenet	3d‐densenet	NOUN
fcis-15814	2	13	's	's	PART
fcis-15814	2	14	artificial	artificial	ADJ
fcis-15814	2	15	intelligence	intelligence	NOUN
fcis-15814	2	16	technology	technology	NOUN
fcis-15814	2	17	and	and	CCONJ
fcis-15814	2	18	gallbladder	gallbladder	NOUN
fcis-15814	2	19	cancer	cancer	NOUN
fcis-15814	2	20	diagnosis	diagnosis	NOUN
fcis-15814	2	21	model	model	NOUN
fcis-15814	2	22	xinyu	xinyu	PROPN
fcis-15814	2	23	zhao	zhao	PROPN
fcis-15814	2	24	1	1	NUM
fcis-15814	2	25	,	,	PUNCT
fcis-15814	2	26	*	*	PUNCT
fcis-15814	2	27	,	,	PUNCT
fcis-15814	2	28	bo	bo	PROPN
fcis-15814	2	29	liu	liu	PROPN
fcis-15814	2	30	2	2	NUM
fcis-15814	2	31	,	,	PUNCT
fcis-15814	2	32	qunwei	qunwei	PROPN
fcis-15814	2	33	lin3	lin3	PROPN
fcis-15814	2	34	,	,	PUNCT
fcis-15814	2	35	jiaxin	jiaxin	PROPN
fcis-15814	2	36	huang	huang	PROPN
fcis-15814	2	37	4	4	PROPN
fcis-15814	2	38	,	,	PUNCT
fcis-15814	2	39	liqiang	liqiang	PROPN
fcis-15814	2	40	yu	yu	PROPN
fcis-15814	2	41	5	5	NUM
fcis-15814	2	42	1	1	NUM
fcis-15814	2	43	information	information	NOUN
fcis-15814	2	44	studies	study	NOUN
fcis-15814	2	45	,	,	PUNCT
fcis-15814	2	46	trine	trine	PROPN
fcis-15814	2	47	university	university	PROPN
fcis-15814	2	48	,	,	PUNCT
fcis-15814	2	49	phoenix	phoenix	PROPN
fcis-15814	2	50	,	,	PUNCT
fcis-15814	2	51	usa	usa	PROPN
fcis-15814	2	52	2	2	NUM
fcis-15814	2	53	software	software	NOUN
fcis-15814	2	54	engineering	engineering	NOUN
fcis-15814	2	55	,	,	PUNCT
fcis-15814	2	56	zhejiang	zhejiang	PROPN
fcis-15814	2	57	university	university	PROPN
fcis-15814	2	58	,	,	PUNCT
fcis-15814	2	59	hangzhou	hangzhou	PROPN
fcis-15814	2	60	china	china	PROPN
fcis-15814	2	61	3	3	NUM
fcis-15814	2	62	information	information	NOUN
fcis-15814	2	63	studies	study	NOUN
fcis-15814	2	64	,	,	PUNCT
fcis-15814	2	65	trine	trine	PROPN
fcis-15814	2	66	university	university	PROPN
fcis-15814	2	67	,	,	PUNCT
fcis-15814	2	68	phoenix	phoenix	PROPN
fcis-15814	2	69	,	,	PUNCT
fcis-15814	2	70	usa	usa	PROPN
fcis-15814	2	71	4	4	NUM
fcis-15814	2	72	information	information	NOUN
fcis-15814	2	73	studies	study	NOUN
fcis-15814	2	74	,	,	PUNCT
fcis-15814	2	75	trine	trine	PROPN
fcis-15814	2	76	university	university	PROPN
fcis-15814	2	77	,	,	PUNCT
fcis-15814	2	78	phoenix	phoenix	PROPN
fcis-15814	2	79	,	,	PUNCT
fcis-15814	2	80	usa	usa	PROPN
fcis-15814	2	81	5	5	NUM
fcis-15814	2	82	computational	computational	ADJ
fcis-15814	2	83	social	social	ADJ
fcis-15814	2	84	sciences	science	NOUN
fcis-15814	2	85	,	,	PUNCT
fcis-15814	2	86	the	the	DET
fcis-15814	2	87	university	university	NOUN
fcis-15814	2	88	of	of	ADP
fcis-15814	2	89	chicago	chicago	PROPN
fcis-15814	2	90	,	,	PUNCT
fcis-15814	2	91	irvine	irvine	PROPN
fcis-15814	2	92	,	,	PUNCT
fcis-15814	2	93	usa	usa	PROPN
fcis-15814	2	94	*	*	PUNCT
fcis-15814	2	95	corresponding	correspond	VERB
fcis-15814	2	96	author	author	NOUN
fcis-15814	2	97	:	:	PUNCT
fcis-15814	2	98	xinyu	xinyu	PROPN
fcis-15814	2	99	zhao	zhao	PROPN
fcis-15814	2	100	(	(	PUNCT
fcis-15814	2	101	email	email	NOUN
fcis-15814	2	102	:	:	PUNCT
fcis-15814	2	103	lution798@gmail.com	lution798@gmail.com	NUM
fcis-15814	2	104	)	)	PUNCT
fcis-15814	2	105	abstract	abstract	NOUN
fcis-15814	2	106	:	:	PUNCT
fcis-15814	2	107	gallbladder	gallbladder	NOUN
fcis-15814	2	108	cancer	cancer	NOUN
fcis-15814	2	109	is	be	AUX
fcis-15814	2	110	the	the	DET
fcis-15814	2	111	most	most	ADV
fcis-15814	2	112	common	common	ADJ
fcis-15814	2	113	malignant	malignant	ADJ
fcis-15814	2	114	tumor	tumor	NOUN
fcis-15814	2	115	in	in	ADP
fcis-15814	2	116	the	the	DET
fcis-15814	2	117	biliary	biliary	ADJ
fcis-15814	2	118	system	system	NOUN
fcis-15814	2	119	.	.	PUNCT
fcis-15814	3	1	it	it	PRON
fcis-15814	3	2	has	have	VERB
fcis-15814	3	3	the	the	DET
fcis-15814	3	4	characteristics	characteristic	NOUN
fcis-15814	3	5	of	of	ADP
fcis-15814	3	6	low	low	ADJ
fcis-15814	3	7	early	early	ADJ
fcis-15814	3	8	diagnosis	diagnosis	NOUN
fcis-15814	3	9	rate	rate	NOUN
fcis-15814	3	10	,	,	PUNCT
fcis-15814	3	11	strong	strong	ADJ
fcis-15814	3	12	invasiveness	invasiveness	ADJ
fcis-15814	3	13	and	and	CCONJ
fcis-15814	3	14	high	high	ADJ
fcis-15814	3	15	lymphatic	lymphatic	ADJ
fcis-15814	3	16	metastasis	metastasis	NOUN
fcis-15814	3	17	rate	rate	NOUN
fcis-15814	3	18	.	.	PUNCT
fcis-15814	4	1	in	in	ADP
fcis-15814	4	2	recent	recent	ADJ
fcis-15814	4	3	years	year	NOUN
fcis-15814	4	4	,	,	PUNCT
fcis-15814	4	5	with	with	ADP
fcis-15814	4	6	the	the	DET
fcis-15814	4	7	rapid	rapid	ADJ
fcis-15814	4	8	development	development	NOUN
fcis-15814	4	9	of	of	ADP
fcis-15814	4	10	artificial	artificial	ADJ
fcis-15814	4	11	intelligence	intelligence	NOUN
fcis-15814	4	12	technology	technology	NOUN
fcis-15814	4	13	,	,	PUNCT
fcis-15814	4	14	relevant	relevant	ADJ
fcis-15814	4	15	technologies	technology	NOUN
fcis-15814	4	16	based	base	VERB
fcis-15814	4	17	on	on	ADP
fcis-15814	4	18	machine	machine	NOUN
fcis-15814	4	19	learning	learning	NOUN
fcis-15814	4	20	and	and	CCONJ
fcis-15814	4	21	deep	deep	ADJ
fcis-15814	4	22	learning	learning	NOUN
fcis-15814	4	23	algorithms	algorithm	NOUN
fcis-15814	4	24	have	have	AUX
fcis-15814	4	25	been	be	AUX
fcis-15814	4	26	applied	apply	VERB
fcis-15814	4	27	to	to	ADP
fcis-15814	4	28	the	the	DET
fcis-15814	4	29	diagnosis	diagnosis	NOUN
fcis-15814	4	30	and	and	CCONJ
fcis-15814	4	31	treatment	treatment	NOUN
fcis-15814	4	32	of	of	ADP
fcis-15814	4	33	malignant	malignant	ADJ
fcis-15814	4	34	tumors	tumor	NOUN
fcis-15814	4	35	,	,	PUNCT
fcis-15814	4	36	prognosis	prognosis	NOUN
fcis-15814	4	37	assessment	assessment	NOUN
fcis-15814	4	38	and	and	CCONJ
fcis-15814	4	39	medical	medical	ADJ
fcis-15814	4	40	image	image	NOUN
fcis-15814	4	41	processing	processing	NOUN
fcis-15814	4	42	,	,	PUNCT
fcis-15814	4	43	bringing	bring	VERB
fcis-15814	4	44	revolutionary	revolutionary	ADJ
fcis-15814	4	45	changes	change	NOUN
fcis-15814	4	46	to	to	ADP
fcis-15814	4	47	the	the	DET
fcis-15814	4	48	diagnosis	diagnosis	NOUN
fcis-15814	4	49	and	and	CCONJ
fcis-15814	4	50	treatment	treatment	NOUN
fcis-15814	4	51	mode	mode	NOUN
fcis-15814	4	52	of	of	ADP
fcis-15814	4	53	malignant	malignant	ADJ
fcis-15814	4	54	tumors	tumor	NOUN
fcis-15814	4	55	.	.	PUNCT
fcis-15814	5	1	at	at	ADP
fcis-15814	5	2	present	present	ADJ
fcis-15814	5	3	,	,	PUNCT
fcis-15814	5	4	artificial	artificial	ADJ
fcis-15814	5	5	intelligence	intelligence	NOUN
fcis-15814	5	6	technology	technology	NOUN
fcis-15814	5	7	has	have	AUX
fcis-15814	5	8	been	be	AUX
fcis-15814	5	9	preliminarily	preliminarily	ADV
fcis-15814	5	10	studied	study	VERB
fcis-15814	5	11	in	in	ADP
fcis-15814	5	12	the	the	DET
fcis-15814	5	13	early	early	ADJ
fcis-15814	5	14	screening	screening	NOUN
fcis-15814	5	15	and	and	CCONJ
fcis-15814	5	16	diagnosis	diagnosis	NOUN
fcis-15814	5	17	of	of	ADP
fcis-15814	5	18	gallbladder	gallbladder	NOUN
fcis-15814	5	19	cancer	cancer	NOUN
fcis-15814	5	20	,	,	PUNCT
fcis-15814	5	21	preoperative	preoperative	ADJ
fcis-15814	5	22	lymph	lymph	NOUN
fcis-15814	5	23	node	node	ADJ
fcis-15814	5	24	status	status	NOUN
fcis-15814	5	25	assessment	assessment	NOUN
fcis-15814	5	26	,	,	PUNCT
fcis-15814	5	27	intraoperative	intraoperative	ADJ
fcis-15814	5	28	lymph	lymph	NOUN
fcis-15814	5	29	node	node	PROPN
fcis-15814	5	30	dissection	dissection	NOUN
fcis-15814	5	31	,	,	PUNCT
fcis-15814	5	32	surgical	surgical	ADJ
fcis-15814	5	33	treatment	treatment	NOUN
fcis-15814	5	34	and	and	CCONJ
fcis-15814	5	35	prognosis	prognosis	NOUN
fcis-15814	5	36	assessment	assessment	NOUN
fcis-15814	5	37	,	,	PUNCT
fcis-15814	5	38	showing	show	VERB
fcis-15814	5	39	certain	certain	ADJ
fcis-15814	5	40	clinical	clinical	ADJ
fcis-15814	5	41	value	value	NOUN
fcis-15814	5	42	.	.	PUNCT
fcis-15814	6	1	in	in	ADP
fcis-15814	6	2	this	this	DET
fcis-15814	6	3	paper	paper	NOUN
fcis-15814	6	4	,	,	PUNCT
fcis-15814	6	5	in	in	ADP
fcis-15814	6	6	order	order	NOUN
fcis-15814	6	7	to	to	PART
fcis-15814	6	8	assist	assist	VERB
fcis-15814	6	9	clinical	clinical	ADJ
fcis-15814	6	10	diagnosis	diagnosis	NOUN
fcis-15814	6	11	of	of	ADP
fcis-15814	6	12	gallbladder	gallbladder	NOUN
fcis-15814	6	13	cancer	cancer	NOUN
fcis-15814	6	14	,	,	PUNCT
fcis-15814	6	15	an	an	DET
fcis-15814	6	16	improved	improved	ADJ
fcis-15814	6	17	3d	3d	NOUN
fcis-15814	6	18	-	-	PUNCT
fcis-15814	6	19	densenet	densenet	NOUN
fcis-15814	6	20	was	be	AUX
fcis-15814	6	21	used	use	VERB
fcis-15814	6	22	to	to	PART
fcis-15814	6	23	establish	establish	VERB
fcis-15814	6	24	an	an	DET
fcis-15814	6	25	assisted	assist	VERB
fcis-15814	6	26	diagnosis	diagnosis	NOUN
fcis-15814	6	27	model	model	NOUN
fcis-15814	6	28	of	of	ADP
fcis-15814	6	29	gallbladder	gallbladder	NOUN
fcis-15814	6	30	cancer	cancer	NOUN
fcis-15814	6	31	based	base	VERB
fcis-15814	6	32	on	on	ADP
fcis-15814	6	33	enhanced	enhanced	ADJ
fcis-15814	6	34	ct	ct	NUM
fcis-15814	6	35	images	image	NOUN
fcis-15814	6	36	of	of	ADP
fcis-15814	6	37	patients	patient	NOUN
fcis-15814	6	38	.	.	PUNCT
fcis-15814	7	1	firstly	firstly	ADV
fcis-15814	7	2	,	,	PUNCT
fcis-15814	7	3	multiple	multiple	ADJ
fcis-15814	7	4	arterial	arterial	NOUN
fcis-15814	7	5	ct	ct	NUM
fcis-15814	7	6	images	image	NOUN
fcis-15814	7	7	of	of	ADP
fcis-15814	7	8	patients	patient	NOUN
fcis-15814	7	9	were	be	AUX
fcis-15814	7	10	converted	convert	VERB
fcis-15814	7	11	into	into	ADP
fcis-15814	7	12	3d	3d	PROPN
fcis-15814	7	13	images	image	NOUN
fcis-15814	7	14	,	,	PUNCT
fcis-15814	7	15	and	and	CCONJ
fcis-15814	7	16	the	the	DET
fcis-15814	7	17	regions	region	NOUN
fcis-15814	7	18	of	of	ADP
fcis-15814	7	19	interest	interest	NOUN
fcis-15814	7	20	were	be	AUX
fcis-15814	7	21	cut	cut	VERB
fcis-15814	7	22	out	out	ADP
fcis-15814	7	23	using	use	VERB
fcis-15814	7	24	the	the	DET
fcis-15814	7	25	gallbladder	gallbladder	NOUN
fcis-15814	7	26	area	area	NOUN
fcis-15814	7	27	marked	mark	VERB
fcis-15814	7	28	by	by	ADP
fcis-15814	7	29	doctors	doctor	NOUN
fcis-15814	7	30	.	.	PUNCT
fcis-15814	8	1	then	then	ADV
fcis-15814	8	2	,	,	PUNCT
fcis-15814	8	3	the	the	DET
fcis-15814	8	4	traditional	traditional	ADJ
fcis-15814	8	5	dense	dense	ADJ
fcis-15814	8	6	net	net	ADJ
fcis-15814	8	7	network	network	NOUN
fcis-15814	8	8	is	be	AUX
fcis-15814	8	9	optimized	optimize	VERB
fcis-15814	8	10	,	,	PUNCT
fcis-15814	8	11	the	the	DET
fcis-15814	8	12	dropout	dropout	NOUN
fcis-15814	8	13	mechanism	mechanism	NOUN
fcis-15814	8	14	and	and	CCONJ
fcis-15814	8	15	soft	soft	ADJ
fcis-15814	8	16	max	max	PROPN
fcis-15814	8	17	loss	loss	NOUN
fcis-15814	8	18	function	function	NOUN
fcis-15814	8	19	are	be	AUX
fcis-15814	8	20	improved	improve	VERB
fcis-15814	8	21	,	,	PUNCT
fcis-15814	8	22	and	and	CCONJ
fcis-15814	8	23	the	the	DET
fcis-15814	8	24	crossentropy	crossentropy	NOUN
fcis-15814	8	25	function	function	NOUN
fcis-15814	8	26	is	be	AUX
fcis-15814	8	27	replaced	replace	VERB
fcis-15814	8	28	by	by	ADP
fcis-15814	8	29	focal	focal	ADJ
fcis-15814	8	30	loss	loss	NOUN
fcis-15814	8	31	in	in	ADP
fcis-15814	8	32	the	the	DET
fcis-15814	8	33	output	output	NOUN
fcis-15814	8	34	part	part	NOUN
fcis-15814	8	35	for	for	ADP
fcis-15814	8	36	imbalance	imbalance	NOUN
fcis-15814	8	37	correction	correction	NOUN
fcis-15814	8	38	,	,	PUNCT
fcis-15814	8	39	so	so	SCONJ
fcis-15814	8	40	as	as	SCONJ
fcis-15814	8	41	to	to	PART
fcis-15814	8	42	establish	establish	VERB
fcis-15814	8	43	the	the	DET
fcis-15814	8	44	auxiliary	auxiliary	ADJ
fcis-15814	8	45	diagnosis	diagnosis	NOUN
fcis-15814	8	46	model	model	NOUN
fcis-15814	8	47	of	of	ADP
fcis-15814	8	48	gallbladder	gallbladder	NOUN
fcis-15814	8	49	cancer	cancer	NOUN
fcis-15814	8	50	.	.	PUNCT
fcis-15814	9	1	keywords	keyword	NOUN
fcis-15814	9	2	:	:	PUNCT
fcis-15814	9	3	gallbladder	gallbladder	NOUN
fcis-15814	9	4	cancer	cancer	NOUN
fcis-15814	9	5	;	;	PUNCT
fcis-15814	9	6	artificial	artificial	ADJ
fcis-15814	9	7	intelligence	intelligence	NOUN
fcis-15814	9	8	;	;	PUNCT
fcis-15814	9	9	machine	machine	NOUN
fcis-15814	9	10	learning	learning	NOUN
fcis-15814	9	11	;	;	PUNCT
fcis-15814	9	12	deep	deep	ADJ
fcis-15814	9	13	learning	learning	NOUN
fcis-15814	9	14	;	;	PUNCT
fcis-15814	9	15	diagnosis	diagnosis	NOUN
fcis-15814	9	16	.	.	PUNCT
fcis-15814	10	1	1	1	X
fcis-15814	10	2	.	.	X
fcis-15814	10	3	introduction	introduction	NOUN
fcis-15814	10	4	gallbladder	gallbladder	NOUN
fcis-15814	10	5	carcinoma	carcinoma	NOUN
fcis-15814	10	6	(	(	PUNCT
fcis-15814	10	7	gbc	gbc	PROPN
fcis-15814	10	8	)	)	PUNCT
fcis-15814	10	9	is	be	AUX
fcis-15814	10	10	the	the	DET
fcis-15814	10	11	most	most	ADV
fcis-15814	10	12	common	common	ADJ
fcis-15814	10	13	malignant	malignant	ADJ
fcis-15814	10	14	tumor	tumor	NOUN
fcis-15814	10	15	in	in	ADP
fcis-15814	10	16	the	the	DET
fcis-15814	10	17	biliary	biliary	ADJ
fcis-15814	10	18	system	system	NOUN
fcis-15814	10	19	,	,	PUNCT
fcis-15814	10	20	ranking	rank	VERB
fcis-15814	10	21	the	the	DET
fcis-15814	10	22	6th	6th	NOUN
fcis-15814	10	23	in	in	ADP
fcis-15814	10	24	the	the	DET
fcis-15814	10	25	incidence	incidence	NOUN
fcis-15814	10	26	of	of	ADP
fcis-15814	10	27	gastrointestinal	gastrointestinal	ADJ
fcis-15814	10	28	malignancy	malignancy	NOUN
fcis-15814	10	29	,	,	PUNCT
fcis-15814	10	30	with	with	ADP
fcis-15814	10	31	the	the	DET
fcis-15814	10	32	characteristics	characteristic	NOUN
fcis-15814	10	33	of	of	ADP
fcis-15814	10	34	high	high	ADJ
fcis-15814	10	35	malignant	malignant	ADJ
fcis-15814	10	36	degree	degree	NOUN
fcis-15814	10	37	,	,	PUNCT
fcis-15814	10	38	strong	strong	ADJ
fcis-15814	10	39	invasion	invasion	NOUN
fcis-15814	10	40	and	and	CCONJ
fcis-15814	10	41	easy	easy	ADJ
fcis-15814	10	42	to	to	PART
fcis-15814	10	43	occur	occur	VERB
fcis-15814	10	44	lymph	lymph	NOUN
fcis-15814	10	45	node	node	NOUN
fcis-15814	10	46	metastasis	metastasis	NOUN
fcis-15814	10	47	[	[	X
fcis-15814	10	48	7	7	NUM
fcis-15814	10	49	]	]	PUNCT
fcis-15814	10	50	.	.	PUNCT
fcis-15814	11	1	in	in	ADP
fcis-15814	11	2	recent	recent	ADJ
fcis-15814	11	3	years	year	NOUN
fcis-15814	11	4	,	,	PUNCT
fcis-15814	11	5	the	the	DET
fcis-15814	11	6	incidence	incidence	NOUN
fcis-15814	11	7	of	of	ADP
fcis-15814	11	8	gbc	gbc	PROPN
fcis-15814	11	9	has	have	AUX
fcis-15814	11	10	shown	show	VERB
fcis-15814	11	11	a	a	DET
fcis-15814	11	12	gradual	gradual	ADJ
fcis-15814	11	13	upward	upward	ADJ
fcis-15814	11	14	trend	trend	NOUN
fcis-15814	11	15	worldwide	worldwide	ADV
fcis-15814	11	16	,	,	PUNCT
fcis-15814	11	17	and	and	CCONJ
fcis-15814	11	18	the	the	DET
fcis-15814	11	19	incidence	incidence	NOUN
fcis-15814	11	20	of	of	ADP
fcis-15814	11	21	the	the	DET
fcis-15814	11	22	chinese	chinese	ADJ
fcis-15814	11	23	population	population	NOUN
fcis-15814	11	24	has	have	AUX
fcis-15814	11	25	increased	increase	VERB
fcis-15814	11	26	by	by	ADP
fcis-15814	11	27	20	20	NUM
fcis-15814	11	28	%	%	NOUN
fcis-15814	11	29	to	to	PART
fcis-15814	11	30	100	100	NUM
fcis-15814	11	31	%	%	NOUN
fcis-15814	11	32	in	in	ADP
fcis-15814	11	33	the	the	DET
fcis-15814	11	34	past	past	ADJ
fcis-15814	11	35	30	30	NUM
fcis-15814	11	36	years	year	NOUN
fcis-15814	11	37	,	,	PUNCT
fcis-15814	11	38	with	with	ADP
fcis-15814	11	39	about	about	ADP
fcis-15814	11	40	52,800	52,800	NUM
fcis-15814	11	41	new	new	ADJ
fcis-15814	11	42	cases	case	NOUN
fcis-15814	11	43	per	per	ADP
fcis-15814	11	44	year	year	NOUN
fcis-15814	11	45	.	.	PUNCT
fcis-15814	12	1	in	in	ADP
fcis-15814	12	2	1956	1956	NUM
fcis-15814	12	3	john	john	PROPN
fcis-15814	12	4	mccarthy	mccarthy	PROPN
fcis-15814	12	5	at	at	ADP
fcis-15814	12	6	dartmouth	dartmouth	PROPN
fcis-15814	12	7	conference	conference	NOUN
fcis-15814	12	8	for	for	ADP
fcis-15814	12	9	the	the	DET
fcis-15814	12	10	first	first	ADJ
fcis-15814	12	11	time	time	NOUN
fcis-15814	12	12	put	put	VERB
fcis-15814	12	13	forward	forward	ADV
fcis-15814	12	14	the	the	DET
fcis-15814	12	15	"	"	PUNCT
fcis-15814	12	16	artificial	artificial	ADJ
fcis-15814	12	17	intelligence	intelligence	NOUN
fcis-15814	12	18	"	"	PUNCT
fcis-15814	12	19	(	(	PUNCT
fcis-15814	12	20	ai	ai	NOUN
fcis-15814	12	21	)	)	PUNCT
fcis-15814	12	22	concept	concept	NOUN
fcis-15814	12	23	.	.	PUNCT
fcis-15814	13	1	[	[	X
fcis-15814	13	2	1	1	NUM
fcis-15814	13	3	-	-	SYM
fcis-15814	13	4	3	3	NUM
fcis-15814	13	5	]	]	PUNCT
fcis-15814	13	6	ai	ai	VERB
fcis-15814	13	7	uses	use	VERB
fcis-15814	13	8	machines	machine	NOUN
fcis-15814	13	9	to	to	PART
fcis-15814	13	10	simulate	simulate	VERB
fcis-15814	13	11	the	the	DET
fcis-15814	13	12	way	way	NOUN
fcis-15814	13	13	the	the	DET
fcis-15814	13	14	human	human	ADJ
fcis-15814	13	15	brain	brain	NOUN
fcis-15814	13	16	thinks	think	VERB
fcis-15814	13	17	and	and	CCONJ
fcis-15814	13	18	intelligently	intelligently	ADV
fcis-15814	13	19	process	process	VERB
fcis-15814	13	20	primitive	primitive	ADJ
fcis-15814	13	21	problems	problem	NOUN
fcis-15814	13	22	.	.	PUNCT
fcis-15814	14	1	with	with	ADP
fcis-15814	14	2	the	the	DET
fcis-15814	14	3	rapid	rapid	ADJ
fcis-15814	14	4	development	development	NOUN
fcis-15814	14	5	of	of	ADP
fcis-15814	14	6	ai	ai	PROPN
fcis-15814	14	7	technology	technology	NOUN
fcis-15814	14	8	,	,	PUNCT
fcis-15814	14	9	the	the	DET
fcis-15814	14	10	subfields	subfield	NOUN
fcis-15814	14	11	dominated	dominate	VERB
fcis-15814	14	12	by	by	ADP
fcis-15814	14	13	machine	machine	NOUN
fcis-15814	14	14	learning	learning	NOUN
fcis-15814	14	15	and	and	CCONJ
fcis-15814	14	16	deep	deep	ADJ
fcis-15814	14	17	learning	learning	NOUN
fcis-15814	14	18	algorithms	algorithm	NOUN
fcis-15814	14	19	have	have	AUX
fcis-15814	14	20	been	be	AUX
fcis-15814	14	21	applied	apply	VERB
fcis-15814	14	22	to	to	ADP
fcis-15814	14	23	the	the	DET
fcis-15814	14	24	auxiliary	auxiliary	ADJ
fcis-15814	14	25	diagnosis	diagnosis	NOUN
fcis-15814	14	26	and	and	CCONJ
fcis-15814	14	27	treatment	treatment	NOUN
fcis-15814	14	28	of	of	ADP
fcis-15814	14	29	malignant	malignant	ADJ
fcis-15814	14	30	tumors	tumor	NOUN
fcis-15814	14	31	,	,	PUNCT
fcis-15814	14	32	prognosis	prognosis	NOUN
fcis-15814	14	33	assessment	assessment	NOUN
fcis-15814	14	34	and	and	CCONJ
fcis-15814	14	35	medical	medical	ADJ
fcis-15814	14	36	image	image	NOUN
fcis-15814	14	37	processing	processing	NOUN
fcis-15814	14	38	.	.	PUNCT
fcis-15814	15	1	in	in	ADP
fcis-15814	15	2	medical	medical	ADJ
fcis-15814	15	3	image	image	NOUN
fcis-15814	15	4	processing	processing	NOUN
fcis-15814	15	5	,	,	PUNCT
fcis-15814	15	6	image	image	NOUN
fcis-15814	15	7	omics	omic	NOUN
fcis-15814	15	8	builds	build	VERB
fcis-15814	15	9	disease	disease	NOUN
fcis-15814	15	10	prediction	prediction	NOUN
fcis-15814	15	11	models	model	NOUN
fcis-15814	15	12	by	by	ADP
fcis-15814	15	13	combining	combine	VERB
fcis-15814	15	14	ai	ai	INTJ
fcis-15814	15	15	core	core	NOUN
fcis-15814	15	16	technologies	technology	NOUN
fcis-15814	15	17	such	such	ADJ
fcis-15814	15	18	as	as	ADP
fcis-15814	15	19	different	different	ADJ
fcis-15814	15	20	machine	machine	NOUN
fcis-15814	15	21	learning	learn	VERB
fcis-15814	15	22	algorithms	algorithm	NOUN
fcis-15814	15	23	,	,	PUNCT
fcis-15814	15	24	providing	provide	VERB
fcis-15814	15	25	more	more	ADJ
fcis-15814	15	26	information	information	NOUN
fcis-15814	15	27	for	for	ADP
fcis-15814	15	28	accurate	accurate	ADJ
fcis-15814	15	29	diagnosis	diagnosis	NOUN
fcis-15814	15	30	and	and	CCONJ
fcis-15814	15	31	individualized	individualized	ADJ
fcis-15814	15	32	treatment	treatment	NOUN
fcis-15814	15	33	of	of	ADP
fcis-15814	15	34	diseases	disease	NOUN
fcis-15814	15	35	.	.	PUNCT
fcis-15814	16	1	2	2	X
fcis-15814	16	2	.	.	X
fcis-15814	16	3	related	relate	VERB
fcis-15814	16	4	work	work	NOUN
fcis-15814	16	5	gallbladder	gallbladder	NOUN
fcis-15814	16	6	cancer	cancer	NOUN
fcis-15814	16	7	can	can	AUX
fcis-15814	16	8	directly	directly	ADV
fcis-15814	16	9	invade	invade	VERB
fcis-15814	16	10	the	the	DET
fcis-15814	16	11	surrounding	surround	VERB
fcis-15814	16	12	tissue	tissue	NOUN
fcis-15814	16	13	,	,	PUNCT
fcis-15814	16	14	but	but	CCONJ
fcis-15814	16	15	also	also	ADV
fcis-15814	16	16	can	can	AUX
fcis-15814	16	17	be	be	AUX
fcis-15814	16	18	transferred	transfer	VERB
fcis-15814	16	19	through	through	ADP
fcis-15814	16	20	lymphatic	lymphatic	ADJ
fcis-15814	16	21	,	,	PUNCT
fcis-15814	16	22	blood	blood	NOUN
fcis-15814	16	23	circulation	circulation	NOUN
fcis-15814	16	24	or	or	CCONJ
fcis-15814	16	25	abdominal	abdominal	ADJ
fcis-15814	16	26	transplantation	transplantation	NOUN
fcis-15814	16	27	and	and	CCONJ
fcis-15814	16	28	other	other	ADJ
fcis-15814	16	29	ways	way	NOUN
fcis-15814	16	30	,	,	PUNCT
fcis-15814	16	31	due	due	ADP
fcis-15814	16	32	to	to	ADP
fcis-15814	16	33	the	the	DET
fcis-15814	16	34	lack	lack	NOUN
fcis-15814	16	35	of	of	ADP
fcis-15814	16	36	early	early	ADJ
fcis-15814	16	37	clinical	clinical	ADJ
fcis-15814	16	38	manifestations	manifestation	NOUN
fcis-15814	16	39	,	,	PUNCT
fcis-15814	16	40	most	most	ADJ
fcis-15814	16	41	cases	case	NOUN
fcis-15814	16	42	have	have	AUX
fcis-15814	16	43	been	be	AUX
fcis-15814	16	44	diagnosed	diagnose	VERB
fcis-15814	16	45	in	in	ADP
fcis-15814	16	46	the	the	DET
fcis-15814	16	47	late	late	ADJ
fcis-15814	16	48	stage	stage	NOUN
fcis-15814	16	49	,	,	PUNCT
fcis-15814	16	50	serious[8	serious[8	PROPN
fcis-15814	16	51	]	]	PUNCT
fcis-15814	16	52	.	.	PUNCT
fcis-15814	17	1	affects	affect	VERB
fcis-15814	17	2	patient	patient	ADJ
fcis-15814	17	3	prognosis	prognosis	NOUN
fcis-15814	17	4	.	.	PUNCT
fcis-15814	18	1	imaging	imaging	NOUN
fcis-15814	18	2	examination	examination	NOUN
fcis-15814	18	3	is	be	AUX
fcis-15814	18	4	widely	widely	ADV
fcis-15814	18	5	used	use	VERB
fcis-15814	18	6	in	in	ADP
fcis-15814	18	7	the	the	DET
fcis-15814	18	8	detection	detection	NOUN
fcis-15814	18	9	of	of	ADP
fcis-15814	18	10	a	a	DET
fcis-15814	18	11	variety	variety	NOUN
fcis-15814	18	12	of	of	ADP
fcis-15814	18	13	diseases	disease	NOUN
fcis-15814	18	14	,	,	PUNCT
fcis-15814	18	15	among	among	ADP
fcis-15814	18	16	which	which	PRON
fcis-15814	18	17	enhanced	enhance	VERB
fcis-15814	18	18	ct	ct	PRON
fcis-15814	18	19	can	can	AUX
fcis-15814	18	20	well	well	ADV
fcis-15814	18	21	judge	judge	VERB
fcis-15814	18	22	the	the	DET
fcis-15814	18	23	intensity	intensity	NOUN
fcis-15814	18	24	and	and	CCONJ
fcis-15814	18	25	enhancement	enhancement	NOUN
fcis-15814	18	26	mode	mode	NOUN
fcis-15814	18	27	of	of	ADP
fcis-15814	18	28	the	the	DET
fcis-15814	18	29	lesion	lesion	NOUN
fcis-15814	18	30	,	,	PUNCT
fcis-15814	18	31	and	and	CCONJ
fcis-15814	18	32	can	can	AUX
fcis-15814	18	33	also	also	ADV
fcis-15814	18	34	judge	judge	VERB
fcis-15814	18	35	the	the	DET
fcis-15814	18	36	type	type	NOUN
fcis-15814	18	37	of	of	ADP
fcis-15814	18	38	the	the	DET
fcis-15814	18	39	lesion	lesion	NOUN
fcis-15814	18	40	,	,	PUNCT
fcis-15814	18	41	which	which	PRON
fcis-15814	18	42	is	be	AUX
fcis-15814	18	43	of	of	ADP
fcis-15814	18	44	great	great	ADJ
fcis-15814	18	45	help	help	NOUN
fcis-15814	18	46	to	to	ADP
fcis-15814	18	47	clinical	clinical	ADJ
fcis-15814	18	48	diagnosis	diagnosis	NOUN
fcis-15814	18	49	and	and	CCONJ
fcis-15814	18	50	treatment[9	treatment[9	NOUN
fcis-15814	18	51	]	]	X
fcis-15814	18	52	.	.	PUNCT
fcis-15814	19	1	imaging	imaging	NOUN
fcis-15814	19	2	examination	examination	NOUN
fcis-15814	19	3	often	often	ADV
fcis-15814	19	4	requires	require	VERB
fcis-15814	19	5	doctors	doctor	NOUN
fcis-15814	19	6	with	with	ADP
fcis-15814	19	7	professional	professional	ADJ
fcis-15814	19	8	knowledge	knowledge	NOUN
fcis-15814	19	9	to	to	PART
fcis-15814	19	10	identify	identify	VERB
fcis-15814	19	11	and	and	CCONJ
fcis-15814	19	12	judge	judge	VERB
fcis-15814	19	13	,	,	PUNCT
fcis-15814	19	14	which	which	PRON
fcis-15814	19	15	consumes	consume	VERB
fcis-15814	19	16	a	a	DET
fcis-15814	19	17	lot	lot	NOUN
fcis-15814	19	18	of	of	ADP
fcis-15814	19	19	time	time	NOUN
fcis-15814	19	20	and	and	CCONJ
fcis-15814	19	21	energy	energy	NOUN
fcis-15814	19	22	,	,	PUNCT
fcis-15814	19	23	and	and	CCONJ
fcis-15814	19	24	there	there	PRON
fcis-15814	19	25	is	be	VERB
fcis-15814	19	26	subjective	subjective	ADJ
fcis-15814	19	27	bias	bias	NOUN
fcis-15814	19	28	among	among	ADP
fcis-15814	19	29	different	different	ADJ
fcis-15814	19	30	doctors	doctor	NOUN
fcis-15814	19	31	.	.	PUNCT
fcis-15814	20	1	with	with	ADP
fcis-15814	20	2	the	the	DET
fcis-15814	20	3	continuous	continuous	ADJ
fcis-15814	20	4	development	development	NOUN
fcis-15814	20	5	of	of	ADP
fcis-15814	20	6	artificial	artificial	ADJ
fcis-15814	20	7	intelligence	intelligence	NOUN
fcis-15814	20	8	,	,	PUNCT
fcis-15814	20	9	deep	deep	ADJ
fcis-15814	20	10	learning	learning	NOUN
fcis-15814	20	11	technology	technology	NOUN
fcis-15814	20	12	based	base	VERB
fcis-15814	20	13	on	on	ADP
fcis-15814	20	14	neural	neural	ADJ
fcis-15814	20	15	network	network	NOUN
fcis-15814	20	16	is	be	AUX
fcis-15814	20	17	widely	widely	ADV
fcis-15814	20	18	used	use	VERB
fcis-15814	20	19	in	in	ADP
fcis-15814	20	20	the	the	DET
fcis-15814	20	21	field	field	NOUN
fcis-15814	20	22	of	of	ADP
fcis-15814	20	23	medical	medical	ADJ
fcis-15814	20	24	imaging[10	imaging[10	PUNCT
fcis-15814	20	25	-	-	PUNCT
fcis-15814	20	26	11	11	NUM
fcis-15814	20	27	]	]	PUNCT
fcis-15814	20	28	.	.	PUNCT
fcis-15814	21	1	for	for	ADP
fcis-15814	21	2	example	example	NOUN
fcis-15814	21	3	,	,	PUNCT
fcis-15814	21	4	wu	wu	PROPN
fcis-15814	21	5	shi	shi	PROPN
fcis-15814	21	6	yang	yang	PROPN
fcis-15814	21	7	et	et	PROPN
fcis-15814	21	8	al	al	PROPN
fcis-15814	21	9	first	first	PROPN
fcis-15814	21	10	segmtioned	segmtione	VERB
fcis-15814	21	11	lung	lung	NOUN
fcis-15814	21	12	cancer	cancer	NOUN
fcis-15814	21	13	ct	ct	NOUN
fcis-15814	21	14	images	image	NOUN
fcis-15814	21	15	in	in	ADP
fcis-15814	21	16	the	the	DET
fcis-15814	21	17	lung	lung	NOUN
fcis-15814	21	18	image	image	NOUN
fcis-15814	21	19	database	database	NOUN
fcis-15814	21	20	consortium	consortium	NOUN
fcis-15814	21	21	to	to	PART
fcis-15814	21	22	obtain	obtain	VERB
fcis-15814	21	23	lung	lung	NOUN
fcis-15814	21	24	nodule	nodule	NOUN
fcis-15814	21	25	images	image	NOUN
fcis-15814	21	26	,	,	PUNCT
fcis-15814	21	27	then	then	ADV
fcis-15814	21	28	used	use	VERB
fcis-15814	21	29	convolutional	convolutional	ADJ
fcis-15814	21	30	neu	neu	NOUN
fcis-15814	21	31	-	-	PUNCT
fcis-15814	21	32	ral	ral	ADJ
fcis-15814	21	33	network	network	NOUN
fcis-15814	21	34	(	(	PUNCT
fcis-15814	21	35	cnn	cnn	PROPN
fcis-15814	21	36	)	)	PUNCT
fcis-15814	21	37	for	for	ADP
fcis-15814	21	38	feature	feature	NOUN
fcis-15814	21	39	extraction	extraction	NOUN
fcis-15814	21	40	,	,	PUNCT
fcis-15814	21	41	and	and	CCONJ
fcis-15814	21	42	finally	finally	ADV
fcis-15814	21	43	used	use	VERB
fcis-15814	21	44	logistic	logistic	ADJ
fcis-15814	21	45	classifier	classifier	NOUN
fcis-15814	21	46	for	for	ADP
fcis-15814	21	47	model	model	NOUN
fcis-15814	21	48	construction	construction	NOUN
fcis-15814	21	49	and	and	CCONJ
fcis-15814	21	50	testing	testing	NOUN
fcis-15814	21	51	.	.	PUNCT
fcis-15814	22	1	the	the	DET
fcis-15814	22	2	classification	classification	NOUN
fcis-15814	22	3	accuracy	accuracy	NOUN
fcis-15814	22	4	of	of	ADP
fcis-15814	22	5	this	this	DET
fcis-15814	22	6	method	method	NOUN
fcis-15814	22	7	is	be	AUX
fcis-15814	22	8	84.4	84.4	NUM
fcis-15814	22	9	%	%	NOUN
fcis-15814	22	10	.	.	PUNCT
fcis-15814	23	1	wu	wu	PROPN
fcis-15814	23	2	yun	yun	PROPN
fcis-15814	23	3	feng	feng	PROPN
fcis-15814	23	4	proposed	propose	VERB
fcis-15814	23	5	a	a	DET
fcis-15814	23	6	lung	lung	NOUN
fcis-15814	23	7	ct	ct	NUM
fcis-15814	23	8	image	image	NOUN
fcis-15814	23	9	classification	classification	NOUN
fcis-15814	23	10	and	and	CCONJ
fcis-15814	23	11	system	system	NOUN
fcis-15814	23	12	construction	construction	NOUN
fcis-15814	23	13	method	method	NOUN
fcis-15814	23	14	based	base	VERB
fcis-15814	23	15	on	on	ADP
fcis-15814	23	16	improved	improved	ADJ
fcis-15814	23	17	inception	inception	NOUN
fcis-15814	23	18	-	-	PUNCT
fcis-15814	23	19	res	res	NOUN
fcis-15814	23	20	net	net	NOUN
fcis-15814	23	21	,	,	PUNCT
fcis-15814	23	22	which	which	PRON
fcis-15814	23	23	has	have	VERB
fcis-15814	23	24	a	a	DET
fcis-15814	23	25	diagnostic	diagnostic	ADJ
fcis-15814	23	26	accuracy	accuracy	NOUN
fcis-15814	23	27	of	of	ADP
fcis-15814	23	28	over	over	ADP
fcis-15814	23	29	95	95	NUM
fcis-15814	23	30	%	%	NOUN
fcis-15814	23	31	for	for	ADP
fcis-15814	23	32	covid-19	covid-19	PROPN
fcis-15814	23	33	.	.	PUNCT
fcis-15814	24	1	ye	ye	PROPN
fcis-15814	24	2	jia	jia	PROPN
fcis-15814	24	3	chao	chao	PROPN
fcis-15814	24	4	et	et	PROPN
fcis-15814	24	5	al[12	al[12	PROPN
fcis-15814	24	6	]	]	X
fcis-15814	24	7	.	.	PUNCT
fcis-15814	24	8	,	,	PUNCT
fcis-15814	24	9	based	base	VERB
fcis-15814	24	10	on	on	ADP
fcis-15814	24	11	the	the	DET
fcis-15814	24	12	dense	dense	ADJ
fcis-15814	24	13	net	net	ADJ
fcis-15814	24	14	network	network	NOUN
fcis-15814	24	15	model	model	NOUN
fcis-15814	24	16	in	in	ADP
fcis-15814	24	17	cnn	cnn	PROPN
fcis-15814	24	18	,	,	PUNCT
fcis-15814	24	19	achieved	achieve	VERB
fcis-15814	24	20	a	a	DET
fcis-15814	24	21	good	good	ADJ
fcis-15814	24	22	recognition	recognition	NOUN
fcis-15814	24	23	effect	effect	NOUN
fcis-15814	24	24	on	on	ADP
fcis-15814	24	25	ct	ct	NUM
fcis-15814	24	26	images	image	NOUN
fcis-15814	24	27	of	of	ADP
fcis-15814	24	28	covid-19	covid-19	PROPN
fcis-15814	24	29	,	,	PUNCT
fcis-15814	24	30	with	with	ADP
fcis-15814	24	31	an	an	DET
fcis-15814	24	32	accuracy	accuracy	NOUN
fcis-15814	24	33	rate	rate	NOUN
fcis-15814	24	34	of	of	ADP
fcis-15814	24	35	91	91	NUM
fcis-15814	24	36	%	%	NOUN
fcis-15814	24	37	,	,	PUNCT
fcis-15814	24	38	a	a	DET
fcis-15814	24	39	recall	recall	NOUN
fcis-15814	24	40	rate	rate	NOUN
fcis-15814	24	41	of	of	ADP
fcis-15814	24	42	79	79	NUM
fcis-15814	24	43	%	%	NOUN
fcis-15814	24	44	,	,	PUNCT
fcis-15814	24	45	an	an	DET
fcis-15814	24	46	f1	f1	ADJ
fcis-15814	24	47	value	value	NOUN
fcis-15814	24	48	of	of	ADP
fcis-15814	24	49	85	85	NUM
fcis-15814	24	50	%	%	NOUN
fcis-15814	24	51	,	,	PUNCT
fcis-15814	24	52	an	an	DET
fcis-15814	24	53	accuracy	accuracy	NOUN
fcis-15814	24	54	rate	rate	NOUN
fcis-15814	24	55	of	of	ADP
fcis-15814	24	56	85	85	NUM
fcis-15814	24	57	%	%	NOUN
fcis-15814	24	58	and	and	CCONJ
fcis-15814	24	59	an	an	DET
fcis-15814	24	60	auc	auc	NOUN
fcis-15814	24	61	value	value	NOUN
fcis-15814	24	62	of	of	ADP
fcis-15814	24	63	94	94	NUM
fcis-15814	24	64	%	%	NOUN
fcis-15814	24	65	.	.	PUNCT
fcis-15814	25	1	in	in	ADP
fcis-15814	25	2	this	this	DET
fcis-15814	25	3	paper	paper	NOUN
fcis-15814	25	4	,	,	PUNCT
fcis-15814	25	5	we	we	PRON
fcis-15814	25	6	optimized	optimize	VERB
fcis-15814	25	7	and	and	CCONJ
fcis-15814	25	8	improved	improve	VERB
fcis-15814	25	9	the	the	DET
fcis-15814	25	10	dense	dense	ADJ
fcis-15814	25	11	net	net	ADJ
fcis-15814	25	12	model	model	NOUN
fcis-15814	25	13	,	,	PUNCT
fcis-15814	25	14	increased	increase	VERB
fcis-15814	25	15	the	the	DET
fcis-15814	25	16	traditional	traditional	ADJ
fcis-15814	25	17	2d	2d	NUM
fcis-15814	25	18	image	image	NOUN
fcis-15814	25	19	input	input	NOUN
fcis-15814	25	20	to	to	ADP
fcis-15814	25	21	3d	3d	NUM
fcis-15814	25	22	,	,	PUNCT
fcis-15814	25	23	improved	improve	VERB
fcis-15814	25	24	the	the	DET
fcis-15814	25	25	dropout	dropout	NOUN
fcis-15814	25	26	mechanism	mechanism	NOUN
fcis-15814	25	27	and	and	CCONJ
fcis-15814	25	28	soft	soft	ADJ
fcis-15814	25	29	max	max	PROPN
fcis-15814	25	30	loss	loss	NOUN
fcis-15814	25	31	function	function	NOUN
fcis-15814	25	32	,	,	PUNCT
fcis-15814	25	33	82	82	NUM
fcis-15814	25	34	and	and	CCONJ
fcis-15814	25	35	applied	apply	VERB
fcis-15814	25	36	the	the	DET
fcis-15814	25	37	improved	improved	ADJ
fcis-15814	25	38	3d	3d	NUM
fcis-15814	25	39	-	-	PUNCT
fcis-15814	25	40	densenet	densenet	NOUN
fcis-15814	25	41	model	model	NOUN
fcis-15814	25	42	to	to	ADP
fcis-15814	25	43	the	the	DET
fcis-15814	25	44	auxiliary	auxiliary	ADJ
fcis-15814	25	45	diagnosis	diagnosis	NOUN
fcis-15814	25	46	of	of	ADP
fcis-15814	25	47	gallbladder	gallbladder	NOUN
fcis-15814	25	48	cancer	cancer	NOUN
fcis-15814	26	1	[	[	X
fcis-15814	26	2	13	13	NUM
fcis-15814	26	3	-	-	SYM
fcis-15814	26	4	14	14	NUM
fcis-15814	26	5	]	]	PUNCT
fcis-15814	26	6	.	.	PUNCT
fcis-15814	27	1	3	3	X
fcis-15814	27	2	.	.	X
fcis-15814	27	3	model	model	NOUN
fcis-15814	27	4	and	and	CCONJ
fcis-15814	27	5	methodology	methodology	NOUN
fcis-15814	27	6	densenet	densenet	NOUN
fcis-15814	27	7	is	be	AUX
fcis-15814	27	8	the	the	DET
fcis-15814	27	9	optimal	optimal	ADJ
fcis-15814	27	10	depth	depth	NOUN
fcis-15814	27	11	model	model	NOUN
fcis-15814	27	12	proposed	propose	VERB
fcis-15814	27	13	by	by	ADP
fcis-15814	27	14	huang	huang	PROPN
fcis-15814	27	15	equal	equal	ADJ
fcis-15814	27	16	in	in	ADP
fcis-15814	27	17	2017	2017	NUM
fcis-15814	27	18	,	,	PUNCT
fcis-15814	27	19	which	which	PRON
fcis-15814	27	20	uses	use	VERB
fcis-15814	27	21	the	the	DET
fcis-15814	27	22	advantages	advantage	NOUN
fcis-15814	27	23	of	of	ADP
fcis-15814	27	24	resnet	resnet	NOUN
fcis-15814	27	25	and	and	CCONJ
fcis-15814	27	26	googlenet	googlenet	NOUN
fcis-15814	27	27	for	for	ADP
fcis-15814	27	28	reference	reference	NOUN
fcis-15814	27	29	and	and	CCONJ
fcis-15814	27	30	fully	fully	ADV
fcis-15814	27	31	applies	apply	VERB
fcis-15814	27	32	cross	cross	NOUN
fcis-15814	27	33	-	-	NOUN
fcis-15814	27	34	connection	connection	NOUN
fcis-15814	27	35	to	to	ADP
fcis-15814	27	36	each	each	DET
fcis-15814	27	37	feature	feature	NOUN
fcis-15814	27	38	layer	layer	NOUN
fcis-15814	27	39	in	in	ADP
fcis-15814	27	40	the	the	DET
fcis-15814	27	41	module	module	NOUN
fcis-15814	27	42	,	,	PUNCT
fcis-15814	27	43	that	that	ADV
fcis-15814	27	44	is	is	ADV
fcis-15814	27	45	,	,	PUNCT
fcis-15814	27	46	the	the	DET
fcis-15814	27	47	input	input	NOUN
fcis-15814	27	48	of	of	ADP
fcis-15814	27	49	any	any	DET
fcis-15814	27	50	convolutional	convolutional	ADJ
fcis-15814	27	51	layer	layer	NOUN
fcis-15814	27	52	directly	directly	ADV
fcis-15814	27	53	includes	include	VERB
fcis-15814	27	54	the	the	DET
fcis-15814	27	55	output	output	NOUN
fcis-15814	27	56	of	of	ADP
fcis-15814	27	57	all	all	DET
fcis-15814	27	58	previous	previous	ADJ
fcis-15814	27	59	convolutional	convolutional	ADJ
fcis-15814	27	60	layers	layer	NOUN
fcis-15814	27	61	,	,	PUNCT
fcis-15814	27	62	and	and	CCONJ
fcis-15814	27	63	the	the	DET
fcis-15814	27	64	features	feature	NOUN
fcis-15814	27	65	are	be	AUX
fcis-15814	27	66	fully	fully	ADV
fcis-15814	27	67	reused	reuse	VERB
fcis-15814	27	68	.	.	PUNCT
fcis-15814	28	1	3.1	3.1	NUM
fcis-15814	28	2	.	.	PUNCT
fcis-15814	28	3	densenet	densenet	NOUN
fcis-15814	28	4	model	model	NOUN
fcis-15814	28	5	the	the	DET
fcis-15814	28	6	feature	feature	NOUN
fcis-15814	28	7	fusion	fusion	NOUN
fcis-15814	28	8	of	of	ADP
fcis-15814	28	9	high	high	ADJ
fcis-15814	28	10	and	and	CCONJ
fcis-15814	28	11	low	low	ADJ
fcis-15814	28	12	levels	level	NOUN
fcis-15814	28	13	makes	make	VERB
fcis-15814	28	14	the	the	DET
fcis-15814	28	15	network	network	NOUN
fcis-15814	28	16	have	have	VERB
fcis-15814	28	17	strong	strong	ADJ
fcis-15814	28	18	anti	anti	ADJ
fcis-15814	28	19	-	-	ADJ
fcis-15814	28	20	overfitting	overfitting	ADJ
fcis-15814	28	21	performance	performance	NOUN
fcis-15814	28	22	,	,	PUNCT
fcis-15814	28	23	and	and	CCONJ
fcis-15814	28	24	the	the	DET
fcis-15814	28	25	number	number	NOUN
fcis-15814	28	26	of	of	ADP
fcis-15814	28	27	parameters	parameter	NOUN
fcis-15814	28	28	is	be	AUX
fcis-15814	28	29	smaller	small	ADJ
fcis-15814	28	30	.	.	PUNCT
fcis-15814	29	1	the	the	DET
fcis-15814	29	2	cross	cross	ADJ
fcis-15814	29	3	-	-	ADJ
fcis-15814	29	4	connection	connection	ADJ
fcis-15814	29	5	application	application	NOUN
fcis-15814	29	6	also	also	ADV
fcis-15814	29	7	alleviates	alleviate	VERB
fcis-15814	29	8	the	the	DET
fcis-15814	29	9	problem	problem	NOUN
fcis-15814	29	10	of	of	ADP
fcis-15814	29	11	gradient	gradient	ADJ
fcis-15814	29	12	disappearance	disappearance	NOUN
fcis-15814	29	13	caused	cause	VERB
fcis-15814	29	14	by	by	ADP
fcis-15814	29	15	the	the	DET
fcis-15814	29	16	deepening	deepening	NOUN
fcis-15814	29	17	of	of	ADP
fcis-15814	29	18	layers	layer	NOUN
fcis-15814	29	19	.	.	PUNCT
fcis-15814	30	1	densenet	densenet	NOUN
fcis-15814	30	2	is	be	AUX
fcis-15814	30	3	dense	dense	ADJ
fcis-15814	30	4	by	by	ADP
fcis-15814	30	5	multiple	multiple	ADJ
fcis-15814	30	6	densenet	densenet	NOUN
fcis-15814	30	7	is	be	AUX
fcis-15814	30	8	a	a	DET
fcis-15814	30	9	convolutional	convolutional	ADJ
fcis-15814	30	10	neural	neural	ADJ
fcis-15814	30	11	network	network	NOUN
fcis-15814	30	12	with	with	ADP
fcis-15814	30	13	dense	dense	ADJ
fcis-15814	30	14	connections	connection	NOUN
fcis-15814	30	15	.	.	PUNCT
fcis-15814	31	1	the	the	DET
fcis-15814	31	2	network	network	NOUN
fcis-15814	31	3	consists	consist	VERB
fcis-15814	31	4	of	of	ADP
fcis-15814	31	5	two	two	NUM
fcis-15814	31	6	parts	part	NOUN
fcis-15814	31	7	:	:	PUNCT
fcis-15814	31	8	denseblock	denseblock	NOUN
fcis-15814	31	9	and	and	CCONJ
fcis-15814	31	10	transition	transition	NOUN
fcis-15814	31	11	.	.	PUNCT
fcis-15814	32	1	dense	dense	ADJ
fcis-15814	32	2	block	block	NOUN
fcis-15814	32	3	is	be	AUX
fcis-15814	32	4	a	a	DET
fcis-15814	32	5	densely	densely	ADV
fcis-15814	32	6	connected	connect	VERB
fcis-15814	32	7	highway	highway	NOUN
fcis-15814	32	8	module	module	NOUN
fcis-15814	32	9	,	,	PUNCT
fcis-15814	32	10	a	a	DET
fcis-15814	32	11	collection	collection	NOUN
fcis-15814	32	12	of	of	ADP
fcis-15814	32	13	bottleneck	bottleneck	NOUN
fcis-15814	32	14	layer	layer	NOUN
fcis-15814	32	15	outputs	output	NOUN
fcis-15814	32	16	.	.	PUNCT
fcis-15814	33	1	block	block	NOUN
fcis-15814	33	2	and	and	CCONJ
fcis-15814	33	3	transition	transition	NOUN
fcis-15814	33	4	layer	layer	NOUN
fcis-15814	33	5	,	,	PUNCT
fcis-15814	33	6	each	each	DET
fcis-15814	33	7	dense	dense	ADJ
fcis-15814	33	8	block	block	NOUN
fcis-15814	33	9	contains	contain	VERB
fcis-15814	33	10	multiple	multiple	ADJ
fcis-15814	33	11	substructures	substructure	NOUN
fcis-15814	33	12	,	,	PUNCT
fcis-15814	33	13	a	a	DET
fcis-15814	33	14	structure	structure	NOUN
fcis-15814	33	15	of	of	ADP
fcis-15814	33	16	4	4	NUM
fcis-15814	33	17	dense	dense	ADJ
fcis-15814	33	18	blocks	block	NOUN
fcis-15814	33	19	.	.	PUNCT
fcis-15814	34	1	figure	figure	NOUN
fcis-15814	34	2	1	1	NUM
fcis-15814	34	3	.	.	NOUN
fcis-15814	34	4	4	4	NUM
fcis-15814	34	5	-	-	PUNCT
fcis-15814	34	6	layer	layer	NOUN
fcis-15814	34	7	dense	dense	ADJ
fcis-15814	34	8	block	block	NOUN
fcis-15814	34	9	structure	structure	NOUN
fcis-15814	34	10	the	the	DET
fcis-15814	34	11	traditional	traditional	ADJ
fcis-15814	34	12	densenet	densenet	NOUN
fcis-15814	34	13	structure	structure	NOUN
fcis-15814	34	14	contains	contain	VERB
fcis-15814	34	15	the	the	DET
fcis-15814	34	16	dropout	dropout	NOUN
fcis-15814	34	17	layer	layer	NOUN
fcis-15814	34	18	,	,	PUNCT
fcis-15814	34	19	which	which	PRON
fcis-15814	34	20	inhibits	inhibit	VERB
fcis-15814	34	21	model	model	NOUN
fcis-15814	34	22	overfitting	overfitting	NOUN
fcis-15814	34	23	by	by	ADP
fcis-15814	34	24	randomly	randomly	ADV
fcis-15814	34	25	dropping	drop	VERB
fcis-15814	34	26	multiple	multiple	ADJ
fcis-15814	34	27	neurons	neuron	NOUN
fcis-15814	34	28	.	.	PUNCT
fcis-15814	35	1	cnn	cnn	PROPN
fcis-15814	35	2	extracts	extract	VERB
fcis-15814	35	3	image	image	NOUN
fcis-15814	35	4	features	feature	VERB
fcis-15814	35	5	through	through	ADP
fcis-15814	35	6	convolution	convolution	NOUN
fcis-15814	35	7	check	check	NOUN
fcis-15814	35	8	.	.	PUNCT
fcis-15814	36	1	the	the	DET
fcis-15814	36	2	specific	specific	ADJ
fcis-15814	36	3	implementation	implementation	NOUN
fcis-15814	36	4	of	of	ADP
fcis-15814	36	5	the	the	DET
fcis-15814	36	6	convolution	convolution	NOUN
fcis-15814	36	7	operation	operation	NOUN
fcis-15814	36	8	generates	generate	VERB
fcis-15814	36	9	information	information	NOUN
fcis-15814	36	10	redundancy	redundancy	NOUN
fcis-15814	36	11	between	between	ADP
fcis-15814	36	12	feature	feature	NOUN
fcis-15814	36	13	images	image	NOUN
fcis-15814	36	14	,	,	PUNCT
fcis-15814	36	15	so	so	SCONJ
fcis-15814	36	16	the	the	DET
fcis-15814	36	17	effect	effect	NOUN
fcis-15814	36	18	of	of	ADP
fcis-15814	36	19	dropout	dropout	NOUN
fcis-15814	36	20	on	on	ADP
fcis-15814	36	21	cnn	cnn	PROPN
fcis-15814	36	22	is	be	AUX
fcis-15814	36	23	limited	limited	ADJ
fcis-15814	36	24	.	.	PUNCT
fcis-15814	37	1	the	the	DET
fcis-15814	37	2	dropblock	dropblock	NOUN
fcis-15814	37	3	module	module	NOUN
fcis-15814	37	4	is	be	AUX
fcis-15814	37	5	a	a	DET
fcis-15814	37	6	regularization	regularization	NOUN
fcis-15814	37	7	module	module	NOUN
fcis-15814	37	8	for	for	ADP
fcis-15814	37	9	cnn	cnn	PROPN
fcis-15814	37	10	proposed	propose	VERB
fcis-15814	37	11	by	by	ADP
fcis-15814	37	12	the	the	DET
fcis-15814	37	13	google	google	PROPN
fcis-15814	37	14	team	team	NOUN
fcis-15814	37	15	in	in	ADP
fcis-15814	37	16	2018	2018	NUM
fcis-15814	37	17	.	.	PUNCT
fcis-15814	38	1	effect	effect	VERB
fcis-15814	38	2	comparison	comparison	NOUN
fcis-15814	38	3	of	of	ADP
fcis-15814	38	4	dropout	dropout	NOUN
fcis-15814	38	5	and	and	CCONJ
fcis-15814	38	6	dropblock	dropblock	NOUN
fcis-15814	38	7	.	.	PUNCT
fcis-15814	39	1	in	in	ADP
fcis-15814	39	2	order	order	NOUN
fcis-15814	39	3	to	to	PART
fcis-15814	39	4	verify	verify	VERB
fcis-15814	39	5	the	the	DET
fcis-15814	39	6	performance	performance	NOUN
fcis-15814	39	7	of	of	ADP
fcis-15814	39	8	this	this	DET
fcis-15814	39	9	model	model	NOUN
fcis-15814	39	10	,	,	PUNCT
fcis-15814	39	11	3dresnet	3dresnet	NUM
fcis-15814	39	12	and	and	CCONJ
fcis-15814	39	13	3d	3d	NUM
fcis-15814	39	14	-	-	PUNCT
fcis-15814	39	15	densenet	densenet	NOUN
fcis-15814	39	16	models	model	NOUN
fcis-15814	39	17	with	with	ADP
fcis-15814	39	18	various	various	ADJ
fcis-15814	39	19	structures	structure	NOUN
fcis-15814	39	20	and	and	CCONJ
fcis-15814	39	21	different	different	ADJ
fcis-15814	39	22	parameters	parameter	NOUN
fcis-15814	39	23	were	be	AUX
fcis-15814	39	24	analyzed	analyze	VERB
fcis-15814	39	25	and	and	CCONJ
fcis-15814	39	26	compared	compare	VERB
fcis-15814	39	27	,	,	PUNCT
fcis-15814	39	28	and	and	CCONJ
fcis-15814	39	29	the	the	DET
fcis-15814	39	30	most	most	ADV
fcis-15814	39	31	suitable	suitable	ADJ
fcis-15814	39	32	3d	3d	PROPN
fcis-15814	39	33	cnn	cnn	PROPN
fcis-15814	39	34	for	for	ADP
fcis-15814	39	35	gallbladder	gallbladder	NOUN
fcis-15814	39	36	cancer	cancer	NOUN
fcis-15814	39	37	classification	classification	NOUN
fcis-15814	39	38	was	be	AUX
fcis-15814	39	39	selected	select	VERB
fcis-15814	39	40	.	.	PUNCT
fcis-15814	40	1	in	in	ADP
fcis-15814	40	2	traditional	traditional	ADJ
fcis-15814	40	3	convolutional	convolutional	ADJ
fcis-15814	40	4	networks	network	NOUN
fcis-15814	40	5	,	,	PUNCT
fcis-15814	40	6	when	when	SCONJ
fcis-15814	40	7	the	the	DET
fcis-15814	40	8	output	output	NOUN
fcis-15814	40	9	features	feature	VERB
fcis-15814	40	10	of	of	ADP
fcis-15814	40	11	a	a	DET
fcis-15814	40	12	previous	previous	ADJ
fcis-15814	40	13	layer	layer	NOUN
fcis-15814	40	14	are	be	AUX
fcis-15814	40	15	needed	need	VERB
fcis-15814	40	16	by	by	ADP
fcis-15814	40	17	the	the	DET
fcis-15814	40	18	input	input	NOUN
fcis-15814	40	19	layer	layer	NOUN
fcis-15814	40	20	at	at	ADP
fcis-15814	40	21	the	the	DET
fcis-15814	40	22	back	back	NOUN
fcis-15814	40	23	,	,	PUNCT
fcis-15814	40	24	they	they	PRON
fcis-15814	40	25	need	need	VERB
fcis-15814	40	26	to	to	PART
fcis-15814	40	27	be	be	AUX
fcis-15814	40	28	convolved	convolve	VERB
fcis-15814	40	29	and	and	CCONJ
fcis-15814	40	30	then	then	ADV
fcis-15814	40	31	extracted	extract	VERB
fcis-15814	40	32	again	again	ADV
fcis-15814	40	33	.	.	PUNCT
fcis-15814	41	1	however	however	ADV
fcis-15814	41	2	,	,	PUNCT
fcis-15814	41	3	densenet	densenet	NOUN
fcis-15814	41	4	's	's	PART
fcis-15814	41	5	dense	dense	ADJ
fcis-15814	41	6	connections	connection	NOUN
fcis-15814	41	7	do	do	AUX
fcis-15814	41	8	not	not	PART
fcis-15814	41	9	need	need	VERB
fcis-15814	41	10	to	to	PART
fcis-15814	41	11	be	be	AUX
fcis-15814	41	12	extracted	extract	VERB
fcis-15814	41	13	again	again	ADV
fcis-15814	41	14	and	and	CCONJ
fcis-15814	41	15	can	can	AUX
fcis-15814	41	16	be	be	AUX
fcis-15814	41	17	directly	directly	ADV
fcis-15814	41	18	used	use	VERB
fcis-15814	41	19	by	by	ADP
fcis-15814	41	20	the	the	DET
fcis-15814	41	21	layer	layer	NOUN
fcis-15814	41	22	at	at	ADP
fcis-15814	41	23	the	the	DET
fcis-15814	41	24	back	back	NOUN
fcis-15814	41	25	,	,	PUNCT
fcis-15814	41	26	which	which	PRON
fcis-15814	41	27	greatly	greatly	ADV
fcis-15814	41	28	reduces	reduce	VERB
fcis-15814	41	29	the	the	DET
fcis-15814	41	30	consumption	consumption	NOUN
fcis-15814	41	31	of	of	ADP
fcis-15814	41	32	parameters	parameter	NOUN
fcis-15814	41	33	and	and	CCONJ
fcis-15814	41	34	the	the	DET
fcis-15814	41	35	amount	amount	NOUN
fcis-15814	41	36	of	of	ADP
fcis-15814	41	37	calculation	calculation	NOUN
fcis-15814	41	38	.	.	PUNCT
fcis-15814	42	1	in	in	ADP
fcis-15814	42	2	this	this	DET
fcis-15814	42	3	paper	paper	NOUN
fcis-15814	42	4	,	,	PUNCT
fcis-15814	42	5	it	it	PRON
fcis-15814	42	6	is	be	AUX
fcis-15814	42	7	selected	select	VERB
fcis-15814	42	8	as	as	ADP
fcis-15814	42	9	the	the	DET
fcis-15814	42	10	main	main	ADJ
fcis-15814	42	11	body	body	NOUN
fcis-15814	42	12	network	network	NOUN
fcis-15814	42	13	of	of	ADP
fcis-15814	42	14	shot	shot	ADJ
fcis-15814	42	15	boundary	boundary	ADJ
fcis-15814	42	16	detection	detection	NOUN
fcis-15814	42	17	.	.	PUNCT
fcis-15814	43	1	(	(	PUNCT
fcis-15814	43	2	a	a	X
fcis-15814	43	3	)	)	PUNCT
fcis-15814	43	4	dropout	dropout	NOUN
fcis-15814	43	5	(	(	PUNCT
fcis-15814	43	6	b)dropblock	b)dropblock	NOUN
fcis-15814	43	7	figure	figure	NOUN
fcis-15814	43	8	2	2	NUM
fcis-15814	43	9	.	.	PUNCT
fcis-15814	43	10	effect	effect	VERB
fcis-15814	43	11	comparison	comparison	NOUN
fcis-15814	43	12	between	between	ADP
fcis-15814	43	13	dropout	dropout	NOUN
fcis-15814	43	14	and	and	CCONJ
fcis-15814	43	15	dropblock	dropblock	VERB
fcis-15814	43	16	the	the	DET
fcis-15814	43	17	3ddensenet	3ddensenet	NUM
fcis-15814	43	18	proposed	propose	VERB
fcis-15814	43	19	in	in	ADP
fcis-15814	43	20	this	this	DET
fcis-15814	43	21	paper	paper	NOUN
fcis-15814	43	22	mainly	mainly	ADV
fcis-15814	43	23	consists	consist	VERB
fcis-15814	43	24	of	of	ADP
fcis-15814	43	25	conv3d	conv3d	PROPN
fcis-15814	43	26	,	,	PUNCT
fcis-15814	43	27	max	max	PROPN
fcis-15814	43	28	-	-	PUNCT
fcis-15814	43	29	pooling	pooling	NOUN
fcis-15814	43	30	,	,	PUNCT
fcis-15814	43	31	6	6	NUM
fcis-15814	43	32	sb	sb	NOUN
fcis-15814	43	33	d	d	NOUN
fcis-15814	43	34	blocks	block	NOUN
fcis-15814	43	35	,	,	PUNCT
fcis-15814	43	36	6	6	NUM
fcis-15814	43	37	sbdblock2	sbdblock2	NOUN
fcis-15814	43	38	,	,	PUNCT
fcis-15814	43	39	8	8	NUM
fcis-15814	43	40	sbdblock3	sbdblock3	NOUN
fcis-15814	43	41	,	,	PUNCT
fcis-15814	43	42	8	8	NUM
fcis-15814	43	43	sbdblock4	sbdblock4	NOUN
fcis-15814	43	44	and	and	CCONJ
fcis-15814	43	45	linear	linear	PROPN
fcis-15814	43	46	.	.	PUNCT
fcis-15814	44	1	the	the	DET
fcis-15814	44	2	structure	structure	NOUN
fcis-15814	44	3	is	be	AUX
fcis-15814	44	4	shown	show	VERB
fcis-15814	44	5	in	in	ADP
fcis-15814	44	6	figure	figure	NOUN
fcis-15814	44	7	1	1	NUM
fcis-15814	44	8	,	,	PUNCT
fcis-15814	44	9	and	and	CCONJ
fcis-15814	44	10	the	the	DET
fcis-15814	44	11	model	model	NOUN
fcis-15814	44	12	parameters	parameter	NOUN
fcis-15814	44	13	are	be	AUX
fcis-15814	44	14	shown	show	VERB
fcis-15814	44	15	in	in	ADP
fcis-15814	44	16	table	table	NOUN
fcis-15814	44	17	1	1	NUM
fcis-15814	44	18	.	.	PUNCT
fcis-15814	45	1	each	each	DET
fcis-15814	45	2	sbd	sbd	NOUN
fcis-15814	45	3	block	block	NOUN
fcis-15814	45	4	contains	contain	VERB
fcis-15814	45	5	dense	dense	ADJ
fcis-15814	45	6	block	block	NOUN
fcis-15814	45	7	dense	dense	ADJ
fcis-15814	45	8	connections	connection	NOUN
fcis-15814	45	9	and	and	CCONJ
fcis-15814	45	10	new	new	ADJ
fcis-15814	45	11	conv3d	conv3d	PROPN
fcis-15814	45	12	additions	addition	NOUN
fcis-15814	45	13	,	,	PUNCT
fcis-15814	45	14	followed	follow	VERB
fcis-15814	45	15	by	by	ADP
fcis-15814	45	16	a	a	DET
fcis-15814	45	17	bra	bra	NOUN
fcis-15814	45	18	module	module	NOUN
fcis-15814	45	19	containing	contain	VERB
fcis-15814	45	20	batch	batch	NOUN
fcis-15814	45	21	normal	normal	ADJ
fcis-15814	45	22	iza	iza	NOUN
fcis-15814	45	23	-	-	PUNCT
fcis-15814	45	24	tion	tion	NOUN
fcis-15814	45	25	,	,	PUNCT
fcis-15814	45	26	relu	relu	NOUN
fcis-15814	45	27	,	,	PUNCT
fcis-15814	45	28	and	and	CCONJ
fcis-15814	45	29	avg	avg	PROPN
fcis-15814	45	30	pooling	pooling	NOUN
fcis-15814	45	31	.	.	PUNCT
fcis-15814	46	1	finally	finally	ADV
fcis-15814	46	2	,	,	PUNCT
fcis-15814	46	3	linear	linear	ADJ
fcis-15814	46	4	layer	layer	NOUN
fcis-15814	46	5	outputs	output	VERB
fcis-15814	46	6	3	3	NUM
fcis-15814	46	7	types	type	NOUN
fcis-15814	46	8	of	of	ADP
fcis-15814	46	9	features	feature	NOUN
fcis-15814	46	10	.	.	PUNCT
fcis-15814	47	1	table	table	NOUN
fcis-15814	47	2	1	1	NUM
fcis-15814	47	3	.	.	PUNCT
fcis-15814	48	1	the	the	DET
fcis-15814	48	2	model	model	NOUN
fcis-15814	48	3	parameters	parameter	VERB
fcis-15814	48	4	of3d	of3d	PROPN
fcis-15814	48	5	densenet	densenet	NOUN
fcis-15814	48	6	layer	layer	NOUN
fcis-15814	48	7	kernel	kernel	PROPN
fcis-15814	48	8	feature	feature	NOUN
fcis-15814	48	9	map	map	NOUN
fcis-15814	48	10	followed	follow	VERB
fcis-15814	48	11	by	by	ADP
fcis-15814	48	12	input	input	NOUN
fcis-15814	48	13	-8×3×16×128×128	-8×3×16×128×128	PUNCT
fcis-15814	48	14	-	-	PUNCT
fcis-15814	48	15	cov	cov	NOUN
fcis-15814	48	16	3d	3d	NOUN
fcis-15814	48	17	7×7×7	7×7×7	NUM
fcis-15814	48	18	8×64×16×64×64	8×64×16×64×64	NUM
fcis-15814	48	19	bn	bn	ADJ
fcis-15814	48	20	,	,	PUNCT
fcis-15814	48	21	relu	relu	NOUN
fcis-15814	48	22	maxpooling	maxpoole	VERB
fcis-15814	48	23	3×3×3	3×3×3	NUM
fcis-15814	48	24	8×64×8×32×32	8×64×8×32×32	NUM
fcis-15814	48	25	bn	bn	NOUN
fcis-15814	48	26	,	,	PUNCT
fcis-15814	48	27	relu	relu	NOUN
fcis-15814	48	28	sbd	sbd	NOUN
fcis-15814	48	29	block1	block1	PROPN
fcis-15814	48	30	-8×32×8×32×32	-8×32×8×32×32	PUNCT
fcis-15814	48	31	bra	bra	NOUN
fcis-15814	48	32	sbd	sbd	NOUN
fcis-15814	48	33	block2	block2	PROPN
fcis-15814	49	1	-8×32×4×16×16	-8×32×4×16×16	NUM
fcis-15814	49	2	bra	bra	NOUN
fcis-15814	49	3	sbd	sbd	NOUN
fcis-15814	49	4	block3	block3	PROPN
fcis-15814	50	1	-8×32×2×8×8	-8×32×2×8×8	PROPN
fcis-15814	50	2	bra	bra	NOUN
fcis-15814	50	3	sbd	sbd	NOUN
fcis-15814	50	4	block4	block4	PROPN
fcis-15814	51	1	-8×32×1×4×4	-8×32×1×4×4	PROPN
fcis-15814	51	2	bra	bra	NOUN
fcis-15814	51	3	linear	linear	NOUN
fcis-15814	51	4	-1×3	-1×3	NOUN
fcis-15814	51	5	-	-	PUNCT
fcis-15814	51	6	in	in	ADP
fcis-15814	51	7	this	this	DET
fcis-15814	51	8	paper	paper	NOUN
fcis-15814	51	9	,	,	PUNCT
fcis-15814	51	10	the	the	DET
fcis-15814	51	11	cross	cross	NOUN
fcis-15814	51	12	entropy	entropy	PROPN
fcis-15814	51	13	loss	loss	NOUN
fcis-15814	51	14	function	function	NOUN
fcis-15814	51	15	is	be	AUX
fcis-15814	51	16	selected	select	VERB
fcis-15814	51	17	as	as	ADP
fcis-15814	51	18	the	the	DET
fcis-15814	51	19	loss	loss	NOUN
fcis-15814	51	20	function	function	NOUN
fcis-15814	51	21	of	of	ADP
fcis-15814	51	22	3ddensenet	3ddensenet	NUM
fcis-15814	51	23	,	,	PUNCT
fcis-15814	51	24	and	and	CCONJ
fcis-15814	51	25	the	the	DET
fcis-15814	51	26	formula	formula	NOUN
fcis-15814	51	27	of	of	ADP
fcis-15814	51	28	the	the	DET
fcis-15814	51	29	cross	cross	PROPN
fcis-15814	51	30	entropy	entropy	PROPN
fcis-15814	51	31	loss	loss	NOUN
fcis-15814	51	32	function	function	NOUN
fcis-15814	51	33	is	be	AUX
fcis-15814	51	34	:	:	PUNCT
fcis-15814	51	35	l=-[ylogy+(1	l=-[ylogy+(1	PROPN
fcis-15814	51	36	-	-	PUNCT
fcis-15814	51	37	y	y	PROPN
fcis-15814	51	38	)	)	PUNCT
fcis-15814	51	39	log(1	log(1	NOUN
fcis-15814	51	40	-	-	PUNCT
fcis-15814	51	41	y	y	PROPN
fcis-15814	51	42	'	'	PUNCT
fcis-15814	51	43	)	)	PUNCT
fcis-15814	52	1	(	(	PUNCT
fcis-15814	52	2	1	1	X
fcis-15814	52	3	)	)	PUNCT
fcis-15814	52	4	make	make	VERB
fcis-15814	52	5	the	the	DET
fcis-15814	52	6	predicted	predict	VERB
fcis-15814	52	7	data	data	NOUN
fcis-15814	52	8	distribution	distribution	NOUN
fcis-15814	52	9	more	more	ADV
fcis-15814	52	10	closely	closely	ADV
fcis-15814	52	11	resemble	resemble	VERB
fcis-15814	52	12	the	the	DET
fcis-15814	52	13	real	real	ADJ
fcis-15814	52	14	data	datum	NOUN
fcis-15814	52	15	distribution	distribution	NOUN
fcis-15814	52	16	.	.	PUNCT
fcis-15814	53	1	set	set	VERB
fcis-15814	53	2	the	the	DET
fcis-15814	53	3	compression	compression	NOUN
fcis-15814	53	4	coefficient	coefficient	NOUN
fcis-15814	53	5	θ	θ	PROPN
fcis-15814	53	6	to	to	ADP
fcis-15814	53	7	0.5	0.5	NUM
fcis-15814	53	8	,	,	PUNCT
fcis-15814	53	9	growthrate	growthrate	VERB
fcis-15814	53	10	to	to	ADP
fcis-15814	53	11	32	32	NUM
fcis-15814	53	12	,	,	PUNCT
fcis-15814	53	13	and	and	CCONJ
fcis-15814	53	14	learning	learn	VERB
fcis-15814	53	15	rate	rate	NOUN
fcis-15814	53	16	to	to	ADP
fcis-15814	53	17	0.001	0.001	NUM
fcis-15814	53	18	.	.	PUNCT
fcis-15814	54	1	finally	finally	ADV
fcis-15814	54	2	,	,	PUNCT
fcis-15814	54	3	after	after	ADP
fcis-15814	54	4	the	the	DET
fcis-15814	54	5	post	post	ADJ
fcis-15814	54	6	-	-	ADJ
fcis-15814	54	7	processing	processing	ADJ
fcis-15814	54	8	step	step	NOUN
fcis-15814	54	9	,	,	PUNCT
fcis-15814	54	10	the	the	DET
fcis-15814	54	11	color	color	NOUN
fcis-15814	54	12	histogram	histogram	NOUN
fcis-15814	54	13	method	method	NOUN
fcis-15814	54	14	is	be	AUX
fcis-15814	54	15	used	use	VERB
fcis-15814	54	16	to	to	PART
fcis-15814	54	17	detect	detect	VERB
fcis-15814	54	18	the	the	DET
fcis-15814	54	19	merged	merge	VERB
fcis-15814	54	20	gradient	gradient	ADJ
fcis-15814	54	21	frame	frame	NOUN
fcis-15814	54	22	segment	segment	NOUN
fcis-15814	54	23	again	again	ADV
fcis-15814	54	24	,	,	PUNCT
fcis-15814	54	25	which	which	PRON
fcis-15814	54	26	not	not	PART
fcis-15814	54	27	only	only	ADV
fcis-15814	54	28	improves	improve	VERB
fcis-15814	54	29	the	the	DET
fcis-15814	54	30	detection	detection	NOUN
fcis-15814	54	31	accuracy	accuracy	NOUN
fcis-15814	54	32	of	of	ADP
fcis-15814	54	33	the	the	DET
fcis-15814	54	34	gradient	gradient	ADJ
fcis-15814	54	35	frame	frame	NOUN
fcis-15814	54	36	segment	segment	NOUN
fcis-15814	54	37	,	,	PUNCT
fcis-15814	54	38	but	but	CCONJ
fcis-15814	54	39	also	also	ADV
fcis-15814	54	40	speeds	speed	VERB
fcis-15814	54	41	up	up	ADP
fcis-15814	54	42	the	the	DET
fcis-15814	54	43	detection	detection	NOUN
fcis-15814	54	44	speed	speed	NOUN
fcis-15814	54	45	[	[	X
fcis-15814	54	46	15	15	NUM
fcis-15814	54	47	]	]	SYM
fcis-15814	54	48	.	.	PUNCT
fcis-15814	55	1	3.2	3.2	NUM
fcis-15814	55	2	.	.	PUNCT
fcis-15814	56	1	model	model	PROPN
fcis-15814	56	2	architectures	architectures	PROPN
fcis-15814	56	3	model	model	NOUN
fcis-15814	56	4	evaluation	evaluation	NOUN
fcis-15814	56	5	indexes	index	NOUN
fcis-15814	56	6	include	include	VERB
fcis-15814	56	7	accuracy	accuracy	NOUN
fcis-15814	56	8	,	,	PUNCT
fcis-15814	56	9	speci	speci	NOUN
fcis-15814	56	10	-	-	ADJ
fcis-15814	56	11	ficity	ficity	NOUN
fcis-15814	56	12	,	,	PUNCT
fcis-15814	56	13	sensitivity	sensitivity	NOUN
fcis-15814	56	14	,	,	PUNCT
fcis-15814	56	15	precision	precision	NOUN
fcis-15814	56	16	and	and	CCONJ
fcis-15814	56	17	roc	roc	PROPN
fcis-15814	56	18	curve	curve	NOUN
fcis-15814	56	19	.	.	PUNCT
fcis-15814	57	1	the	the	DET
fcis-15814	57	2	calculation	calculation	NOUN
fcis-15814	57	3	formula	formula	NOUN
fcis-15814	57	4	of	of	ADP
fcis-15814	57	5	each	each	DET
fcis-15814	57	6	index	index	NOUN
fcis-15814	57	7	is	be	AUX
fcis-15814	57	8	shown	show	VERB
fcis-15814	57	9	as	as	SCONJ
fcis-15814	57	10	follows	follow	VERB
fcis-15814	57	11	:	:	PUNCT
fcis-15814	57	12	(	(	PUNCT
fcis-15814	57	13	2	2	X
fcis-15814	57	14	)	)	PUNCT
fcis-15814	57	15	(	(	PUNCT
fcis-15814	57	16	3	3	X
fcis-15814	57	17	)	)	PUNCT
fcis-15814	57	18	the	the	DET
fcis-15814	57	19	number	number	NOUN
fcis-15814	57	20	of	of	ADP
fcis-15814	57	21	patients	patient	NOUN
fcis-15814	57	22	with	with	ADP
fcis-15814	57	23	cystic	cystic	ADJ
fcis-15814	57	24	cancer	cancer	NOUN
fcis-15814	57	25	identified	identify	VERB
fcis-15814	57	26	by	by	ADP
fcis-15814	57	27	the	the	DET
fcis-15814	57	28	target	target	NOUN
fcis-15814	57	29	detector	detector	NOUN
fcis-15814	57	30	as	as	ADP
fcis-15814	57	31	benign	benign	ADJ
fcis-15814	57	32	gallbladder	gallbladder	NOUN
fcis-15814	57	33	disease	disease	NOUN
fcis-15814	57	34	;	;	PUNCT
fcis-15814	57	35	true	true	ADJ
fcis-15814	57	36	negatives	negative	NOUN
fcis-15814	57	37	83	83	NUM
fcis-15814	57	38	(	(	PUNCT
fcis-15814	57	39	tn	tn	NOUN
fcis-15814	57	40	)	)	PUNCT
fcis-15814	57	41	represent	represent	VERB
fcis-15814	57	42	the	the	DET
fcis-15814	57	43	number	number	NOUN
fcis-15814	57	44	of	of	ADP
fcis-15814	57	45	patients	patient	NOUN
fcis-15814	57	46	with	with	ADP
fcis-15814	57	47	benign	benign	ADJ
fcis-15814	57	48	gallbladder	gallbladder	NOUN
fcis-15814	57	49	disease	disease	NOUN
fcis-15814	57	50	identified	identify	VERB
fcis-15814	57	51	as	as	ADP
fcis-15814	57	52	non	non	ADJ
fcis-15814	57	53	-	-	ADJ
fcis-15814	57	54	gallbladder	gallbladder	ADJ
fcis-15814	57	55	cancer	cancer	NOUN
fcis-15814	57	56	by	by	ADP
fcis-15814	57	57	the	the	DET
fcis-15814	57	58	target	target	NOUN
fcis-15814	57	59	detector	detector	NOUN
fcis-15814	57	60	.	.	PUNCT
fcis-15814	58	1	z	z	PROPN
fcis-15814	58	2	represents	represent	VERB
fcis-15814	58	3	the	the	DET
fcis-15814	58	4	number	number	NOUN
fcis-15814	58	5	of	of	ADP
fcis-15814	58	6	gallbladder	gallbladder	NOUN
fcis-15814	58	7	cancer	cancer	NOUN
fcis-15814	58	8	patients	patient	NOUN
fcis-15814	58	9	;	;	PUNCT
fcis-15814	58	10	c	c	NOUN
fcis-15814	58	11	represents	represent	VERB
fcis-15814	58	12	the	the	DET
fcis-15814	58	13	number	number	NOUN
fcis-15814	58	14	of	of	ADP
fcis-15814	58	15	patients	patient	NOUN
fcis-15814	58	16	with	with	ADP
fcis-15814	58	17	benign	benign	ADJ
fcis-15814	58	18	gallbladder	gallbladder	NOUN
fcis-15814	58	19	disease	disease	NOUN
fcis-15814	58	20	.	.	PUNCT
fcis-15814	59	1	receiver	receiver	ADJ
fcis-15814	59	2	operating	operate	VERB
fcis-15814	59	3	characteristic	characteristic	ADJ
fcis-15814	59	4	curve	curve	NOUN
fcis-15814	59	5	(	(	PUNCT
fcis-15814	59	6	roc	roc	PROPN
fcis-15814	59	7	curve	curve	NOUN
fcis-15814	59	8	)	)	PUNCT
fcis-15814	59	9	is	be	AUX
fcis-15814	59	10	a	a	DET
fcis-15814	59	11	curve	curve	NOUN
fcis-15814	59	12	drawn	draw	VERB
fcis-15814	59	13	according	accord	VERB
fcis-15814	59	14	to	to	ADP
fcis-15814	59	15	a	a	DET
fcis-15814	59	16	series	series	NOUN
fcis-15814	59	17	of	of	ADP
fcis-15814	59	18	different	different	ADJ
fcis-15814	59	19	binary	binary	ADJ
fcis-15814	59	20	classification	classification	NOUN
fcis-15814	59	21	methods	method	NOUN
fcis-15814	59	22	(	(	PUNCT
fcis-15814	59	23	boundary	boundary	ADJ
fcis-15814	59	24	value	value	NOUN
fcis-15814	59	25	or	or	CCONJ
fcis-15814	59	26	determination	determination	NOUN
fcis-15814	59	27	threshold	threshold	NOUN
fcis-15814	59	28	)	)	PUNCT
fcis-15814	59	29	,	,	PUNCT
fcis-15814	59	30	with	with	ADP
fcis-15814	59	31	true	true	ADJ
fcis-15814	59	32	positive	positive	ADJ
fcis-15814	59	33	rate	rate	NOUN
fcis-15814	59	34	(	(	PUNCT
fcis-15814	59	35	sensitivity	sensitivity	NOUN
fcis-15814	59	36	)	)	PUNCT
fcis-15814	59	37	as	as	ADP
fcis-15814	59	38	the	the	DET
fcis-15814	59	39	vertical	vertical	ADJ
fcis-15814	59	40	coordinate	coordinate	NOUN
fcis-15814	59	41	and	and	CCONJ
fcis-15814	59	42	false	false	ADJ
fcis-15814	59	43	positive	positive	ADJ
fcis-15814	59	44	rate	rate	NOUN
fcis-15814	59	45	(	(	PUNCT
fcis-15814	59	46	specificity	specificity	NOUN
fcis-15814	59	47	)	)	PUNCT
fcis-15814	59	48	as	as	ADP
fcis-15814	59	49	the	the	DET
fcis-15814	59	50	horizontal	horizontal	ADJ
fcis-15814	59	51	coordinate	coordinate	NOUN
fcis-15814	59	52	.	.	PUNCT
fcis-15814	60	1	auc	auc	NOUN
fcis-15814	60	2	(	(	PUNCT
fcis-15814	60	3	areaunder	areaunder	NOUN
fcis-15814	60	4	curve	curve	NOUN
fcis-15814	60	5	)	)	PUNCT
fcis-15814	60	6	is	be	AUX
fcis-15814	60	7	the	the	DET
fcis-15814	60	8	area	area	NOUN
fcis-15814	60	9	under	under	ADP
fcis-15814	60	10	the	the	DET
fcis-15814	60	11	roc	roc	PROPN
fcis-15814	60	12	curve	curve	NOUN
fcis-15814	60	13	.	.	PUNCT
fcis-15814	61	1	scholars	scholar	NOUN
fcis-15814	61	2	often	often	ADV
fcis-15814	61	3	use	use	VERB
fcis-15814	61	4	the	the	DET
fcis-15814	61	5	auc	auc	NOUN
fcis-15814	61	6	value	value	NOUN
fcis-15814	61	7	as	as	ADP
fcis-15814	61	8	the	the	DET
fcis-15814	61	9	model	model	NOUN
fcis-15814	61	10	evaluation	evaluation	NOUN
fcis-15814	61	11	criterion	criterion	NOUN
fcis-15814	61	12	,	,	PUNCT
fcis-15814	61	13	and	and	CCONJ
fcis-15814	61	14	the	the	DET
fcis-15814	61	15	roc	roc	PROPN
fcis-15814	61	16	curve	curve	NOUN
fcis-15814	61	17	can	can	AUX
fcis-15814	61	18	not	not	PART
fcis-15814	61	19	clearly	clearly	ADV
fcis-15814	61	20	explain	explain	VERB
fcis-15814	61	21	which	which	DET
fcis-15814	61	22	classifier	classifier	NOUN
fcis-15814	61	23	has	have	VERB
fcis-15814	61	24	the	the	DET
fcis-15814	61	25	better	well	ADJ
fcis-15814	61	26	effect	effect	NOUN
fcis-15814	61	27	,	,	PUNCT
fcis-15814	61	28	while	while	SCONJ
fcis-15814	61	29	the	the	DET
fcis-15814	61	30	classifier	classifier	NOUN
fcis-15814	61	31	with	with	ADP
fcis-15814	61	32	the	the	DET
fcis-15814	61	33	larger	large	ADJ
fcis-15814	61	34	auc	auc	NOUN
fcis-15814	61	35	value	value	NOUN
fcis-15814	61	36	has	have	VERB
fcis-15814	61	37	the	the	DET
fcis-15814	61	38	better	well	ADJ
fcis-15814	61	39	effect	effect	NOUN
fcis-15814	61	40	.	.	PUNCT
fcis-15814	62	1	4	4	X
fcis-15814	62	2	.	.	X
fcis-15814	62	3	conclusion	conclusion	NOUN
fcis-15814	62	4	the	the	DET
fcis-15814	62	5	onset	onset	NOUN
fcis-15814	62	6	of	of	ADP
fcis-15814	62	7	gallbladder	gallbladder	NOUN
fcis-15814	62	8	cancer	cancer	NOUN
fcis-15814	62	9	is	be	AUX
fcis-15814	62	10	insidious	insidious	ADJ
fcis-15814	62	11	and	and	CCONJ
fcis-15814	62	12	most	most	ADJ
fcis-15814	62	13	of	of	ADP
fcis-15814	62	14	the	the	DET
fcis-15814	62	15	early	early	ADJ
fcis-15814	62	16	stage	stage	NOUN
fcis-15814	62	17	is	be	AUX
fcis-15814	62	18	asymptomatic	asymptomatic	ADJ
fcis-15814	62	19	,	,	PUNCT
fcis-15814	62	20	so	so	CCONJ
fcis-15814	62	21	when	when	SCONJ
fcis-15814	62	22	patients	patient	NOUN
fcis-15814	62	23	find	find	VERB
fcis-15814	62	24	,	,	PUNCT
fcis-15814	62	25	the	the	DET
fcis-15814	62	26	lesion	lesion	NOUN
fcis-15814	62	27	has	have	AUX
fcis-15814	62	28	already	already	ADV
fcis-15814	62	29	developed	develop	VERB
fcis-15814	62	30	to	to	ADP
fcis-15814	62	31	the	the	DET
fcis-15814	62	32	advanced	advanced	ADJ
fcis-15814	62	33	stage	stage	NOUN
fcis-15814	62	34	,	,	PUNCT
fcis-15814	62	35	patients	patient	NOUN
fcis-15814	62	36	often	often	ADV
fcis-15814	62	37	lose	lose	VERB
fcis-15814	62	38	the	the	DET
fcis-15814	62	39	opportunity	opportunity	NOUN
fcis-15814	62	40	for	for	ADP
fcis-15814	62	41	treatment	treatment	NOUN
fcis-15814	62	42	because	because	SCONJ
fcis-15814	62	43	of	of	ADP
fcis-15814	62	44	the	the	DET
fcis-15814	62	45	late	late	ADJ
fcis-15814	62	46	stage	stage	NOUN
fcis-15814	62	47	of	of	ADP
fcis-15814	62	48	the	the	DET
fcis-15814	62	49	tumor	tumor	NOUN
fcis-15814	62	50	.	.	PUNCT
fcis-15814	63	1	clinical	clinical	ADJ
fcis-15814	63	2	diagnosis	diagnosis	NOUN
fcis-15814	63	3	of	of	ADP
fcis-15814	63	4	gallbladder	gallbladder	NOUN
fcis-15814	63	5	cancer	cancer	NOUN
fcis-15814	63	6	mainly	mainly	ADV
fcis-15814	63	7	relies	rely	VERB
fcis-15814	63	8	on	on	ADP
fcis-15814	63	9	traditional	traditional	ADJ
fcis-15814	63	10	imaging	imaging	NOUN
fcis-15814	63	11	,	,	PUNCT
fcis-15814	63	12	such	such	ADJ
fcis-15814	63	13	as	as	ADP
fcis-15814	63	14	dual	dual	ADJ
fcis-15814	63	15	-	-	PUNCT
fcis-15814	63	16	source	source	NOUN
fcis-15814	63	17	ct	ct	PROPN
fcis-15814	63	18	.	.	PUNCT
fcis-15814	64	1	however	however	ADV
fcis-15814	64	2	,	,	PUNCT
fcis-15814	64	3	the	the	DET
fcis-15814	64	4	recognition	recognition	NOUN
fcis-15814	64	5	of	of	ADP
fcis-15814	64	6	abdominal	abdominal	ADJ
fcis-15814	64	7	dual	dual	ADJ
fcis-15814	64	8	-	-	PUNCT
fcis-15814	64	9	source	source	NOUN
fcis-15814	64	10	ct	ct	NUM
fcis-15814	64	11	images	image	NOUN
fcis-15814	64	12	requires	require	VERB
fcis-15814	64	13	doctors	doctor	NOUN
fcis-15814	64	14	to	to	PART
fcis-15814	64	15	have	have	VERB
fcis-15814	64	16	rich	rich	ADJ
fcis-15814	64	17	professional	professional	ADJ
fcis-15814	64	18	knowledge	knowledge	NOUN
fcis-15814	64	19	and	and	CCONJ
fcis-15814	64	20	experience	experience	NOUN
fcis-15814	64	21	in	in	ADP
fcis-15814	64	22	reading	read	VERB
fcis-15814	64	23	the	the	DET
fcis-15814	64	24	images	image	NOUN
fcis-15814	64	25	.	.	PUNCT
fcis-15814	65	1	manual	manual	ADJ
fcis-15814	65	2	reading	read	VERB
fcis-15814	65	3	not	not	PART
fcis-15814	65	4	only	only	ADV
fcis-15814	65	5	consumes	consume	VERB
fcis-15814	65	6	a	a	DET
fcis-15814	65	7	lot	lot	NOUN
fcis-15814	65	8	of	of	ADP
fcis-15814	65	9	time	time	NOUN
fcis-15814	65	10	and	and	CCONJ
fcis-15814	65	11	energy	energy	NOUN
fcis-15814	65	12	,	,	PUNCT
fcis-15814	65	13	but	but	CCONJ
fcis-15814	65	14	also	also	ADV
fcis-15814	65	15	may	may	AUX
fcis-15814	65	16	cause	cause	VERB
fcis-15814	65	17	misjudgment	misjudgment	NOUN
fcis-15814	65	18	due	due	ADP
fcis-15814	65	19	to	to	ADP
fcis-15814	65	20	negligence	negligence	NOUN
fcis-15814	65	21	or	or	CCONJ
fcis-15814	65	22	subjective	subjective	ADJ
fcis-15814	65	23	factors	factor	NOUN
fcis-15814	65	24	.	.	PUNCT
fcis-15814	66	1	deep	deep	ADJ
fcis-15814	66	2	learning	learning	NOUN
fcis-15814	66	3	algorithm	algorithm	NOUN
fcis-15814	66	4	has	have	VERB
fcis-15814	66	5	the	the	DET
fcis-15814	66	6	characteristics	characteristic	NOUN
fcis-15814	66	7	of	of	ADP
fcis-15814	66	8	strong	strong	ADJ
fcis-15814	66	9	learning	learning	NOUN
fcis-15814	66	10	ability	ability	NOUN
fcis-15814	66	11	,	,	PUNCT
fcis-15814	66	12	wide	wide	ADJ
fcis-15814	66	13	coverage	coverage	NOUN
fcis-15814	66	14	,	,	PUNCT
fcis-15814	66	15	good	good	ADJ
fcis-15814	66	16	adaptability	adaptability	NOUN
fcis-15814	66	17	and	and	CCONJ
fcis-15814	66	18	high	high	ADJ
fcis-15814	66	19	upper	upper	ADJ
fcis-15814	66	20	limit	limit	NOUN
fcis-15814	66	21	.	.	PUNCT
fcis-15814	67	1	therefore	therefore	ADV
fcis-15814	67	2	,	,	PUNCT
fcis-15814	67	3	based	base	VERB
fcis-15814	67	4	on	on	ADP
fcis-15814	67	5	the	the	DET
fcis-15814	67	6	deep	deep	ADJ
fcis-15814	67	7	learning	learning	NOUN
fcis-15814	67	8	model	model	NOUN
fcis-15814	67	9	,	,	PUNCT
fcis-15814	67	10	this	this	DET
fcis-15814	67	11	paper	paper	NOUN
fcis-15814	67	12	realizes	realize	VERB
fcis-15814	67	13	the	the	DET
fcis-15814	67	14	diagnosis	diagnosis	NOUN
fcis-15814	67	15	of	of	ADP
fcis-15814	67	16	gallbladder	gallbladder	NOUN
fcis-15814	67	17	cancer	cancer	NOUN
fcis-15814	67	18	by	by	ADP
fcis-15814	67	19	extracting	extract	VERB
fcis-15814	67	20	image	image	NOUN
fcis-15814	67	21	features	feature	NOUN
fcis-15814	67	22	.	.	PUNCT
fcis-15814	68	1	experimental	experimental	ADJ
fcis-15814	68	2	verification	verification	NOUN
fcis-15814	68	3	shows	show	VERB
fcis-15814	68	4	that	that	SCONJ
fcis-15814	68	5	this	this	DET
fcis-15814	68	6	model	model	NOUN
fcis-15814	68	7	has	have	VERB
fcis-15814	68	8	certain	certain	ADJ
fcis-15814	68	9	feasibility	feasibility	NOUN
fcis-15814	68	10	in	in	ADP
fcis-15814	68	11	the	the	DET
fcis-15814	68	12	diagnosis	diagnosis	NOUN
fcis-15814	68	13	of	of	ADP
fcis-15814	68	14	gallbladder	gallbladder	NOUN
fcis-15814	68	15	cancer	cancer	NOUN
fcis-15814	68	16	.	.	PUNCT
fcis-15814	69	1	however	however	ADV
fcis-15814	69	2	,	,	PUNCT
fcis-15814	69	3	at	at	ADP
fcis-15814	69	4	present	present	ADJ
fcis-15814	69	5	the	the	DET
fcis-15814	69	6	model	model	NOUN
fcis-15814	69	7	is	be	AUX
fcis-15814	69	8	still	still	ADV
fcis-15814	69	9	there	there	PRON
fcis-15814	69	10	are	be	AUX
fcis-15814	69	11	the	the	DET
fcis-15814	69	12	following	follow	VERB
fcis-15814	69	13	problems	problem	NOUN
fcis-15814	69	14	:	:	PUNCT
fcis-15814	69	15	1	1	X
fcis-15814	69	16	)	)	PUNCT
fcis-15814	69	17	the	the	DET
fcis-15814	69	18	data	datum	NOUN
fcis-15814	69	19	of	of	ADP
fcis-15814	69	20	gallbladder	gallbladder	NOUN
fcis-15814	69	21	cancer	cancer	NOUN
fcis-15814	69	22	is	be	AUX
fcis-15814	69	23	small	small	ADJ
fcis-15814	69	24	.	.	PUNCT
fcis-15814	70	1	for	for	ADP
fcis-15814	70	2	medical	medical	ADJ
fcis-15814	70	3	image	image	NOUN
fcis-15814	70	4	research	research	NOUN
fcis-15814	70	5	,	,	PUNCT
fcis-15814	70	6	the	the	DET
fcis-15814	70	7	construction	construction	NOUN
fcis-15814	70	8	of	of	ADP
fcis-15814	70	9	data	datum	NOUN
fcis-15814	70	10	set	set	VERB
fcis-15814	70	11	is	be	AUX
fcis-15814	70	12	a	a	DET
fcis-15814	70	13	very	very	ADV
fcis-15814	70	14	important	important	ADJ
fcis-15814	70	15	part	part	NOUN
fcis-15814	70	16	,	,	PUNCT
fcis-15814	70	17	but	but	CCONJ
fcis-15814	70	18	medical	medical	ADJ
fcis-15814	70	19	data	datum	NOUN
fcis-15814	70	20	often	often	ADV
fcis-15814	70	21	has	have	VERB
fcis-15814	70	22	problems	problem	NOUN
fcis-15814	70	23	such	such	ADJ
fcis-15814	70	24	as	as	ADP
fcis-15814	70	25	difficult	difficult	ADJ
fcis-15814	70	26	collection	collection	NOUN
fcis-15814	70	27	,	,	PUNCT
fcis-15814	70	28	sensitive	sensitive	ADJ
fcis-15814	70	29	information	information	NOUN
fcis-15814	70	30	and	and	CCONJ
fcis-15814	70	31	unconcentrated	unconcentrated	ADJ
fcis-15814	70	32	distribution	distribution	NOUN
fcis-15814	70	33	.	.	PUNCT
fcis-15814	71	1	2)the	2)the	DET
fcis-15814	71	2	interpretability	interpretability	NOUN
fcis-15814	71	3	of	of	ADP
fcis-15814	71	4	deep	deep	ADJ
fcis-15814	71	5	learning	learning	NOUN
fcis-15814	71	6	model	model	NOUN
fcis-15814	71	7	has	have	AUX
fcis-15814	71	8	been	be	AUX
fcis-15814	71	9	criticized	criticize	VERB
fcis-15814	71	10	for	for	ADP
fcis-15814	71	11	a	a	DET
fcis-15814	71	12	long	long	ADJ
fcis-15814	71	13	time	time	NOUN
fcis-15814	71	14	.	.	PUNCT
fcis-15814	72	1	currently	currently	ADV
fcis-15814	72	2	,	,	PUNCT
fcis-15814	72	3	the	the	DET
fcis-15814	72	4	gold	gold	NOUN
fcis-15814	72	5	standard	standard	NOUN
fcis-15814	72	6	for	for	ADP
fcis-15814	72	7	diagnosing	diagnose	VERB
fcis-15814	72	8	gallbladder	gallbladder	NOUN
fcis-15814	72	9	cancer	cancer	NOUN
fcis-15814	72	10	is	be	AUX
fcis-15814	72	11	pathological	pathological	ADJ
fcis-15814	72	12	examination	examination	NOUN
fcis-15814	72	13	.	.	PUNCT
fcis-15814	73	1	therefore	therefore	ADV
fcis-15814	73	2	,	,	PUNCT
fcis-15814	73	3	this	this	DET
fcis-15814	73	4	paper	paper	NOUN
fcis-15814	73	5	proposes	propose	VERB
fcis-15814	73	6	a	a	DET
fcis-15814	73	7	depth	depth	NOUN
fcis-15814	73	8	shot	shot	NOUN
fcis-15814	73	9	boundary	boundary	ADJ
fcis-15814	73	10	detection	detection	NOUN
fcis-15814	73	11	method	method	NOUN
fcis-15814	73	12	combining	combine	VERB
fcis-15814	73	13	3d	3d	NUM
fcis-15814	73	14	convolution	convolution	NOUN
fcis-15814	73	15	and	and	CCONJ
fcis-15814	73	16	densenet	densenet	NOUN
fcis-15814	73	17	,	,	PUNCT
fcis-15814	73	18	which	which	PRON
fcis-15814	73	19	uses	use	VERB
fcis-15814	73	20	3d	3d	NUM
fcis-15814	73	21	convolution	convolution	NOUN
fcis-15814	73	22	to	to	PART
fcis-15814	73	23	capture	capture	VERB
fcis-15814	73	24	the	the	DET
fcis-15814	73	25	characteristics	characteristic	NOUN
fcis-15814	73	26	of	of	ADP
fcis-15814	73	27	temporal	temporal	ADJ
fcis-15814	73	28	and	and	CCONJ
fcis-15814	73	29	spatial	spatial	ADJ
fcis-15814	73	30	information	information	NOUN
fcis-15814	73	31	and	and	CCONJ
fcis-15814	73	32	extract	extract	VERB
fcis-15814	73	33	video	video	NOUN
fcis-15814	73	34	features	feature	NOUN
fcis-15814	73	35	to	to	ADP
fcis-15814	73	36	a	a	DET
fcis-15814	73	37	greater	great	ADJ
fcis-15814	73	38	extent	extent	NOUN
fcis-15814	73	39	.	.	PUNCT
fcis-15814	74	1	densenet	densenet	NOUN
fcis-15814	74	2	dense	dense	ADJ
fcis-15814	74	3	connection	connection	NOUN
fcis-15814	74	4	reduces	reduce	VERB
fcis-15814	74	5	parameter	parameter	NOUN
fcis-15814	74	6	calculation	calculation	NOUN
fcis-15814	74	7	,	,	PUNCT
fcis-15814	74	8	realizes	realize	VERB
fcis-15814	74	9	feature	feature	NOUN
fcis-15814	74	10	reuse	reuse	NOUN
fcis-15814	74	11	,	,	PUNCT
fcis-15814	74	12	and	and	CCONJ
fcis-15814	74	13	improves	improve	VERB
fcis-15814	74	14	efficiency	efficiency	NOUN
fcis-15814	74	15	.	.	PUNCT
fcis-15814	75	1	experiments	experiment	NOUN
fcis-15814	75	2	and	and	CCONJ
fcis-15814	75	3	comparisons	comparison	NOUN
fcis-15814	75	4	on	on	ADP
fcis-15814	75	5	the	the	DET
fcis-15814	75	6	commonly	commonly	ADV
fcis-15814	75	7	used	use	VERB
fcis-15814	75	8	ucf101_sbd	ucf101_sbd	NOUN
fcis-15814	75	9	and	and	CCONJ
fcis-15814	75	10	trecvid	trecvid	PROPN
fcis-15814	75	11	datasets	dataset	NOUN
fcis-15814	75	12	and	and	CCONJ
fcis-15814	75	13	clipshots	clipshot	NOUN
fcis-15814	75	14	,	,	PUNCT
fcis-15814	75	15	the	the	DET
fcis-15814	75	16	largest	large	ADJ
fcis-15814	75	17	shot	shoot	VERB
fcis-15814	75	18	boundary	boundary	ADJ
fcis-15814	75	19	detection	detection	NOUN
fcis-15814	75	20	dataset	dataset	NOUN
fcis-15814	75	21	,	,	PUNCT
fcis-15814	75	22	show	show	VERB
fcis-15814	75	23	that	that	SCONJ
fcis-15814	75	24	the	the	DET
fcis-15814	75	25	proposed	propose	VERB
fcis-15814	75	26	method	method	NOUN
fcis-15814	75	27	has	have	VERB
fcis-15814	75	28	good	good	ADJ
fcis-15814	75	29	detection	detection	NOUN
fcis-15814	75	30	effect	effect	NOUN
fcis-15814	75	31	and	and	CCONJ
fcis-15814	75	32	improves	improve	VERB
fcis-15814	75	33	detection	detection	NOUN
fcis-15814	75	34	efficiency	efficiency	NOUN
fcis-15814	75	35	.	.	PUNCT
fcis-15814	76	1	however	however	ADV
fcis-15814	76	2	,	,	PUNCT
fcis-15814	76	3	the	the	DET
fcis-15814	76	4	model	model	NOUN
fcis-15814	76	5	proposed	propose	VERB
fcis-15814	76	6	in	in	ADP
fcis-15814	76	7	this	this	DET
fcis-15814	76	8	paper	paper	NOUN
fcis-15814	76	9	is	be	AUX
fcis-15814	76	10	constructed	construct	VERB
fcis-15814	76	11	based	base	VERB
fcis-15814	76	12	on	on	ADP
fcis-15814	76	13	the	the	DET
fcis-15814	76	14	preoperative	preoperative	ADJ
fcis-15814	76	15	image	image	NOUN
fcis-15814	76	16	data	datum	NOUN
fcis-15814	76	17	of	of	ADP
fcis-15814	76	18	patients	patient	NOUN
fcis-15814	76	19	,	,	PUNCT
fcis-15814	76	20	and	and	CCONJ
fcis-15814	76	21	the	the	DET
fcis-15814	76	22	image	image	NOUN
fcis-15814	76	23	data	datum	NOUN
fcis-15814	76	24	alone	alone	ADV
fcis-15814	76	25	can	can	AUX
fcis-15814	76	26	not	not	PART
fcis-15814	76	27	completely	completely	ADV
fcis-15814	76	28	accurately	accurately	ADV
fcis-15814	76	29	determine	determine	VERB
fcis-15814	76	30	whether	whether	SCONJ
fcis-15814	76	31	a	a	DET
fcis-15814	76	32	patient	patient	NOUN
fcis-15814	76	33	is	be	AUX
fcis-15814	76	34	a	a	DET
fcis-15814	76	35	gallbladder	gallbladder	NOUN
fcis-15814	76	36	cancer	cancer	NOUN
fcis-15814	76	37	patient	patient	NOUN
fcis-15814	76	38	.	.	PUNCT
fcis-15814	77	1	in	in	ADP
fcis-15814	77	2	addition	addition	NOUN
fcis-15814	77	3	,	,	PUNCT
fcis-15814	77	4	the	the	DET
fcis-15814	77	5	specific	specific	ADJ
fcis-15814	77	6	meaning	meaning	NOUN
fcis-15814	77	7	of	of	ADP
fcis-15814	77	8	the	the	DET
fcis-15814	77	9	deep	deep	ADJ
fcis-15814	77	10	features	feature	NOUN
fcis-15814	77	11	extracted	extract	VERB
fcis-15814	77	12	by	by	ADP
fcis-15814	77	13	deep	deep	ADJ
fcis-15814	77	14	learning	learning	NOUN
fcis-15814	77	15	can	can	AUX
fcis-15814	77	16	not	not	PART
fcis-15814	77	17	be	be	AUX
fcis-15814	77	18	explained	explain	VERB
fcis-15814	77	19	,	,	PUNCT
fcis-15814	77	20	and	and	CCONJ
fcis-15814	77	21	subsequent	subsequent	ADJ
fcis-15814	77	22	work	work	NOUN
fcis-15814	77	23	will	will	AUX
fcis-15814	77	24	consider	consider	VERB
fcis-15814	77	25	adding	add	VERB
fcis-15814	77	26	some	some	DET
fcis-15814	77	27	interpretable	interpretable	ADJ
fcis-15814	77	28	features	feature	NOUN
fcis-15814	77	29	.	.	PUNCT
fcis-15814	78	1	in	in	ADP
fcis-15814	78	2	summary	summary	NOUN
fcis-15814	78	3	,	,	PUNCT
fcis-15814	78	4	the	the	DET
fcis-15814	78	5	gallbladder	gallbladder	NOUN
fcis-15814	78	6	cancer	cancer	NOUN
fcis-15814	78	7	diagnosis	diagnosis	NOUN
fcis-15814	78	8	model	model	NOUN
fcis-15814	78	9	proposed	propose	VERB
fcis-15814	78	10	in	in	ADP
fcis-15814	78	11	this	this	DET
fcis-15814	78	12	paper	paper	NOUN
fcis-15814	78	13	based	base	VERB
fcis-15814	78	14	on	on	ADP
fcis-15814	78	15	the	the	DET
fcis-15814	78	16	improved	improved	ADJ
fcis-15814	78	17	3d	3d	NOUN
fcis-15814	78	18	-	-	PUNCT
fcis-15814	78	19	densenet	densenet	NOUN
fcis-15814	78	20	has	have	VERB
fcis-15814	78	21	good	good	ADJ
fcis-15814	78	22	accuracy	accuracy	NOUN
fcis-15814	78	23	and	and	CCONJ
fcis-15814	78	24	reliability	reliability	NOUN
fcis-15814	78	25	,	,	PUNCT
fcis-15814	78	26	and	and	CCONJ
fcis-15814	78	27	large	large	ADJ
fcis-15814	78	28	-	-	PUNCT
fcis-15814	78	29	scale	scale	NOUN
fcis-15814	78	30	multi	multi	ADJ
fcis-15814	78	31	-	-	ADJ
fcis-15814	78	32	center	center	ADJ
fcis-15814	78	33	experiments	experiment	NOUN
fcis-15814	78	34	will	will	AUX
fcis-15814	78	35	be	be	AUX
fcis-15814	78	36	conducted	conduct	VERB
fcis-15814	78	37	in	in	ADP
fcis-15814	78	38	the	the	DET
fcis-15814	78	39	future	future	NOUN
fcis-15814	78	40	to	to	PART
fcis-15814	78	41	promote	promote	VERB
fcis-15814	78	42	the	the	DET
fcis-15814	78	43	application	application	NOUN
fcis-15814	78	44	of	of	ADP
fcis-15814	78	45	this	this	DET
fcis-15814	78	46	model	model	NOUN
fcis-15814	78	47	in	in	ADP
fcis-15814	78	48	clinical	clinical	ADJ
fcis-15814	78	49	assisted	assist	VERB
fcis-15814	78	50	diagnosis	diagnosis	NOUN
fcis-15814	78	51	.	.	PUNCT
fcis-15814	79	1	references	reference	NOUN
fcis-15814	79	2	[	[	X
fcis-15814	79	3	1	1	X
fcis-15814	79	4	]	]	X
fcis-15814	79	5	shi	shi	PROPN
fcis-15814	79	6	j	j	PROPN
fcis-15814	79	7	s	s	PROPN
fcis-15814	79	8	,	,	PUNCT
fcis-15814	79	9	liu	liu	PROPN
fcis-15814	79	10	g	g	PROPN
fcis-15814	79	11	,	,	PUNCT
fcis-15814	79	12	yu	yu	PROPN
fcis-15814	79	13	y	y	PROPN
fcis-15814	79	14	l	l	PROPN
fcis-15814	79	15	,	,	PUNCT
fcis-15814	79	16	et	et	PROPN
fcis-15814	79	17	al	al	PROPN
fcis-15814	79	18	.	.	PROPN
fcis-15814	80	1	early	early	ADJ
fcis-15814	80	2	diagnosis	diagnosis	NOUN
fcis-15814	80	3	of	of	ADP
fcis-15814	80	4	primary	primary	ADJ
fcis-15814	80	5	gallbladdercarcinoma	gallbladdercarcinoma	NOUN
fcis-15814	81	1	[	[	X
fcis-15814	81	2	i	i	X
fcis-15814	81	3	]	]	X
fcis-15814	81	4	.	.	PUNCT
fcis-15814	82	1	chinese	chinese	ADJ
fcis-15814	82	2	journal	journal	PROPN
fcis-15814	82	3	of	of	ADP
fcis-15814	82	4	hepatobiliary	hepatobiliary	ADJ
fcis-15814	82	5	surgery	surgery	NOUN
fcis-15814	82	6	,	,	PUNCT
fcis-15814	82	7	2000	2000	NUM
fcis-15814	82	8	,	,	PUNCT
fcis-15814	82	9	6	6	NUM
fcis-15814	82	10	(	(	PUNCT
fcis-15814	82	11	6	6	NUM
fcis-15814	82	12	)	)	PUNCT
fcis-15814	82	13	:	:	PUNCT
fcis-15814	82	14	436	436	NUM
fcis-15814	82	15	-	-	SYM
fcis-15814	82	16	438	438	NUM
fcis-15814	82	17	.	.	PUNCT
fcis-15814	83	1	[	[	X
fcis-15814	83	2	2	2	NUM
fcis-15814	83	3	]	]	PUNCT
fcis-15814	83	4	levy	levy	NOUN
fcis-15814	83	5	a	a	DET
fcis-15814	83	6	d	d	NOUN
fcis-15814	83	7	,	,	PUNCT
fcis-15814	83	8	murakata	murakata	NOUN
fcis-15814	83	9	l	l	NOUN
fcis-15814	83	10	a	a	X
fcis-15814	83	11	,	,	PUNCT
fcis-15814	83	12	rohrmann	rohrmann	PROPN
fcis-15814	83	13	c	c	PROPN
fcis-15814	83	14	a.	a.	NOUN
fcis-15814	83	15	gallbladder	gallbladder	NOUN
fcis-15814	83	16	carcinoma	carcinoma	NOUN
fcis-15814	83	17	:	:	PUNCT
fcis-15814	83	18	radiologic	radiologic	ADJ
fcis-15814	83	19	-	-	PUNCT
fcis-15814	83	20	pathologic	pathologic	ADJ
fcis-15814	83	21	correlation[j	correlation[j	NOUN
fcis-15814	83	22	]	]	PUNCT
fcis-15814	83	23	.	.	PUNCT
fcis-15814	84	1	radiographics	radiographic	NOUN
fcis-15814	84	2	,	,	PUNCT
fcis-15814	84	3	2001	2001	NUM
fcis-15814	84	4	,	,	PUNCT
fcis-15814	84	5	21(2	21(2	NUM
fcis-15814	84	6	)	)	PUNCT
fcis-15814	84	7	:	:	PUNCT
fcis-15814	84	8	295	295	NUM
fcis-15814	84	9	-	-	SYM
fcis-15814	84	10	314	314	NUM
fcis-15814	84	11	.	.	PUNCT
fcis-15814	85	1	[	[	X
fcis-15814	85	2	3	3	X
fcis-15814	85	3	]	]	X
fcis-15814	85	4	zhang	zhang	PROPN
fcis-15814	85	5	g	g	PROPN
fcis-15814	85	6	l	l	PROPN
fcis-15814	85	7	,	,	PUNCT
fcis-15814	85	8	chen	chen	PROPN
fcis-15814	85	9	j	j	PROPN
fcis-15814	85	10	r	r	PROPN
fcis-15814	85	11	,	,	PUNCT
fcis-15814	85	12	wang	wang	PROPN
fcis-15814	85	13	y	y	PROPN
fcis-15814	85	14	o.	o.	PROPN
fcis-15814	85	15	ct	ct	NUM
fcis-15814	85	16	diagnosis	diagnosis	NOUN
fcis-15814	85	17	of	of	ADP
fcis-15814	85	18	gallbladder	gallbladder	NOUN
fcis-15814	85	19	cancer[j	cancer[j	NOUN
fcis-15814	85	20	]	]	PUNCT
fcis-15814	85	21	.	.	PUNCT
fcis-15814	86	1	chinese	chinese	ADJ
fcis-15814	86	2	journal	journal	PROPN
fcis-15814	86	3	of	of	ADP
fcis-15814	86	4	medical	medical	ADJ
fcis-15814	86	5	computer	computer	NOUN
fcis-15814	86	6	lmaging	lmaging	NOUN
fcis-15814	86	7	,	,	PUNCT
fcis-15814	86	8	2004	2004	NUM
fcis-15814	86	9	,	,	PUNCT
fcis-15814	86	10	9(1):34	9(1):34	NUM
fcis-15814	86	11	-	-	SYM
fcis-15814	86	12	38	38	NUM
fcis-15814	86	13	.	.	PUNCT
fcis-15814	87	1	[	[	X
fcis-15814	87	2	4	4	X
fcis-15814	87	3	]	]	X
fcis-15814	87	4	yan	yan	PROPN
fcis-15814	87	5	r	r	PROPN
fcis-15814	87	6	,	,	PUNCT
fcis-15814	87	7	chen	chen	PROPN
fcis-15814	87	8	l	l	PROPN
fcis-15814	87	9	m	m	PROPN
fcis-15814	87	10	,	,	PUNCT
fcis-15814	87	11	l	l	PROPN
fcis-15814	87	12	j	j	PROPN
fcis-15814	87	13	t	t	PROPN
fcis-15814	87	14	,	,	PUNCT
fcis-15814	87	15	et	et	PROPN
fcis-15814	87	16	al	al	PROPN
fcis-15814	87	17	.	.	PUNCT
fcis-15814	87	18	research	research	NOUN
fcis-15814	87	19	progress	progress	NOUN
fcis-15814	87	20	of	of	ADP
fcis-15814	87	21	cancer	cancer	NOUN
fcis-15814	87	22	classification	classification	NOUN
fcis-15814	87	23	based	base	VERB
fcis-15814	87	24	on	on	ADP
fcis-15814	87	25	deep	deep	ADJ
fcis-15814	87	26	learning	learning	NOUN
fcis-15814	87	27	and	and	CCONJ
fcis-15814	87	28	histopathological	histopathological	ADJ
fcis-15814	87	29	images[j	images[j	PROPN
fcis-15814	87	30	]	]	PUNCT
fcis-15814	87	31	.	.	PUNCT
fcis-15814	88	1	medical	medical	ADJ
fcis-15814	88	2	jour	jour	X
fcis-15814	88	3	-	-	ADJ
fcis-15814	88	4	nal	nal	ADJ
fcis-15814	88	5	of	of	ADP
fcis-15814	88	6	peking	peking	PROPN
fcis-15814	88	7	union	union	PROPN
fcis-15814	88	8	medical	medical	PROPN
fcis-15814	88	9	college	college	PROPN
fcis-15814	88	10	hospital	hospital	NOUN
fcis-15814	88	11	,	,	PUNCT
fcis-15814	88	12	2021	2021	NUM
fcis-15814	88	13	,	,	PUNCT
fcis-15814	88	14	12(5	12(5	NUM
fcis-15814	88	15	):	):	PUNCT
fcis-15814	88	16	742	742	NUM
fcis-15814	88	17	-	-	SYM
fcis-15814	88	18	748	748	NUM
fcis-15814	88	19	.	.	PUNCT
fcis-15814	89	1	[	[	X
fcis-15814	89	2	5	5	NUM
fcis-15814	89	3	]	]	X
fcis-15814	89	4	wu	wu	PROPN
fcis-15814	89	5	s	s	PROPN
fcis-15814	89	6	y	y	PROPN
fcis-15814	89	7	,	,	PUNCT
fcis-15814	89	8	ren	ren	PROPN
fcis-15814	89	9	j	j	PROPN
fcis-15814	89	10	s	s	PROPN
fcis-15814	89	11	zhang	zhang	PROPN
fcis-15814	89	12	r	r	PROPN
fcis-15814	89	13	,	,	PUNCT
fcis-15814	89	14	et	et	PROPN
fcis-15814	89	15	al	al	PROPN
fcis-15814	89	16	.	.	PUNCT
fcis-15814	90	1	classification	classification	NOUN
fcis-15814	90	2	of	of	ADP
fcis-15814	90	3	benign	benign	ADJ
fcis-15814	90	4	and	and	CCONJ
fcis-15814	90	5	malignant	malignant	ADJ
fcis-15814	90	6	pulmonary	pulmonary	ADJ
fcis-15814	90	7	nodules	nodule	NOUN
fcis-15814	90	8	based	base	VERB
fcis-15814	90	9	on	on	ADP
fcis-15814	90	10	convolutional	convolutional	ADJ
fcis-15814	90	11	neural	neural	ADJ
fcis-15814	90	12	networks[j	networks[j	NOUN
fcis-15814	90	13	]	]	X
fcis-15814	90	14	.	.	PUNCT
fcis-15814	91	1	chinese	chinese	ADJ
fcis-15814	91	2	medical	medical	ADJ
fcis-15814	91	3	engineering	engineering	NOUN
fcis-15814	91	4	,	,	PUNCT
fcis-15814	91	5	2020	2020	NUM
fcis-15814	91	6	,	,	PUNCT
fcis-15814	91	7	28	28	NUM
fcis-15814	91	8	(	(	PUNCT
fcis-15814	91	9	1	1	NUM
fcis-15814	91	10	)	)	PUNCT
fcis-15814	91	11	:	:	PUNCT
fcis-15814	92	1	1	1	NUM
fcis-15814	92	2	-	-	SYM
fcis-15814	92	3	3	3	NUM
fcis-15814	92	4	.	.	PUNCT
fcis-15814	93	1	[	[	X
fcis-15814	93	2	6	6	NUM
fcis-15814	93	3	]	]	SYM
fcis-15814	93	4	wu	wu	PROPN
fcis-15814	93	5	y	y	PROPN
fcis-15814	93	6	f.	f.	PROPN
fcis-15814	93	7	research	research	PROPN
fcis-15814	93	8	on	on	ADP
fcis-15814	93	9	classification	classification	NOUN
fcis-15814	93	10	algorithm	algorithm	NOUN
fcis-15814	93	11	of	of	ADP
fcis-15814	93	12	pneumonia	pneumonia	NOUN
fcis-15814	93	13	medical	medical	ADJ
fcis-15814	93	14	ctimage	ctimage	NOUN
fcis-15814	93	15	based	base	VERB
fcis-15814	93	16	on	on	ADP
fcis-15814	93	17	deep	deep	ADJ
fcis-15814	93	18	learning	learning	NOUN
fcis-15814	93	19	[	[	PUNCT
fcis-15814	93	20	d	d	X
fcis-15814	93	21	]	]	X
fcis-15814	93	22	.	.	PUNCT
fcis-15814	94	1	fuzhou	fuzhou	PROPN
fcis-15814	94	2	:	:	PUNCT
fcis-15814	94	3	fujian	fujian	PROPN
fcis-15814	94	4	university	university	PROPN
fcis-15814	94	5	of	of	ADP
fcis-15814	94	6	tradition	tradition	NOUN
fcis-15814	94	7	-	-	PUNCT
fcis-15814	94	8	al	al	PROPN
fcis-15814	94	9	chinese	chinese	ADJ
fcis-15814	94	10	medicine	medicine	NOUN
fcis-15814	94	11	,	,	PUNCT
fcis-15814	94	12	2021	2021	NUM
fcis-15814	94	13	.	.	PUNCT
fcis-15814	95	1	[	[	X
fcis-15814	95	2	7	7	X
fcis-15814	95	3	]	]	X
fcis-15814	95	4	ye	ye	PROPN
fcis-15814	95	5	jc	jc	PROPN
fcis-15814	95	6	,	,	PUNCT
fcis-15814	95	7	zhong	zhong	PROPN
fcis-15814	95	8	b	b	PROPN
fcis-15814	95	9	r.	r.	PROPN
fcis-15814	95	10	covid-19	covid-19	PROPN
fcis-15814	95	11	ct	ct	PROPN
fcis-15814	95	12	image	image	NOUN
fcis-15814	95	13	recognition	recognition	NOUN
fcis-15814	95	14	based	base	VERB
fcis-15814	95	15	ondensenet	ondensenet	PROPN
fcis-15814	96	1	[	[	X
fcis-15814	96	2	j	j	X
fcis-15814	96	3	]	]	X
fcis-15814	96	4	.	.	PUNCT
fcis-15814	97	1	computer	computer	NOUN
fcis-15814	97	2	knowledge	knowledge	NOUN
fcis-15814	97	3	and	and	CCONJ
fcis-15814	97	4	technology	technology	NOUN
fcis-15814	97	5	,	,	PUNCT
fcis-15814	97	6	2021	2021	NUM
fcis-15814	97	7	,	,	PUNCT
fcis-15814	97	8	17	17	NUM
fcis-15814	97	9	(	(	PUNCT
fcis-15814	97	10	25	25	NUM
fcis-15814	97	11	)	)	PUNCT
fcis-15814	97	12	:	:	PUNCT
fcis-15814	97	13	106	106	NUM
fcis-15814	97	14	-	-	SYM
fcis-15814	97	15	108	108	NUM
fcis-15814	97	16	.	.	PUNCT
fcis-15814	98	1	[	[	X
fcis-15814	98	2	8	8	NUM
fcis-15814	98	3	]	]	PUNCT
fcis-15814	98	4	litjens	litjen	NOUN
fcis-15814	98	5	g	g	PROPN
fcis-15814	98	6	,	,	PUNCT
fcis-15814	98	7	sanchez	sanchez	PROPN
fcis-15814	98	8	c	c	PROPN
fcis-15814	98	9	i	i	PROPN
fcis-15814	98	10	,	,	PUNCT
fcis-15814	98	11	timofeeva	timofeeva	PROPN
fcis-15814	98	12	n	n	PROPN
fcis-15814	98	13	,	,	PUNCT
fcis-15814	98	14	et	et	PROPN
fcis-15814	98	15	al	al	PROPN
fcis-15814	98	16	.	.	PUNCT
fcis-15814	99	1	deep	deep	ADJ
fcis-15814	99	2	learning	learning	NOUN
fcis-15814	99	3	as	as	ADV
fcis-15814	99	4	atool	atool	ADJ
fcis-15814	99	5	for	for	ADP
fcis-15814	99	6	increased	increase	VERB
fcis-15814	99	7	accuracy	accuracy	NOUN
fcis-15814	99	8	and	and	CCONJ
fcis-15814	99	9	efficiency	efficiency	NOUN
fcis-15814	99	10	of	of	ADP
fcis-15814	99	11	histopathological	histopathological	ADJ
fcis-15814	99	12	diagnosis[j	diagnosis[j	NOUN
fcis-15814	99	13	]	]	PUNCT
fcis-15814	99	14	.	.	PUNCT
fcis-15814	100	1	scientific	scientific	ADJ
fcis-15814	100	2	reports	report	NOUN
fcis-15814	100	3	,	,	PUNCT
fcis-15814	100	4	2016	2016	NUM
fcis-15814	100	5	,	,	PUNCT
fcis-15814	100	6	6	6	NUM
fcis-15814	100	7	(	(	PUNCT
fcis-15814	100	8	1	1	NUM
fcis-15814	100	9	)	)	PUNCT
fcis-15814	100	10	:	:	PUNCT
fcis-15814	101	1	1	1	NUM
fcis-15814	101	2	-	-	SYM
fcis-15814	101	3	11	11	NUM
fcis-15814	101	4	.	.	PUNCT
fcis-15814	102	1	[	[	X
fcis-15814	102	2	9	9	NUM
fcis-15814	102	3	]	]	X
fcis-15814	102	4	chua	chua	PROPN
fcis-15814	102	5	l	l	PROPN
fcis-15814	102	6	o	o	PROPN
fcis-15814	102	7	,	,	PUNCT
fcis-15814	102	8	roska	roska	ADJ
fcis-15814	102	9	t.	t.	PROPN
fcis-15814	102	10	the	the	DET
fcis-15814	102	11	cnn	cnn	PROPN
fcis-15814	102	12	paradigm	paradigm	NOUN
fcis-15814	103	1	[	[	X
fcis-15814	103	2	j	j	X
fcis-15814	103	3	]	]	X
fcis-15814	103	4	.	.	PUNCT
fcis-15814	104	1	ieee	ieee	NOUN
fcis-15814	104	2	transactions	transaction	NOUN
fcis-15814	104	3	oncircuits	oncircuit	NOUN
fcis-15814	104	4	and	and	CCONJ
fcis-15814	104	5	systems	system	NOUN
fcis-15814	104	6	i	i	PRON
fcis-15814	104	7	:	:	PUNCT
fcis-15814	104	8	fundamental	fundamental	ADJ
fcis-15814	104	9	theory	theory	NOUN
fcis-15814	104	10	and	and	CCONJ
fcis-15814	104	11	applications	application	NOUN
fcis-15814	104	12	,	,	PUNCT
fcis-15814	104	13	1993	1993	NUM
fcis-15814	104	14	,	,	PUNCT
fcis-15814	104	15	40(3	40(3	NUM
fcis-15814	104	16	):	):	PUNCT
fcis-15814	104	17	147	147	NUM
fcis-15814	104	18	-	-	SYM
fcis-15814	104	19	156	156	NUM
fcis-15814	104	20	.	.	PUNCT
fcis-15814	105	1	[	[	X
fcis-15814	105	2	10	10	NUM
fcis-15814	105	3	]	]	PUNCT
fcis-15814	105	4	he	he	PRON
fcis-15814	105	5	k	k	PROPN
fcis-15814	105	6	,	,	PUNCT
fcis-15814	105	7	zhang	zhang	PROPN
fcis-15814	105	8	x	x	PROPN
fcis-15814	105	9	,	,	PUNCT
fcis-15814	105	10	ren	ren	PROPN
fcis-15814	105	11	s	s	PROPN
fcis-15814	105	12	,	,	PUNCT
fcis-15814	105	13	et	et	PROPN
fcis-15814	105	14	al	al	PROPN
fcis-15814	105	15	.	.	PUNCT
fcis-15814	106	1	deep	deep	ADJ
fcis-15814	106	2	residual	residual	ADJ
fcis-15814	106	3	learning	learning	NOUN
fcis-15814	106	4	for	for	ADP
fcis-15814	106	5	image	image	NOUN
fcis-15814	106	6	recog	recog	VERB
fcis-15814	106	7	~	~	PUNCT
fcis-15814	106	8	nition[c]/2017	nition[c]/2017	PRON
fcis-15814	106	9	ieee	ieee	NOUN
fcis-15814	106	10	2nd	2nd	PROPN
fcis-15814	106	11	information	information	NOUN
fcis-15814	106	12	technology	technology	NOUN
fcis-15814	106	13	,	,	PUNCT
fcis-15814	106	14	networking	networking	NOUN
fcis-15814	106	15	,	,	PUNCT
fcis-15814	106	16	elec	elec	NOUN
fcis-15814	106	17	-	-	PUNCT
fcis-15814	106	18	tronic	tronic	ADJ
fcis-15814	106	19	and	and	CCONJ
fcis-15814	106	20	automation	automation	NOUN
fcis-15814	106	21	control	control	NOUN
fcis-15814	106	22	conference	conference	NOUN
fcis-15814	106	23	,	,	PUNCT
fcis-15814	106	24	2016:770	2016:770	NUM
fcis-15814	106	25	-	-	SYM
fcis-15814	106	26	778	778	NUM
fcis-15814	106	27	.	.	PUNCT
fcis-15814	107	1	[	[	X
fcis-15814	107	2	11	11	NUM
fcis-15814	107	3	]	]	PUNCT
fcis-15814	107	4	zilly	zilly	ADV
fcis-15814	107	5	j	j	PROPN
fcis-15814	107	6	g	g	PROPN
fcis-15814	107	7	,	,	PUNCT
fcis-15814	107	8	srivastava	srivastava	PROPN
fcis-15814	107	9	r	r	PROPN
fcis-15814	107	10	k	k	PROPN
fcis-15814	107	11	,	,	PUNCT
fcis-15814	107	12	koutnk	koutnk	PROPN
fcis-15814	107	13	j	j	PROPN
fcis-15814	107	14	,	,	PUNCT
fcis-15814	107	15	et	et	PROPN
fcis-15814	107	16	al	al	PROPN
fcis-15814	107	17	.	.	PROPN
fcis-15814	108	1	recurrent	recurrent	PROPN
fcis-15814	108	2	highwaynetworks	highwaynetwork	NOUN
fcis-15814	109	1	[	[	X
fcis-15814	109	2	c]//proceedings	c]//proceeding	NOUN
fcis-15814	109	3	of	of	ADP
fcis-15814	109	4	the	the	DET
fcis-15814	109	5	34th	34th	ADJ
fcis-15814	109	6	international	international	ADJ
fcis-15814	109	7	conference	conference	NOUN
fcis-15814	109	8	on	on	ADP
fcis-15814	109	9	ma	ma	PROPN
fcis-15814	109	10	-	-	PUNCT
fcis-15814	109	11	chine	chine	ADJ
fcis-15814	109	12	learning	learning	NOUN
fcis-15814	109	13	,	,	PUNCT
fcis-15814	109	14	2017	2017	NUM
fcis-15814	109	15	:	:	PUNCT
fcis-15814	109	16	4189	4189	NUM
fcis-15814	109	17	-	-	SYM
fcis-15814	109	18	4198	4198	NUM
fcis-15814	109	19	.	.	PUNCT
fcis-15814	110	1	[	[	X
fcis-15814	110	2	12	12	NUM
fcis-15814	110	3	]	]	X
fcis-15814	110	4	chang	chang	PROPN
fcis-15814	110	5	che	che	PROPN
fcis-15814	110	6	,	,	PUNCT
fcis-15814	110	7	bo	bo	PROPN
fcis-15814	110	8	liu	liu	PROPN
fcis-15814	110	9	,	,	PUNCT
fcis-15814	110	10	shulin	shulin	PROPN
fcis-15814	110	11	li	li	PROPN
fcis-15814	110	12	,	,	PUNCT
fcis-15814	110	13	jiaxin	jiaxin	PROPN
fcis-15814	110	14	huang	huang	PROPN
fcis-15814	110	15	,	,	PUNCT
fcis-15814	110	16	and	and	CCONJ
fcis-15814	110	17	hao	hao	PROPN
fcis-15814	110	18	hu	hu	PROPN
fcis-15814	110	19	.	.	PUNCT
fcis-15814	111	1	deep	deep	ADJ
fcis-15814	111	2	learning	learning	NOUN
fcis-15814	111	3	for	for	ADP
fcis-15814	111	4	precise	precise	ADJ
fcis-15814	111	5	robot	robot	NOUN
fcis-15814	111	6	position	position	NOUN
fcis-15814	111	7	prediction	prediction	NOUN
fcis-15814	111	8	in	in	ADP
fcis-15814	111	9	logistics	logistic	NOUN
fcis-15814	111	10	.	.	PUNCT
fcis-15814	112	1	journal	journal	PROPN
fcis-15814	112	2	of	of	ADP
fcis-15814	112	3	theory	theory	NOUN
fcis-15814	112	4	and	and	CCONJ
fcis-15814	112	5	practice	practice	NOUN
fcis-15814	112	6	of	of	ADP
fcis-15814	112	7	engineering	engineering	NOUN
fcis-15814	112	8	science	science	NOUN
fcis-15814	112	9	,	,	PUNCT
fcis-15814	112	10	3	3	NUM
fcis-15814	112	11	(	(	PUNCT
fcis-15814	112	12	10	10	NUM
fcis-15814	112	13	):	):	PUNCT
fcis-15814	112	14	36–41	36–41	NUM
fcis-15814	112	15	,	,	PUNCT
fcis-15814	112	16	2023	2023	NUM
fcis-15814	112	17	.	.	PUNCT
fcis-15814	113	1	[	[	X
fcis-15814	113	2	13	13	NUM
fcis-15814	113	3	]	]	X
fcis-15814	113	4	hao	hao	PROPN
fcis-15814	113	5	hu	hu	PROPN
fcis-15814	113	6	,	,	PUNCT
fcis-15814	113	7	shulin	shulin	PROPN
fcis-15814	113	8	li	li	PROPN
fcis-15814	113	9	,	,	PUNCT
fcis-15814	113	10	jiaxin	jiaxin	PROPN
fcis-15814	113	11	huang	huang	PROPN
fcis-15814	113	12	,	,	PUNCT
fcis-15814	113	13	bo	bo	PROPN
fcis-15814	113	14	liu	liu	PROPN
fcis-15814	113	15	,	,	PUNCT
fcis-15814	113	16	and	and	CCONJ
fcis-15814	113	17	change	change	VERB
fcis-15814	113	18	che	che	PROPN
fcis-15814	113	19	.	.	PUNCT
fcis-15814	114	1	casting	cast	VERB
fcis-15814	114	2	product	product	NOUN
fcis-15814	114	3	image	image	NOUN
fcis-15814	114	4	data	datum	NOUN
fcis-15814	114	5	for	for	ADP
fcis-15814	114	6	quality	quality	NOUN
fcis-15814	114	7	inspection	inspection	NOUN
fcis-15814	114	8	with	with	ADP
fcis-15814	114	9	xception	xception	NOUN
fcis-15814	114	10	and	and	CCONJ
fcis-15814	114	11	data	datum	NOUN
fcis-15814	114	12	augmentation	augmentation	NOUN
fcis-15814	114	13	.	.	PUNCT
fcis-15814	115	1	journal	journal	PROPN
fcis-15814	115	2	of	of	ADP
fcis-15814	115	3	theory	theory	NOUN
fcis-15814	115	4	and	and	CCONJ
fcis-15814	115	5	practice	practice	NOUN
fcis-15814	115	6	of	of	ADP
fcis-15814	115	7	engineering	engineering	NOUN
fcis-15814	115	8	science	science	NOUN
fcis-15814	115	9	,	,	PUNCT
fcis-15814	115	10	3(10):42–46	3(10):42–46	NUM
fcis-15814	115	11	,	,	PUNCT
fcis-15814	115	12	2023	2023	NUM
fcis-15814	115	13	.	.	PUNCT
fcis-15814	116	1	[	[	X
fcis-15814	116	2	14	14	NUM
fcis-15814	116	3	]	]	SYM
fcis-15814	116	4	tianbo	tianbo	NOUN
fcis-15814	116	5	,	,	PUNCT
fcis-15814	116	6	song	song	NOUN
fcis-15814	116	7	,	,	PUNCT
fcis-15814	116	8	hu	hu	PROPN
fcis-15814	116	9	weijun	weijun	PROPN
fcis-15814	116	10	,	,	PUNCT
fcis-15814	116	11	cai	cai	PROPN
fcis-15814	116	12	jiangfeng	jiangfeng	PROPN
fcis-15814	116	13	,	,	PUNCT
fcis-15814	116	14	liu	liu	PROPN
fcis-15814	116	15	weijia	weijia	PROPN
fcis-15814	116	16	,	,	PUNCT
fcis-15814	116	17	yuan	yuan	PROPN
fcis-15814	116	18	quan	quan	PROPN
fcis-15814	116	19	,	,	PUNCT
fcis-15814	116	20	and	and	CCONJ
fcis-15814	116	21	he	he	PRON
fcis-15814	116	22	kun	kun	NOUN
fcis-15814	116	23	.	.	PUNCT
fcis-15814	117	1	"	"	PUNCT
fcis-15814	117	2	bio	bio	ADJ
fcis-15814	117	3	-	-	PUNCT
fcis-15814	117	4	inspired	inspired	ADJ
fcis-15814	117	5	swarm	swarm	NOUN
fcis-15814	117	6	intelligence	intelligence	NOUN
fcis-15814	117	7	:	:	PUNCT
fcis-15814	117	8	a	a	DET
fcis-15814	117	9	flocking	flock	VERB
fcis-15814	117	10	project	project	NOUN
fcis-15814	117	11	with	with	ADP
fcis-15814	117	12	group	group	NOUN
fcis-15814	117	13	object	object	NOUN
fcis-15814	117	14	recognition	recognition	NOUN
fcis-15814	117	15	.	.	PUNCT
fcis-15814	117	16	"	"	PUNCT
fcis-15814	118	1	in	in	ADP
fcis-15814	118	2	2023	2023	NUM
fcis-15814	118	3	3rd	3rd	ADJ
fcis-15814	118	4	international	international	ADJ
fcis-15814	118	5	conference	conference	NOUN
fcis-15814	118	6	on	on	ADP
fcis-15814	118	7	consumer	consumer	NOUN
fcis-15814	118	8	electronics	electronic	NOUN
fcis-15814	118	9	and	and	CCONJ
fcis-15814	118	10	computer	computer	NOUN
fcis-15814	118	11	engineering	engineering	NOUN
fcis-15814	118	12	(	(	PUNCT
fcis-15814	118	13	iccece	iccece	PROPN
fcis-15814	118	14	)	)	PUNCT
fcis-15814	118	15	,	,	PUNCT
fcis-15814	118	16	pp	pp	PROPN
fcis-15814	118	17	.	.	PUNCT
fcis-15814	119	1	834	834	NUM
fcis-15814	119	2	-	-	SYM
fcis-15814	119	3	837	837	NUM
fcis-15814	119	4	.	.	PUNCT
fcis-15814	120	1	ieee	ieee	NOUN
fcis-15814	120	2	,	,	PUNCT
fcis-15814	120	3	2023	2023	NUM
fcis-15814	120	4	.	.	PUNCT
fcis-15814	121	1	[	[	X
fcis-15814	121	2	15	15	NUM
fcis-15814	121	3	]	]	X
fcis-15814	121	4	lin	lin	PROPN
fcis-15814	121	5	,	,	PUNCT
fcis-15814	121	6	q.	q.	PROPN
fcis-15814	121	7	,	,	PUNCT
fcis-15814	121	8	che	che	PROPN
fcis-15814	121	9	,	,	PUNCT
fcis-15814	121	10	c.	c.	PROPN
fcis-15814	121	11	,	,	PUNCT
fcis-15814	121	12	hu	hu	PROPN
fcis-15814	121	13	,	,	PUNCT
fcis-15814	121	14	h.	h.	PROPN
fcis-15814	121	15	,	,	PUNCT
fcis-15814	121	16	zhao	zhao	PROPN
fcis-15814	121	17	,	,	PUNCT
fcis-15814	121	18	x.	x.	PROPN
fcis-15814	121	19	,	,	PUNCT
fcis-15814	121	20	&	&	CCONJ
fcis-15814	121	21	li	li	PROPN
fcis-15814	121	22	,	,	PUNCT
fcis-15814	121	23	s.	s.	PROPN
fcis-15814	121	24	(	(	PUNCT
fcis-15814	121	25	2023	2023	NUM
fcis-15814	121	26	)	)	PUNCT
fcis-15814	121	27	.	.	PUNCT
fcis-15814	122	1	a	a	DET
fcis-15814	122	2	comprehensive	comprehensive	ADJ
fcis-15814	122	3	study	study	NOUN
fcis-15814	122	4	on	on	ADP
fcis-15814	122	5	early	early	ADJ
fcis-15814	122	6	alzheimer	alzheimer	PROPN
fcis-15814	122	7	's	's	PART
fcis-15814	122	8	disease	disease	NOUN
fcis-15814	122	9	detection	detection	NOUN
fcis-15814	122	10	through	through	ADP
fcis-15814	122	11	advanced	advanced	ADJ
fcis-15814	122	12	machine	machine	NOUN
fcis-15814	122	13	learning	learn	VERB
fcis-15814	122	14	techniques	technique	NOUN
fcis-15814	122	15	on	on	ADP
fcis-15814	122	16	mri	mri	NOUN
fcis-15814	122	17	data	datum	NOUN
fcis-15814	122	18	.	.	PUNCT
fcis-15814	123	1	academic	academic	ADJ
fcis-15814	123	2	journal	journal	NOUN
fcis-15814	123	3	of	of	ADP
fcis-15814	123	4	science	science	NOUN
fcis-15814	123	5	and	and	CCONJ
fcis-15814	123	6	technology	technology	NOUN
fcis-15814	123	7	,	,	PUNCT
fcis-15814	123	8	8(1	8(1	NOUN
fcis-15814	123	9	)	)	PUNCT
fcis-15814	123	10	,	,	PUNCT
fcis-15814	123	11	281–285	281–285	NUM
fcis-15814	123	12	.	.	PUNCT
fcis-15814	124	1	[	[	X
fcis-15814	124	2	16	16	NUM
fcis-15814	124	3	]	]	X
fcis-15814	124	4	che	che	PROPN
fcis-15814	124	5	,	,	PUNCT
fcis-15814	124	6	c.	c.	PROPN
fcis-15814	124	7	,	,	PUNCT
fcis-15814	124	8	hu	hu	PROPN
fcis-15814	124	9	,	,	PUNCT
fcis-15814	124	10	h.	h.	PROPN
fcis-15814	124	11	,	,	PUNCT
fcis-15814	124	12	zhao	zhao	PROPN
fcis-15814	124	13	,	,	PUNCT
fcis-15814	124	14	x.	x.	PROPN
fcis-15814	124	15	,	,	PUNCT
fcis-15814	124	16	li	li	PROPN
fcis-15814	124	17	,	,	PUNCT
fcis-15814	124	18	s.	s.	PROPN
fcis-15814	124	19	,	,	PUNCT
fcis-15814	124	20	&	&	CCONJ
fcis-15814	124	21	lin	lin	PROPN
fcis-15814	124	22	,	,	PUNCT
fcis-15814	124	23	q.	q.	PROPN
fcis-15814	124	24	(	(	PUNCT
fcis-15814	124	25	2023	2023	NUM
fcis-15814	124	26	)	)	PUNCT
fcis-15814	124	27	.	.	PUNCT
fcis-15814	125	1	advancing	advance	VERB
fcis-15814	125	2	cancer	cancer	NOUN
fcis-15814	125	3	document	document	NOUN
fcis-15814	125	4	classification	classification	NOUN
fcis-15814	125	5	with	with	ADP
fcis-15814	125	6	r	r	NOUN
fcis-15814	125	7	andom	andom	NOUN
fcis-15814	125	8	forest	forest	NOUN
fcis-15814	125	9	.	.	PUNCT
fcis-15814	126	1	academic	academic	ADJ
fcis-15814	126	2	journal	journal	NOUN
fcis-15814	126	3	of	of	ADP
fcis-15814	126	4	science	science	NOUN
fcis-15814	126	5	and	and	CCONJ
fcis-15814	126	6	technology	technology	NOUN
fcis-15814	126	7	,	,	PUNCT
fcis-15814	126	8	8(1	8(1	NOUN
fcis-15814	126	9	)	)	PUNCT
fcis-15814	126	10	,	,	PUNCT
fcis-15814	126	11	278–280	278–280	NUM
fcis-15814	126	12	.	.	PUNCT
fcis-15814	127	1	84	84	NUM
fcis-15814	128	1	[	[	X
fcis-15814	128	2	17	17	NUM
fcis-15814	128	3	]	]	X
fcis-15814	128	4	huang	huang	PROPN
fcis-15814	128	5	g	g	PROPN
fcis-15814	128	6	,	,	PUNCT
fcis-15814	128	7	sun	sun	PROPN
fcis-15814	128	8	y	y	PROPN
fcis-15814	128	9	,	,	PUNCT
fcis-15814	128	10	liu	liu	PROPN
fcis-15814	128	11	z	z	PROPN
fcis-15814	128	12	,	,	PUNCT
fcis-15814	128	13	et	et	PROPN
fcis-15814	128	14	al	al	PROPN
fcis-15814	128	15	.	.	PUNCT
fcis-15814	129	1	deep	deep	ADJ
fcis-15814	129	2	networks	network	NOUN
fcis-15814	129	3	with	with	ADP
fcis-15814	129	4	stochastic	stochastic	ADJ
fcis-15814	129	5	depth[c]//european	depth[c]//european	ADJ
fcis-15814	129	6	conference	conference	NOUN
fcis-15814	129	7	on	on	ADP
fcis-15814	129	8	computer	computer	NOUN
fcis-15814	129	9	vision	vision	NOUN
fcis-15814	129	10	,	,	PUNCT
fcis-15814	129	11	2016	2016	NUM
fcis-15814	129	12	:	:	PUNCT
fcis-15814	129	13	646	646	NUM
fcis-15814	129	14	-	-	SYM
fcis-15814	129	15	661	661	NUM
fcis-15814	129	16	.	.	PUNCT
fcis-15814	130	1	[	[	X
fcis-15814	130	2	18	18	NUM
fcis-15814	130	3	]	]	X
fcis-15814	130	4	huang	huang	PROPN
fcis-15814	130	5	g	g	PROPN
fcis-15814	130	6	,	,	PUNCT
fcis-15814	130	7	liu	liu	PROPN
fcis-15814	130	8	z	z	PROPN
fcis-15814	130	9	,	,	PUNCT
fcis-15814	130	10	maaten	maaten	VERB
fcis-15814	130	11	l	l	NOUN
fcis-15814	130	12	,	,	PUNCT
fcis-15814	130	13	et	et	PROPN
fcis-15814	130	14	al	al	PROPN
fcis-15814	130	15	.	.	PROPN
fcis-15814	130	16	densely	densely	ADV
fcis-15814	130	17	connected	connect	VERB
fcis-15814	130	18	convolutionalnetworks[c]//proceedings	convolutionalnetworks[c]//proceeding	NOUN
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fcis-15814	130	20	the	the	DET
fcis-15814	130	21	2017	2017	NUM
fcis-15814	130	22	ieee	ieee	NOUN
fcis-15814	130	23	conference	conference	NOUN
fcis-15814	130	24	on	on	ADP
fcis-15814	130	25	computer	computer	NOUN
fcis-15814	130	26	vi	vi	NOUN
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fcis-15814	130	28	sion	sion	NOUN
fcis-15814	130	29	and	and	CCONJ
fcis-15814	130	30	pattern	pattern	NOUN
fcis-15814	130	31	recognition	recognition	NOUN
fcis-15814	130	32	,	,	PUNCT
fcis-15814	130	33	2017	2017	NUM
fcis-15814	130	34	:	:	PUNCT
fcis-15814	130	35	2261	2261	NUM
fcis-15814	130	36	-	-	SYM
fcis-15814	130	37	2269	2269	NUM
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fcis-15814	131	3	]	]	PUNCT
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fcis-15814	131	6	,	,	PUNCT
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fcis-15814	131	8	w	w	PROPN
fcis-15814	131	9	,	,	PUNCT
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fcis-15814	131	11	y	y	PROPN
fcis-15814	131	12	,	,	PUNCT
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fcis-15814	131	15	.	.	PUNCT
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fcis-15814	132	2	deeper	deeply	ADV
fcis-15814	132	3	with	with	ADP
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fcis-15814	132	5	[	[	PUNCT
fcis-15814	132	6	c]//proceedings	c]//proceeding	NOUN
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fcis-15814	132	8	the	the	DET
fcis-15814	132	9	2015	2015	NUM
fcis-15814	132	10	conference	conference	NOUN
fcis-15814	132	11	on	on	ADP
fcis-15814	132	12	computer	computer	NOUN
fcis-15814	132	13	vision	vision	NOUN
fcis-15814	132	14	and	and	CCONJ
fcis-15814	132	15	pattern	pattern	NOUN
fcis-15814	132	16	rec	rec	NOUN
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fcis-15814	132	19	,	,	PUNCT
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fcis-15814	132	21	-	-	SYM
fcis-15814	132	22	9	9	NUM
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fcis-15814	133	3	]	]	PUNCT
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fcis-15814	133	5	t	t	PROPN
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fcis-15814	133	8	application	application	NOUN
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fcis-15814	133	11	[	[	X
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fcis-15814	133	13	]	]	X
fcis-15814	133	14	.	.	PUNCT
fcis-15814	134	1	second	second	PROPN
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fcis-15814	134	3	.	.	PUNCT
fcis-15814	135	1	beijing	beijing	PROPN
fcis-15814	135	2	:	:	PUNCT
fcis-15814	135	3	science	science	NOUN
fcis-15814	135	4	press	press	PROPN
fcis-15814	135	5	,	,	PUNCT
fcis-15814	135	6	2000	2000	NUM
fcis-15814	135	7	.	.	PUNCT
fcis-15814	136	1	[	[	X
fcis-15814	136	2	21	21	NUM
fcis-15814	136	3	]	]	X
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fcis-15814	136	5	convolutional	convolutional	ADJ
fcis-15814	136	6	neural	neural	ADJ
fcis-15814	136	7	networks	network	NOUN
fcis-15814	136	8	arxiv	arxiv	PROPN
fcis-15814	136	9	preprint	preprint	PROPN
fcis-15814	136	10	arxiv	arxiv	PROPN
fcis-15814	136	11	:	:	PUNCT
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fcis-15814	136	13	.	.	PUNCT
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fcis-15814	137	2	.	.	PUNCT
fcis-15814	138	1	[	[	X
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fcis-15814	138	3	]	]	X
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fcis-15814	138	5	z	z	PROPN
fcis-15814	138	6	m	m	PROPN
fcis-15814	138	7	,	,	PUNCT
fcis-15814	138	8	shi	shi	PROPN
fcis-15814	138	9	y.fast	y.fast	PROPN
fcis-15814	138	10	video	video	NOUN
fcis-15814	138	11	shot	shoot	VERB
fcis-15814	138	12	boundary	boundary	ADJ
fcis-15814	138	13	detection	detection	NOUN
fcis-15814	138	14	basedon	basedon	NOUN
fcis-15814	138	15	svd	svd	PROPN
fcis-15814	138	16	and	and	CCONJ
fcis-15814	138	17	patern	patern	ADJ
fcis-15814	138	18	matching[j	matching[j	NOUN
fcis-15814	138	19	]	]	PUNCT
fcis-15814	138	20	.	.	PUNCT
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fcis-15814	139	2	transactions	transaction	NOUN
fcis-15814	139	3	onlmage	onlmage	NOUN
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fcis-15814	139	5	)	)	PUNCT
fcis-15814	139	6	:	:	PUNCT
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fcis-15814	140	2	23	23	NUM
fcis-15814	140	3	]	]	PUNCT
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fcis-15814	140	7	pitas	pitas	PROPN
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fcis-15814	140	11	c.	c.	PROPN
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fcis-15814	140	13	theory	theory	NOUN
fcis-15814	140	14	basedshot	basedshot	PROPN
fcis-15814	140	15	cut	cut	VERB
fcis-15814	140	16	fade	fade	NOUN
fcis-15814	140	17	detection	detection	NOUN
fcis-15814	140	18	and	and	CCONJ
fcis-15814	140	19	video	video	NOUN
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fcis-15814	141	3	on	on	ADP
fcis-15814	141	4	circuits	circuit	NOUN
fcis-15814	141	5	systems	system	NOUN
fcis-15814	141	6	for	for	ADP
fcis-15814	141	7	video	video	NOUN
fcis-15814	141	8	technology	technology	NOUN
fcis-15814	141	9	2005	2005	NUM
fcis-15814	141	10	,	,	PUNCT
fcis-15814	141	11	16(1	16(1	NUM
fcis-15814	141	12	)	)	PUNCT
fcis-15814	141	13	:	:	PUNCT
fcis-15814	141	14	8291	8291	NUM
fcis-15814	141	15	.	.	PUNCT