id	sid	tid	token	lemma	pos
fcis-15810	1	1	frontiers	frontier	NOUN
fcis-15810	1	2	in	in	ADP
fcis-15810	1	3	computing	computing	NOUN
fcis-15810	1	4	and	and	CCONJ
fcis-15810	1	5	intelligent	intelligent	ADJ
fcis-15810	1	6	systems	system	NOUN
fcis-15810	1	7	issn	issn	VERB
fcis-15810	1	8	:	:	PUNCT
fcis-15810	1	9	2832	2832	NUM
fcis-15810	1	10	-	-	SYM
fcis-15810	1	11	6024	6024	NUM
fcis-15810	1	12	|	|	NOUN
fcis-15810	1	13	vol	vol	NOUN
fcis-15810	1	14	.	.	PROPN
fcis-15810	2	1	6	6	NUM
fcis-15810	2	2	,	,	PUNCT
fcis-15810	2	3	no	no	INTJ
fcis-15810	2	4	.	.	NOUN
fcis-15810	2	5	3	3	NUM
fcis-15810	2	6	,	,	PUNCT
fcis-15810	2	7	2023	2023	NUM
fcis-15810	2	8	61	61	NUM
fcis-15810	2	9	application	application	NOUN
fcis-15810	2	10	of	of	ADP
fcis-15810	2	11	three‐dimensional	three‐dimensional	ADJ
fcis-15810	2	12	coding	code	VERB
fcis-15810	2	13	network	network	NOUN
fcis-15810	2	14	in	in	ADP
fcis-15810	2	15	screening	screening	NOUN
fcis-15810	2	16	and	and	CCONJ
fcis-15810	2	17	diagnosis	diagnosis	NOUN
fcis-15810	2	18	of	of	ADP
fcis-15810	2	19	cervical	cervical	ADJ
fcis-15810	2	20	precancerous	precancerous	ADJ
fcis-15810	2	21	lesions	lesion	NOUN
fcis-15810	2	22	yiming	yime	VERB
fcis-15810	2	23	pan	pan	NOUN
fcis-15810	2	24	1	1	NUM
fcis-15810	2	25	,	,	PUNCT
fcis-15810	2	26	*	*	PUNCT
fcis-15810	2	27	,	,	PUNCT
fcis-15810	2	28	zepeng	zepeng	NOUN
fcis-15810	2	29	shen	shen	NOUN
fcis-15810	2	30	2	2	NUM
fcis-15810	2	31	,	,	PUNCT
fcis-15810	2	32	yuhang	yuhang	NOUN
fcis-15810	2	33	he	he	PRON
fcis-15810	2	34	3	3	NUM
fcis-15810	2	35	,	,	PUNCT
fcis-15810	2	36	kuo	kuo	PROPN
fcis-15810	2	37	wei	wei	PROPN
fcis-15810	2	38	4	4	NUM
fcis-15810	2	39	,	,	PUNCT
fcis-15810	2	40	yuchen	yuchen	PROPN
fcis-15810	2	41	zhang	zhang	PROPN
fcis-15810	2	42	5	5	NUM
fcis-15810	2	43	1	1	NUM
fcis-15810	2	44	computer	computer	NOUN
fcis-15810	2	45	science	science	NOUN
fcis-15810	2	46	,	,	PUNCT
fcis-15810	2	47	individual	individual	ADJ
fcis-15810	2	48	contributor	contributor	NOUN
fcis-15810	2	49	,	,	PUNCT
fcis-15810	2	50	austin	austin	PROPN
fcis-15810	2	51	,	,	PUNCT
fcis-15810	2	52	tx	tx	PROPN
fcis-15810	2	53	,	,	PUNCT
fcis-15810	2	54	usa	usa	PROPN
fcis-15810	2	55	2	2	NUM
fcis-15810	2	56	network	network	NOUN
fcis-15810	2	57	engineering	engineering	NOUN
fcis-15810	2	58	,	,	PUNCT
fcis-15810	2	59	shaanxi	shaanxi	PROPN
fcis-15810	2	60	university	university	PROPN
fcis-15810	2	61	of	of	ADP
fcis-15810	2	62	technology	technology	PROPN
fcis-15810	2	63	,	,	PUNCT
fcis-15810	2	64	shaanxi	shaanxi	PROPN
fcis-15810	2	65	723001	723001	NUM
fcis-15810	2	66	,	,	PUNCT
fcis-15810	2	67	china	china	PROPN
fcis-15810	2	68	3	3	NUM
fcis-15810	2	69	computer	computer	NOUN
fcis-15810	2	70	science	science	NOUN
fcis-15810	2	71	and	and	CCONJ
fcis-15810	2	72	technology	technology	NOUN
fcis-15810	2	73	,	,	PUNCT
fcis-15810	2	74	tianjin	tianjin	PROPN
fcis-15810	2	75	university	university	PROPN
fcis-15810	2	76	of	of	ADP
fcis-15810	2	77	technology	technology	PROPN
fcis-15810	2	78	,	,	PUNCT
fcis-15810	2	79	tianjin	tianjin	PROPN
fcis-15810	2	80	,	,	PUNCT
fcis-15810	2	81	china	china	PROPN
fcis-15810	2	82	4	4	NUM
fcis-15810	2	83	computer	computer	NOUN
fcis-15810	2	84	science	science	NOUN
fcis-15810	2	85	,	,	PUNCT
fcis-15810	2	86	individual	individual	ADJ
fcis-15810	2	87	contributor	contributor	NOUN
fcis-15810	2	88	,	,	PUNCT
fcis-15810	2	89	shenzhen	shenzhen	PROPN
fcis-15810	2	90	,	,	PUNCT
fcis-15810	2	91	china	china	PROPN
fcis-15810	2	92	5	5	NUM
fcis-15810	2	93	biostatistics	biostatistic	NOUN
fcis-15810	2	94	,	,	PUNCT
fcis-15810	2	95	columbia	columbia	PROPN
fcis-15810	2	96	university	university	PROPN
fcis-15810	2	97	,	,	PUNCT
fcis-15810	2	98	ny	ny	PROPN
fcis-15810	2	99	,	,	PUNCT
fcis-15810	2	100	usa	usa	PROPN
fcis-15810	2	101	*	*	PUNCT
fcis-15810	2	102	corresponding	correspond	VERB
fcis-15810	2	103	author	author	NOUN
fcis-15810	2	104	:	:	PUNCT
fcis-15810	2	105	yiming	yiming	ADJ
fcis-15810	2	106	pan	pan	NOUN
fcis-15810	2	107	abstract	abstract	NOUN
fcis-15810	2	108	:	:	PUNCT
fcis-15810	2	109	globally	globally	ADV
fcis-15810	2	110	,	,	PUNCT
fcis-15810	2	111	the	the	DET
fcis-15810	2	112	incidence	incidence	NOUN
fcis-15810	2	113	of	of	ADP
fcis-15810	2	114	cervical	cervical	ADJ
fcis-15810	2	115	cancer	cancer	NOUN
fcis-15810	2	116	ranks	rank	VERB
fcis-15810	2	117	fourth	fourth	ADV
fcis-15810	2	118	among	among	ADP
fcis-15810	2	119	female	female	ADJ
fcis-15810	2	120	malignant	malignant	ADJ
fcis-15810	2	121	tumors	tumor	NOUN
fcis-15810	2	122	,	,	PUNCT
fcis-15810	2	123	seriously	seriously	ADV
fcis-15810	2	124	threatening	threaten	VERB
fcis-15810	2	125	the	the	DET
fcis-15810	2	126	physical	physical	ADJ
fcis-15810	2	127	and	and	CCONJ
fcis-15810	2	128	mental	mental	ADJ
fcis-15810	2	129	health	health	NOUN
fcis-15810	2	130	of	of	ADP
fcis-15810	2	131	women	woman	NOUN
fcis-15810	2	132	.	.	PUNCT
fcis-15810	3	1	early	early	ADJ
fcis-15810	3	2	detection	detection	NOUN
fcis-15810	3	3	and	and	CCONJ
fcis-15810	3	4	early	early	ADJ
fcis-15810	3	5	treatment	treatment	NOUN
fcis-15810	3	6	can	can	AUX
fcis-15810	3	7	greatly	greatly	ADV
fcis-15810	3	8	reduce	reduce	VERB
fcis-15810	3	9	the	the	DET
fcis-15810	3	10	mortality	mortality	NOUN
fcis-15810	3	11	of	of	ADP
fcis-15810	3	12	cervical	cervical	ADJ
fcis-15810	3	13	cancer	cancer	NOUN
fcis-15810	3	14	"	"	PUNCT
fcis-15810	3	15	cytology	cytology	NOUN
fcis-15810	3	16	/hpv	/hpv	PUNCT
fcis-15810	3	17	test	test	NOUN
fcis-15810	3	18	,	,	PUNCT
fcis-15810	3	19	colposcopy	colposcopy	NOUN
fcis-15810	3	20	and	and	CCONJ
fcis-15810	3	21	cervical	cervical	ADJ
fcis-15810	3	22	biopsy	biopsy	NOUN
fcis-15810	3	23	"	"	PUNCT
fcis-15810	3	24	is	be	AUX
fcis-15810	3	25	the	the	DET
fcis-15810	3	26	main	main	ADJ
fcis-15810	3	27	method	method	NOUN
fcis-15810	3	28	for	for	ADP
fcis-15810	3	29	clinical	clinical	ADJ
fcis-15810	3	30	diagnosis	diagnosis	NOUN
fcis-15810	3	31	of	of	ADP
fcis-15810	3	32	cervical	cervical	ADJ
fcis-15810	3	33	cancer	cancer	NOUN
fcis-15810	3	34	.	.	PUNCT
fcis-15810	4	1	the	the	DET
fcis-15810	4	2	progress	progress	NOUN
fcis-15810	4	3	of	of	ADP
fcis-15810	4	4	medical	medical	ADJ
fcis-15810	4	5	technology	technology	NOUN
fcis-15810	4	6	has	have	AUX
fcis-15810	4	7	significantly	significantly	ADV
fcis-15810	4	8	improved	improve	VERB
fcis-15810	4	9	the	the	DET
fcis-15810	4	10	early	early	ADJ
fcis-15810	4	11	diagnosis	diagnosis	NOUN
fcis-15810	4	12	of	of	ADP
fcis-15810	4	13	cervical	cervical	ADJ
fcis-15810	4	14	cancer	cancer	NOUN
fcis-15810	4	15	,	,	PUNCT
fcis-15810	4	16	but	but	CCONJ
fcis-15810	4	17	due	due	ADP
fcis-15810	4	18	to	to	ADP
fcis-15810	4	19	various	various	ADJ
fcis-15810	4	20	factors	factor	NOUN
fcis-15810	4	21	,	,	PUNCT
fcis-15810	4	22	there	there	PRON
fcis-15810	4	23	are	be	VERB
fcis-15810	4	24	still	still	ADV
fcis-15810	4	25	many	many	ADJ
fcis-15810	4	26	cases	case	NOUN
fcis-15810	4	27	of	of	ADP
fcis-15810	4	28	missed	miss	VERB
fcis-15810	4	29	diagnosis	diagnosis	NOUN
fcis-15810	4	30	and	and	CCONJ
fcis-15810	4	31	misdiagnosis	misdiagnosis	NOUN
fcis-15810	4	32	.	.	PUNCT
fcis-15810	5	1	in	in	ADP
fcis-15810	5	2	recent	recent	ADJ
fcis-15810	5	3	years	year	NOUN
fcis-15810	5	4	,	,	PUNCT
fcis-15810	5	5	artificial	artificial	ADJ
fcis-15810	5	6	intelligence	intelligence	NOUN
fcis-15810	5	7	has	have	AUX
fcis-15810	5	8	developed	develop	VERB
fcis-15810	5	9	rapidly	rapidly	ADV
fcis-15810	5	10	in	in	ADP
fcis-15810	5	11	the	the	DET
fcis-15810	5	12	medical	medical	ADJ
fcis-15810	5	13	field	field	NOUN
fcis-15810	5	14	,	,	PUNCT
fcis-15810	5	15	and	and	CCONJ
fcis-15810	5	16	has	have	AUX
fcis-15810	5	17	also	also	ADV
fcis-15810	5	18	shown	show	VERB
fcis-15810	5	19	good	good	ADJ
fcis-15810	5	20	applicability	applicability	NOUN
fcis-15810	5	21	in	in	ADP
fcis-15810	5	22	the	the	DET
fcis-15810	5	23	screening	screening	NOUN
fcis-15810	5	24	and	and	CCONJ
fcis-15810	5	25	diagnosis	diagnosis	NOUN
fcis-15810	5	26	of	of	ADP
fcis-15810	5	27	cervical	cervical	ADJ
fcis-15810	5	28	cancer	cancer	NOUN
fcis-15810	5	29	.	.	PUNCT
fcis-15810	6	1	in	in	ADP
fcis-15810	6	2	this	this	DET
fcis-15810	6	3	paper	paper	NOUN
fcis-15810	6	4	,	,	PUNCT
fcis-15810	6	5	we	we	PRON
fcis-15810	6	6	design	design	VERB
fcis-15810	6	7	an	an	DET
fcis-15810	6	8	mcssem	mcssem	NOUN
fcis-15810	6	9	structure	structure	NOUN
fcis-15810	6	10	that	that	PRON
fcis-15810	6	11	contains	contain	VERB
fcis-15810	6	12	both	both	DET
fcis-15810	6	13	channels	channel	NOUN
fcis-15810	6	14	and	and	CCONJ
fcis-15810	6	15	space	space	NOUN
fcis-15810	6	16	compression	compression	NOUN
fcis-15810	6	17	excitation	excitation	NOUN
fcis-15810	6	18	modules	module	NOUN
fcis-15810	6	19	,	,	PUNCT
fcis-15810	6	20	which	which	PRON
fcis-15810	6	21	can	can	AUX
fcis-15810	6	22	retain	retain	VERB
fcis-15810	6	23	comprehensive	comprehensive	ADJ
fcis-15810	6	24	spatial	spatial	ADJ
fcis-15810	6	25	information	information	NOUN
fcis-15810	6	26	at	at	ADP
fcis-15810	6	27	a	a	DET
fcis-15810	6	28	low	low	ADJ
fcis-15810	6	29	computational	computational	ADJ
fcis-15810	6	30	cost	cost	NOUN
fcis-15810	6	31	.	.	PUNCT
fcis-15810	7	1	then	then	ADV
fcis-15810	7	2	,	,	PUNCT
fcis-15810	7	3	the	the	DET
fcis-15810	7	4	structure	structure	NOUN
fcis-15810	7	5	is	be	AUX
fcis-15810	7	6	embedded	embed	VERB
fcis-15810	7	7	in	in	ADP
fcis-15810	7	8	a	a	DET
fcis-15810	7	9	three	three	NUM
fcis-15810	7	10	-	-	PUNCT
fcis-15810	7	11	dimensional	dimensional	ADJ
fcis-15810	7	12	coding	code	VERB
fcis-15810	7	13	network	network	NOUN
fcis-15810	7	14	to	to	PART
fcis-15810	7	15	realize	realize	VERB
fcis-15810	7	16	the	the	DET
fcis-15810	7	17	combination	combination	NOUN
fcis-15810	7	18	of	of	ADP
fcis-15810	7	19	two	two	NUM
fcis-15810	7	20	-	-	PUNCT
fcis-15810	7	21	dimensional	dimensional	ADJ
fcis-15810	7	22	convolutional	convolutional	ADJ
fcis-15810	7	23	neural	neural	ADJ
fcis-15810	7	24	network	network	NOUN
fcis-15810	7	25	and	and	CCONJ
fcis-15810	7	26	three	three	NUM
fcis-15810	7	27	-	-	PUNCT
fcis-15810	7	28	dimensional	dimensional	ADJ
fcis-15810	7	29	spatial	spatial	ADJ
fcis-15810	7	30	information	information	NOUN
fcis-15810	7	31	,	,	PUNCT
fcis-15810	7	32	so	so	SCONJ
fcis-15810	7	33	as	as	SCONJ
fcis-15810	7	34	to	to	PART
fcis-15810	7	35	predict	predict	VERB
fcis-15810	7	36	the	the	DET
fcis-15810	7	37	dvh	dvh	NOUN
fcis-15810	7	38	in	in	ADP
fcis-15810	7	39	the	the	DET
fcis-15810	7	40	complex	complex	ADJ
fcis-15810	7	41	distribution	distribution	NOUN
fcis-15810	7	42	scenario	scenario	NOUN
fcis-15810	7	43	of	of	ADP
fcis-15810	7	44	multi	multi	ADJ
fcis-15810	7	45	-	-	ADJ
fcis-15810	7	46	endangered	endangered	ADJ
fcis-15810	7	47	organs	organ	NOUN
fcis-15810	7	48	with	with	ADP
fcis-15810	7	49	higher	high	ADJ
fcis-15810	7	50	accuracy	accuracy	NOUN
fcis-15810	7	51	.	.	PUNCT
fcis-15810	8	1	keywords	keyword	NOUN
fcis-15810	8	2	:	:	PUNCT
fcis-15810	8	3	cervical	cervical	ADJ
fcis-15810	8	4	cancer	cancer	NOUN
fcis-15810	8	5	;	;	PUNCT
fcis-15810	8	6	deep	deep	ADJ
fcis-15810	8	7	learning	learning	NOUN
fcis-15810	8	8	;	;	PUNCT
fcis-15810	8	9	screening	screen	VERB
fcis-15810	8	10	;	;	PUNCT
fcis-15810	8	11	three	three	NUM
fcis-15810	8	12	-	-	PUNCT
fcis-15810	8	13	dimensional	dimensional	ADJ
fcis-15810	8	14	coding	code	VERB
fcis-15810	8	15	network	network	NOUN
fcis-15810	8	16	.	.	PUNCT
fcis-15810	9	1	1	1	X
fcis-15810	9	2	.	.	X
fcis-15810	9	3	introduction	introduction	NOUN
fcis-15810	9	4	the	the	DET
fcis-15810	9	5	application	application	NOUN
fcis-15810	9	6	of	of	ADP
fcis-15810	9	7	artificial	artificial	ADJ
fcis-15810	9	8	intelligence	intelligence	NOUN
fcis-15810	9	9	assisted	assist	VERB
fcis-15810	9	10	diagnosis	diagnosis	NOUN
fcis-15810	9	11	system	system	NOUN
fcis-15810	9	12	has	have	AUX
fcis-15810	9	13	improved	improve	VERB
fcis-15810	9	14	the	the	DET
fcis-15810	9	15	diagnosis	diagnosis	NOUN
fcis-15810	9	16	accuracy	accuracy	NOUN
fcis-15810	9	17	of	of	ADP
fcis-15810	9	18	cervical	cervical	ADJ
fcis-15810	9	19	cancer	cancer	NOUN
fcis-15810	9	20	related	relate	VERB
fcis-15810	9	21	diseases	disease	NOUN
fcis-15810	9	22	,	,	PUNCT
fcis-15810	9	23	reduced	reduce	VERB
fcis-15810	9	24	the	the	DET
fcis-15810	9	25	impact	impact	NOUN
fcis-15810	9	26	of	of	ADP
fcis-15810	9	27	subjective	subjective	ADJ
fcis-15810	9	28	factors	factor	NOUN
fcis-15810	9	29	and	and	CCONJ
fcis-15810	9	30	the	the	DET
fcis-15810	9	31	missed	miss	VERB
fcis-15810	9	32	diagnosis	diagnosis	NOUN
fcis-15810	9	33	rate	rate	NOUN
fcis-15810	9	34	of	of	ADP
fcis-15810	9	35	positive	positive	ADJ
fcis-15810	9	36	cases	case	NOUN
fcis-15810	9	37	,	,	PUNCT
fcis-15810	9	38	helped	help	VERB
fcis-15810	9	39	clinicians	clinician	NOUN
fcis-15810	9	40	save	save	VERB
fcis-15810	9	41	time	time	NOUN
fcis-15810	9	42	and	and	CCONJ
fcis-15810	9	43	energy	energy	NOUN
fcis-15810	9	44	in	in	ADP
fcis-15810	9	45	practical	practical	ADJ
fcis-15810	9	46	work	work	NOUN
fcis-15810	9	47	,	,	PUNCT
fcis-15810	9	48	and	and	CCONJ
fcis-15810	9	49	is	be	AUX
fcis-15810	9	50	expected	expect	VERB
fcis-15810	9	51	to	to	PART
fcis-15810	9	52	solve	solve	VERB
fcis-15810	9	53	the	the	DET
fcis-15810	9	54	problem	problem	NOUN
fcis-15810	9	55	of	of	ADP
fcis-15810	9	56	unequal	unequal	ADJ
fcis-15810	9	57	distribution	distribution	NOUN
fcis-15810	9	58	of	of	ADP
fcis-15810	9	59	medical	medical	ADJ
fcis-15810	9	60	resources	resource	NOUN
fcis-15810	9	61	in	in	ADP
fcis-15810	9	62	china	china	PROPN
fcis-15810	9	63	.	.	PUNCT
fcis-15810	10	1	based	base	VERB
fcis-15810	10	2	on	on	ADP
fcis-15810	10	3	domestic	domestic	ADJ
fcis-15810	10	4	and	and	CCONJ
fcis-15810	10	5	foreign	foreign	ADJ
fcis-15810	10	6	research	research	NOUN
fcis-15810	10	7	results	result	NOUN
fcis-15810	10	8	,	,	PUNCT
fcis-15810	10	9	this	this	DET
fcis-15810	10	10	paper	paper	NOUN
fcis-15810	10	11	will	will	AUX
fcis-15810	10	12	discuss	discuss	VERB
fcis-15810	10	13	the	the	DET
fcis-15810	10	14	application	application	NOUN
fcis-15810	10	15	of	of	ADP
fcis-15810	10	16	artificial	artificial	ADJ
fcis-15810	10	17	intelligence	intelligence	NOUN
fcis-15810	10	18	in	in	ADP
fcis-15810	10	19	cervical	cervical	ADJ
fcis-15810	10	20	cancer	cancer	NOUN
fcis-15810	10	21	screening	screening	NOUN
fcis-15810	10	22	and	and	CCONJ
fcis-15810	10	23	diagnosis	diagnosis	NOUN
fcis-15810	10	24	from	from	ADP
fcis-15810	10	25	the	the	DET
fcis-15810	10	26	four	four	NUM
fcis-15810	10	27	aspects	aspect	NOUN
fcis-15810	10	28	of	of	ADP
fcis-15810	10	29	hpv	hpv	NOUN
fcis-15810	10	30	detection	detection	NOUN
fcis-15810	10	31	,	,	PUNCT
fcis-15810	10	32	cytology	cytology	NOUN
fcis-15810	10	33	,	,	PUNCT
fcis-15810	10	34	colposcopy	colposcopy	NOUN
fcis-15810	10	35	,	,	PUNCT
fcis-15810	10	36	and	and	CCONJ
fcis-15810	10	37	imaging	imaging	NOUN
fcis-15810	10	38	examination	examination	NOUN
fcis-15810	10	39	,	,	PUNCT
fcis-15810	10	40	and	and	CCONJ
fcis-15810	10	41	propose	propose	VERB
fcis-15810	10	42	the	the	DET
fcis-15810	10	43	challenges	challenge	NOUN
fcis-15810	10	44	faced	face	VERB
fcis-15810	10	45	by	by	ADP
fcis-15810	10	46	artificial	artificial	ADJ
fcis-15810	10	47	intelligence	intelligence	NOUN
fcis-15810	10	48	in	in	ADP
fcis-15810	10	49	cervical	cervical	ADJ
fcis-15810	10	50	cancer	cancer	NOUN
fcis-15810	10	51	screening	screening	NOUN
fcis-15810	10	52	and	and	CCONJ
fcis-15810	10	53	diagnosis	diagnosis	NOUN
fcis-15810	10	54	in	in	ADP
fcis-15810	10	55	the	the	DET
fcis-15810	10	56	future	future	NOUN
fcis-15810	11	1	[	[	X
fcis-15810	11	2	1][2][3	1][2][3	NUM
fcis-15810	11	3	]	]	PUNCT
fcis-15810	11	4	.	.	PUNCT
fcis-15810	12	1	intensity	intensity	NOUN
fcis-15810	12	2	modulated	modulate	VERB
fcis-15810	12	3	radiotherapy	radiotherapy	NOUN
fcis-15810	12	4	(	(	PUNCT
fcis-15810	12	5	imrt	imrt	NOUN
fcis-15810	12	6	)	)	PUNCT
fcis-15810	12	7	is	be	AUX
fcis-15810	12	8	a	a	DET
fcis-15810	12	9	very	very	ADV
fcis-15810	12	10	accurate	accurate	ADJ
fcis-15810	12	11	radiotherapy	radiotherapy	NOUN
fcis-15810	12	12	technique	technique	NOUN
fcis-15810	12	13	,	,	PUNCT
fcis-15810	12	14	which	which	PRON
fcis-15810	12	15	can	can	AUX
fcis-15810	12	16	achieve	achieve	VERB
fcis-15810	12	17	accurate	accurate	ADJ
fcis-15810	12	18	dose	dose	NOUN
fcis-15810	12	19	irradiation	irradiation	NOUN
fcis-15810	12	20	of	of	ADP
fcis-15810	12	21	target	target	NOUN
fcis-15810	12	22	area	area	NOUN
fcis-15810	12	23	by	by	ADP
fcis-15810	12	24	adjusting	adjust	VERB
fcis-15810	12	25	the	the	DET
fcis-15810	12	26	intensity	intensity	NOUN
fcis-15810	12	27	of	of	ADP
fcis-15810	12	28	the	the	DET
fcis-15810	12	29	field	field	NOUN
fcis-15810	12	30	,	,	PUNCT
fcis-15810	12	31	so	so	CCONJ
fcis-15810	12	32	it	it	PRON
fcis-15810	12	33	is	be	AUX
fcis-15810	12	34	widely	widely	ADV
fcis-15810	12	35	used	use	VERB
fcis-15810	12	36	in	in	ADP
fcis-15810	12	37	the	the	DET
fcis-15810	12	38	treatment	treatment	NOUN
fcis-15810	12	39	of	of	ADP
fcis-15810	12	40	cervical	cervical	ADJ
fcis-15810	12	41	cancer	cancer	NOUN
fcis-15810	12	42	.	.	PUNCT
fcis-15810	13	1	but	but	CCONJ
fcis-15810	13	2	its	its	PRON
fcis-15810	13	3	formulation	formulation	NOUN
fcis-15810	13	4	is	be	AUX
fcis-15810	13	5	a	a	DET
fcis-15810	13	6	complex	complex	ADJ
fcis-15810	13	7	process	process	NOUN
fcis-15810	13	8	that	that	PRON
fcis-15810	13	9	requires	require	VERB
fcis-15810	13	10	precisely	precisely	ADV
fcis-15810	13	11	delivering	deliver	VERB
fcis-15810	13	12	high	high	ADJ
fcis-15810	13	13	doses	dose	NOUN
fcis-15810	13	14	of	of	ADP
fcis-15810	13	15	radiation	radiation	NOUN
fcis-15810	13	16	in	in	ADP
fcis-15810	13	17	three	three	NUM
fcis-15810	13	18	dimensions	dimension	NOUN
fcis-15810	13	19	while	while	SCONJ
fcis-15810	13	20	minimizing	minimize	VERB
fcis-15810	13	21	damage	damage	NOUN
fcis-15810	13	22	to	to	ADP
fcis-15810	13	23	surrounding	surround	VERB
fcis-15810	13	24	healthy	healthy	ADJ
fcis-15810	13	25	tissue	tissue	NOUN
fcis-15810	13	26	.	.	PUNCT
fcis-15810	14	1	based	base	VERB
fcis-15810	14	2	on	on	ADP
fcis-15810	14	3	this	this	PRON
fcis-15810	14	4	,	,	PUNCT
fcis-15810	14	5	we	we	PRON
fcis-15810	14	6	propose	propose	VERB
fcis-15810	14	7	the	the	DET
fcis-15810	14	8	dose	dose	NOUN
fcis-15810	14	9	volume	volume	NOUN
fcis-15810	14	10	histogram	histogram	NOUN
fcis-15810	14	11	as	as	ADP
fcis-15810	14	12	an	an	DET
fcis-15810	14	13	important	important	ADJ
fcis-15810	14	14	evaluation	evaluation	NOUN
fcis-15810	14	15	tool	tool	NOUN
fcis-15810	14	16	,	,	PUNCT
fcis-15810	14	17	which	which	PRON
fcis-15810	14	18	can	can	AUX
fcis-15810	14	19	provide	provide	VERB
fcis-15810	14	20	radiation	radiation	NOUN
fcis-15810	14	21	treatment	treatment	NOUN
fcis-15810	14	22	ratio	ratio	NOUN
fcis-15810	14	23	information	information	NOUN
fcis-15810	14	24	,	,	PUNCT
fcis-15810	14	25	so	so	SCONJ
fcis-15810	14	26	that	that	SCONJ
fcis-15810	14	27	physicians	physician	NOUN
fcis-15810	14	28	can	can	AUX
fcis-15810	14	29	quickly	quickly	ADV
fcis-15810	14	30	develop	develop	VERB
fcis-15810	14	31	high	high	ADJ
fcis-15810	14	32	quality	quality	NOUN
fcis-15810	14	33	radiotherapy	radiotherapy	NOUN
fcis-15810	14	34	plan[4	plan[4	PRON
fcis-15810	14	35	]	]	PUNCT
fcis-15810	14	36	.	.	PUNCT
fcis-15810	15	1	however	however	ADV
fcis-15810	15	2	,	,	PUNCT
fcis-15810	15	3	the	the	DET
fcis-15810	15	4	traditional	traditional	ADJ
fcis-15810	15	5	dvh	dvh	NOUN
fcis-15810	15	6	prediction	prediction	NOUN
fcis-15810	15	7	model	model	NOUN
fcis-15810	15	8	can	can	AUX
fcis-15810	15	9	only	only	ADV
fcis-15810	15	10	describe	describe	VERB
fcis-15810	15	11	the	the	DET
fcis-15810	15	12	spatial	spatial	ADJ
fcis-15810	15	13	geometric	geometric	ADJ
fcis-15810	15	14	relationship	relationship	NOUN
fcis-15810	15	15	between	between	ADP
fcis-15810	15	16	a	a	DET
fcis-15810	15	17	single	single	ADJ
fcis-15810	15	18	organ	organ	NOUN
fcis-15810	15	19	at	at	ADP
fcis-15810	15	20	risk	risk	NOUN
fcis-15810	15	21	and	and	CCONJ
fcis-15810	15	22	the	the	DET
fcis-15810	15	23	target	target	NOUN
fcis-15810	15	24	area	area	NOUN
fcis-15810	15	25	,	,	PUNCT
fcis-15810	15	26	and	and	CCONJ
fcis-15810	15	27	it	it	PRON
fcis-15810	15	28	is	be	AUX
fcis-15810	15	29	difficult	difficult	ADJ
fcis-15810	15	30	to	to	PART
fcis-15810	15	31	extract	extract	VERB
fcis-15810	15	32	comprehensive	comprehensive	ADJ
fcis-15810	15	33	spatial	spatial	ADJ
fcis-15810	15	34	geometric	geometric	ADJ
fcis-15810	15	35	information	information	NOUN
fcis-15810	15	36	of	of	ADP
fcis-15810	15	37	patients	patient	NOUN
fcis-15810	15	38	,	,	PUNCT
fcis-15810	15	39	thus	thus	ADV
fcis-15810	15	40	affecting	affect	VERB
fcis-15810	15	41	the	the	DET
fcis-15810	15	42	accuracy	accuracy	NOUN
fcis-15810	15	43	of	of	ADP
fcis-15810	15	44	prediction	prediction	NOUN
fcis-15810	15	45	results	result	NOUN
fcis-15810	15	46	.	.	PUNCT
fcis-15810	16	1	in	in	ADP
fcis-15810	16	2	2019	2019	NUM
fcis-15810	16	3	,	,	PUNCT
fcis-15810	16	4	dan	dan	PROPN
fcis-15810	16	5	nguyen	nguyen	PROPN
fcis-15810	16	6	et	et	PROPN
fcis-15810	16	7	al	al	PROPN
fcis-15810	16	8	.	.	PROPN
fcis-15810	16	9	proposed	propose	VERB
fcis-15810	16	10	that	that	SCONJ
fcis-15810	16	11	3d	3d	NUM
fcis-15810	16	12	-	-	PUNCT
fcis-15810	16	13	unet	unet	NOUN
fcis-15810	16	14	convolutional	convolutional	ADJ
fcis-15810	16	15	neural	neural	ADJ
fcis-15810	16	16	networks	network	NOUN
fcis-15810	16	17	could	could	AUX
fcis-15810	16	18	be	be	AUX
fcis-15810	16	19	used	use	VERB
fcis-15810	16	20	to	to	PART
fcis-15810	16	21	achieve	achieve	VERB
fcis-15810	16	22	voxel	voxel	NOUN
fcis-15810	16	23	-	-	PUNCT
fcis-15810	16	24	level	level	NOUN
fcis-15810	16	25	dose	dose	NOUN
fcis-15810	16	26	prediction	prediction	NOUN
fcis-15810	16	27	.	.	PUNCT
fcis-15810	17	1	however	however	ADV
fcis-15810	17	2	,	,	PUNCT
fcis-15810	17	3	it	it	PRON
fcis-15810	17	4	can	can	AUX
fcis-15810	17	5	only	only	ADV
fcis-15810	17	6	predict	predict	VERB
fcis-15810	17	7	the	the	DET
fcis-15810	17	8	dvh	dvh	NOUN
fcis-15810	17	9	curve	curve	NOUN
fcis-15810	17	10	of	of	ADP
fcis-15810	17	11	one	one	NUM
fcis-15810	17	12	organ	organ	NOUN
fcis-15810	17	13	at	at	ADP
fcis-15810	17	14	risk	risk	NOUN
fcis-15810	17	15	,	,	PUNCT
fcis-15810	17	16	which	which	PRON
fcis-15810	17	17	is	be	AUX
fcis-15810	17	18	not	not	PART
fcis-15810	17	19	efficient	efficient	ADJ
fcis-15810	17	20	[	[	X
fcis-15810	17	21	5	5	NUM
fcis-15810	17	22	]	]	PUNCT
fcis-15810	17	23	.	.	PUNCT
fcis-15810	18	1	in	in	ADP
fcis-15810	18	2	recent	recent	ADJ
fcis-15810	18	3	years	year	NOUN
fcis-15810	18	4	,	,	PUNCT
fcis-15810	18	5	artificial	artificial	ADJ
fcis-15810	18	6	intelligence	intelligence	NOUN
fcis-15810	18	7	(	(	PUNCT
fcis-15810	18	8	ai	ai	PROPN
fcis-15810	18	9	)	)	PUNCT
fcis-15810	18	10	,	,	PUNCT
fcis-15810	18	11	relying	rely	VERB
fcis-15810	18	12	on	on	ADP
fcis-15810	18	13	its	its	PRON
fcis-15810	18	14	strong	strong	ADJ
fcis-15810	18	15	learning	learning	NOUN
fcis-15810	18	16	ability	ability	NOUN
fcis-15810	18	17	,	,	PUNCT
fcis-15810	18	18	has	have	AUX
fcis-15810	18	19	been	be	AUX
fcis-15810	18	20	gradually	gradually	ADV
fcis-15810	18	21	applied	apply	VERB
fcis-15810	18	22	to	to	ADP
fcis-15810	18	23	the	the	DET
fcis-15810	18	24	field	field	NOUN
fcis-15810	18	25	of	of	ADP
fcis-15810	18	26	clinical	clinical	ADJ
fcis-15810	18	27	medicine	medicine	NOUN
fcis-15810	18	28	,	,	PUNCT
fcis-15810	18	29	especially	especially	ADV
fcis-15810	18	30	in	in	ADP
fcis-15810	18	31	the	the	DET
fcis-15810	18	32	field	field	NOUN
fcis-15810	18	33	of	of	ADP
fcis-15810	18	34	disease	disease	NOUN
fcis-15810	18	35	diagnosis	diagnosis	NOUN
fcis-15810	18	36	,	,	PUNCT
fcis-15810	18	37	ai	ai	AUX
fcis-15810	18	38	has	have	AUX
fcis-15810	18	39	shown	show	VERB
fcis-15810	18	40	strong	strong	ADJ
fcis-15810	18	41	potential	potential	NOUN
fcis-15810	18	42	.	.	PUNCT
fcis-15810	19	1	at	at	ADP
fcis-15810	19	2	present	present	ADJ
fcis-15810	19	3	,	,	PUNCT
fcis-15810	19	4	a	a	DET
fcis-15810	19	5	number	number	NOUN
fcis-15810	19	6	of	of	ADP
fcis-15810	19	7	studies	study	NOUN
fcis-15810	19	8	have	have	AUX
fcis-15810	19	9	applied	apply	VERB
fcis-15810	19	10	ai	ai	VERB
fcis-15810	19	11	to	to	ADP
fcis-15810	19	12	the	the	DET
fcis-15810	19	13	screening	screening	NOUN
fcis-15810	19	14	and	and	CCONJ
fcis-15810	19	15	diagnosis	diagnosis	NOUN
fcis-15810	19	16	of	of	ADP
fcis-15810	19	17	cervical	cervical	ADJ
fcis-15810	19	18	cancer	cancer	NOUN
fcis-15810	19	19	and	and	CCONJ
fcis-15810	19	20	precancerous	precancerous	ADJ
fcis-15810	19	21	lesions	lesion	NOUN
fcis-15810	19	22	,	,	PUNCT
fcis-15810	19	23	aiming	aim	VERB
fcis-15810	19	24	to	to	PART
fcis-15810	19	25	improve	improve	VERB
fcis-15810	19	26	the	the	DET
fcis-15810	19	27	accuracy	accuracy	NOUN
fcis-15810	19	28	of	of	ADP
fcis-15810	19	29	disease	disease	NOUN
fcis-15810	19	30	diagnosis	diagnosis	NOUN
fcis-15810	19	31	,	,	PUNCT
fcis-15810	19	32	reduce	reduce	VERB
fcis-15810	19	33	the	the	DET
fcis-15810	19	34	rate	rate	NOUN
fcis-15810	19	35	of	of	ADP
fcis-15810	19	36	missed	miss	VERB
fcis-15810	19	37	diagnosis	diagnosis	NOUN
fcis-15810	19	38	,	,	PUNCT
fcis-15810	19	39	and	and	CCONJ
fcis-15810	19	40	save	save	VERB
fcis-15810	19	41	more	more	ADJ
fcis-15810	19	42	time	time	NOUN
fcis-15810	19	43	and	and	CCONJ
fcis-15810	19	44	precision	precision	NOUN
fcis-15810	19	45	for	for	ADP
fcis-15810	19	46	clinicians	clinician	NOUN
fcis-15810	19	47	force	force	NOUN
fcis-15810	19	48	.	.	PUNCT
fcis-15810	20	1	this	this	DET
fcis-15810	20	2	paper	paper	NOUN
fcis-15810	20	3	will	will	AUX
fcis-15810	20	4	discuss	discuss	VERB
fcis-15810	20	5	the	the	DET
fcis-15810	20	6	application	application	NOUN
fcis-15810	20	7	of	of	ADP
fcis-15810	20	8	ai	ai	NOUN
fcis-15810	20	9	in	in	ADP
fcis-15810	20	10	cervical	cervical	ADJ
fcis-15810	20	11	cancer	cancer	NOUN
fcis-15810	20	12	screening	screening	NOUN
fcis-15810	20	13	and	and	CCONJ
fcis-15810	20	14	diagnosis	diagnosis	NOUN
fcis-15810	20	15	from	from	ADP
fcis-15810	20	16	four	four	NUM
fcis-15810	20	17	aspects	aspect	NOUN
fcis-15810	20	18	:	:	PUNCT
fcis-15810	20	19	hpv	hpv	PROPN
fcis-15810	20	20	detection	detection	NOUN
fcis-15810	20	21	,	,	PUNCT
fcis-15810	20	22	cytology	cytology	NOUN
fcis-15810	20	23	,	,	PUNCT
fcis-15810	20	24	colposcopy	colposcopy	NOUN
fcis-15810	20	25	,	,	PUNCT
fcis-15810	20	26	and	and	CCONJ
fcis-15810	20	27	imaging	imaging	NOUN
fcis-15810	20	28	.	.	PUNCT
fcis-15810	21	1	2	2	X
fcis-15810	21	2	.	.	X
fcis-15810	21	3	related	relate	VERB
fcis-15810	21	4	work	work	NOUN
fcis-15810	21	5	among	among	ADP
fcis-15810	21	6	women	woman	NOUN
fcis-15810	21	7	in	in	ADP
fcis-15810	21	8	developing	develop	VERB
fcis-15810	21	9	countries	country	NOUN
fcis-15810	21	10	,	,	PUNCT
fcis-15810	21	11	cervical	cervical	ADJ
fcis-15810	21	12	cancer	cancer	NOUN
fcis-15810	21	13	is	be	AUX
fcis-15810	21	14	the	the	DET
fcis-15810	21	15	second	second	ADJ
fcis-15810	21	16	most	most	ADV
fcis-15810	21	17	common	common	ADJ
fcis-15810	21	18	cancer	cancer	NOUN
fcis-15810	21	19	(	(	PUNCT
fcis-15810	21	20	15.7	15.7	NUM
fcis-15810	21	21	per	per	ADP
fcis-15810	21	22	100,000	100,000	NUM
fcis-15810	21	23	women	woman	NOUN
fcis-15810	21	24	)	)	PUNCT
fcis-15810	21	25	and	and	CCONJ
fcis-15810	21	26	the	the	DET
fcis-15810	21	27	third	third	ADJ
fcis-15810	21	28	most	most	ADV
fcis-15810	21	29	common	common	ADJ
fcis-15810	21	30	cause	cause	NOUN
fcis-15810	21	31	of	of	ADP
fcis-15810	21	32	cancer	cancer	NOUN
fcis-15810	21	33	death	death	NOUN
fcis-15810	21	34	(	(	PUNCT
fcis-15810	21	35	8.3	8.3	NUM
fcis-15810	21	36	per	per	ADP
fcis-15810	21	37	100,000	100,000	NUM
fcis-15810	21	38	women	woman	NOUN
fcis-15810	21	39	)	)	PUNCT
fcis-15810	21	40	.	.	PUNCT
fcis-15810	22	1	brachytherapy	brachytherapy	NOUN
fcis-15810	22	2	(	(	PUNCT
fcis-15810	22	3	bt	bt	NOUN
fcis-15810	22	4	)	)	PUNCT
fcis-15810	22	5	is	be	AUX
fcis-15810	22	6	a	a	DET
fcis-15810	22	7	necessary	necessary	ADJ
fcis-15810	22	8	part	part	NOUN
fcis-15810	22	9	of	of	ADP
fcis-15810	22	10	local	local	ADJ
fcis-15810	22	11	advanced	advanced	ADJ
fcis-15810	22	12	cervical	cervical	ADJ
fcis-15810	22	13	cancer	cancer	NOUN
fcis-15810	22	14	treatment	treatment	NOUN
fcis-15810	22	15	,	,	PUNCT
fcis-15810	22	16	in	in	ADP
fcis-15810	22	17	the	the	DET
fcis-15810	22	18	cervical	cervical	ADJ
fcis-15810	22	19	lesions	lesion	NOUN
fcis-15810	22	20	of	of	ADP
fcis-15810	22	21	higher	high	ADJ
fcis-15810	22	22	doses	dose	NOUN
fcis-15810	22	23	of	of	ADP
fcis-15810	22	24	radiation	radiation	NOUN
fcis-15810	22	25	at	at	ADP
fcis-15810	22	26	the	the	DET
fcis-15810	22	27	same	same	ADJ
fcis-15810	22	28	time	time	NOUN
fcis-15810	22	29	,	,	PUNCT
fcis-15810	22	30	will	will	AUX
fcis-15810	22	31	also	also	ADV
fcis-15810	22	32	cause	cause	VERB
fcis-15810	22	33	some	some	DET
fcis-15810	22	34	damage	damage	NOUN
fcis-15810	22	35	to	to	ADP
fcis-15810	22	36	the	the	DET
fcis-15810	22	37	surrounding	surround	VERB
fcis-15810	22	38	normal	normal	ADJ
fcis-15810	22	39	tissue	tissue	NOUN
fcis-15810	22	40	.	.	PUNCT
fcis-15810	23	1	compared	compare	VERB
fcis-15810	23	2	to	to	ADP
fcis-15810	23	3	conventional	conventional	ADJ
fcis-15810	23	4	brachytherapy	brachytherapy	NOUN
fcis-15810	23	5	,	,	PUNCT
fcis-15810	23	6	image	image	NOUN
fcis-15810	23	7	-	-	PUNCT
fcis-15810	23	8	guided	guide	VERB
fcis-15810	23	9	brachytherapy	brachytherapy	NOUN
fcis-15810	23	10	(	(	PUNCT
fcis-15810	23	11	igbt	igbt	PROPN
fcis-15810	23	12	)	)	PUNCT
fcis-15810	23	13	can	can	AUX
fcis-15810	23	14	increase	increase	VERB
fcis-15810	23	15	the	the	DET
fcis-15810	23	16	dose	dose	NOUN
fcis-15810	23	17	of	of	ADP
fcis-15810	23	18	the	the	DET
fcis-15810	23	19	target	target	NOUN
fcis-15810	23	20	area	area	NOUN
fcis-15810	23	21	more	more	ADV
fcis-15810	23	22	effectively	effectively	ADV
fcis-15810	23	23	,	,	PUNCT
fcis-15810	23	24	while	while	SCONJ
fcis-15810	23	25	accurately	accurately	ADV
fcis-15810	23	26	assessing	assess	VERB
fcis-15810	23	27	the	the	DET
fcis-15810	23	28	dose	dose	NOUN
fcis-15810	23	29	received	receive	VERB
fcis-15810	23	30	by	by	ADP
fcis-15810	23	31	the	the	DET
fcis-15810	23	32	surrounding	surround	VERB
fcis-15810	23	33	tissue	tissue	NOUN
fcis-15810	24	1	[	[	X
fcis-15810	24	2	6	6	NUM
fcis-15810	24	3	-	-	SYM
fcis-15810	24	4	8	8	NUM
fcis-15810	24	5	]	]	PUNCT
fcis-15810	24	6	.	.	PUNCT
fcis-15810	25	1	several	several	ADJ
fcis-15810	25	2	observational	observational	ADJ
fcis-15810	25	3	studies	study	NOUN
fcis-15810	25	4	suggest	suggest	VERB
fcis-15810	25	5	that	that	SCONJ
fcis-15810	25	6	igbt	igbt	PROPN
fcis-15810	25	7	is	be	AUX
fcis-15810	25	8	superior	superior	ADJ
fcis-15810	25	9	to	to	ADP
fcis-15810	25	10	conventional	conventional	ADJ
fcis-15810	25	11	brachytherapy	brachytherapy	NOUN
fcis-15810	25	12	in	in	ADP
fcis-15810	25	13	terms	term	NOUN
fcis-15810	25	14	of	of	ADP
fcis-15810	25	15	disease	disease	NOUN
fcis-15810	25	16	control	control	NOUN
fcis-15810	25	17	rate	rate	NOUN
fcis-15810	25	18	,	,	PUNCT
fcis-15810	25	19	overall	overall	ADJ
fcis-15810	25	20	survival	survival	NOUN
fcis-15810	25	21	,	,	PUNCT
fcis-15810	25	22	and	and	CCONJ
fcis-15810	25	23	complication	complication	NOUN
fcis-15810	25	24	control	control	NOUN
fcis-15810	25	25	.	.	PUNCT
fcis-15810	26	1	although	although	SCONJ
fcis-15810	26	2	igbts	igbt	NOUN
fcis-15810	26	3	based	base	VERB
fcis-15810	26	4	on	on	ADP
fcis-15810	26	5	magnetic	magnetic	ADJ
fcis-15810	26	6	resonance	resonance	NOUN
fcis-15810	26	7	imaging	imaging	NOUN
fcis-15810	26	8	(	(	PUNCT
fcis-15810	26	9	mri	mri	NOUN
fcis-15810	26	10	)	)	PUNCT
fcis-15810	26	11	are	be	AUX
fcis-15810	26	12	the	the	DET
fcis-15810	26	13	gold	gold	ADJ
fcis-15810	26	14	standard	standard	NOUN
fcis-15810	26	15	for	for	ADP
fcis-15810	26	16	cervical	cervical	ADJ
fcis-15810	26	17	62	62	NUM
fcis-15810	26	18	cancer	cancer	NOUN
fcis-15810	26	19	brachytherapy	brachytherapy	NOUN
fcis-15810	26	20	,	,	PUNCT
fcis-15810	26	21	ct	ct	NUM
fcis-15810	26	22	images	image	NOUN
fcis-15810	26	23	provide	provide	VERB
fcis-15810	26	24	information	information	NOUN
fcis-15810	26	25	on	on	ADP
fcis-15810	26	26	the	the	DET
fcis-15810	26	27	location	location	NOUN
fcis-15810	26	28	of	of	ADP
fcis-15810	26	29	the	the	DET
fcis-15810	26	30	applicator	applicator	NOUN
fcis-15810	26	31	and	and	CCONJ
fcis-15810	26	32	can	can	AUX
fcis-15810	26	33	be	be	AUX
fcis-15810	26	34	used	use	VERB
fcis-15810	26	35	to	to	PART
fcis-15810	26	36	map	map	VERB
fcis-15810	26	37	the	the	DET
fcis-15810	26	38	organ	organ	NOUN
fcis-15810	26	39	at	at	ADP
fcis-15810	26	40	risk	risk	NOUN
fcis-15810	26	41	(	(	PUNCT
fcis-15810	26	42	oar	oar	PROPN
fcis-15810	26	43	)	)	PUNCT
fcis-15810	26	44	.	.	PUNCT
fcis-15810	27	1	it	it	PRON
fcis-15810	27	2	can	can	AUX
fcis-15810	27	3	replace	replace	VERB
fcis-15810	27	4	mrii7	mrii7	NOUN
fcis-15810	27	5	to	to	ADP
fcis-15810	27	6	some	some	DET
fcis-15810	27	7	extent	extent	NOUN
fcis-15810	27	8	.	.	PUNCT
fcis-15810	28	1	the	the	DET
fcis-15810	28	2	deformation	deformation	NOUN
fcis-15810	28	3	caused	cause	VERB
fcis-15810	28	4	by	by	ADP
fcis-15810	28	5	the	the	DET
fcis-15810	28	6	implantation	implantation	NOUN
fcis-15810	28	7	of	of	ADP
fcis-15810	28	8	the	the	DET
fcis-15810	28	9	vaginal	vaginal	ADJ
fcis-15810	28	10	applicator	applicator	NOUN
fcis-15810	28	11	makes	make	VERB
fcis-15810	28	12	it	it	PRON
fcis-15810	28	13	impossible	impossible	ADJ
fcis-15810	28	14	to	to	PART
fcis-15810	28	15	register	register	VERB
fcis-15810	28	16	with	with	ADP
fcis-15810	28	17	pre	pre	ADJ
fcis-15810	28	18	-	-	ADJ
fcis-15810	28	19	treatment	treatment	ADJ
fcis-15810	28	20	mri	mri	NOUN
fcis-15810	28	21	.	.	PUNCT
fcis-15810	29	1	in	in	ADP
fcis-15810	29	2	addition	addition	NOUN
fcis-15810	29	3	,	,	PUNCT
fcis-15810	29	4	mri	mri	NOUN
fcis-15810	29	5	-	-	PUNCT
fcis-15810	29	6	based	base	VERB
fcis-15810	29	7	igbts	igbt	NOUN
fcis-15810	29	8	have	have	VERB
fcis-15810	29	9	obstacles	obstacle	NOUN
fcis-15810	29	10	such	such	ADJ
fcis-15810	29	11	as	as	ADP
fcis-15810	29	12	limited	limited	ADJ
fcis-15810	29	13	application	application	NOUN
fcis-15810	29	14	range	range	NOUN
fcis-15810	29	15	,	,	PUNCT
fcis-15810	29	16	high	high	ADJ
fcis-15810	29	17	cost	cost	NOUN
fcis-15810	29	18	and	and	CCONJ
fcis-15810	29	19	long	long	ADJ
fcis-15810	29	20	scanning	scanning	NOUN
fcis-15810	29	21	time	time	NOUN
fcis-15810	29	22	,	,	PUNCT
fcis-15810	29	23	resulting	result	VERB
fcis-15810	29	24	in	in	ADP
fcis-15810	29	25	wider	wide	ADJ
fcis-15810	29	26	popularity	popularity	NOUN
fcis-15810	29	27	of	of	ADP
fcis-15810	29	28	ct	ct	NUM
fcis-15810	29	29	simulators	simulator	NOUN
fcis-15810	29	30	and	and	CCONJ
fcis-15810	29	31	easier	easy	ADJ
fcis-15810	29	32	implementation	implementation	NOUN
fcis-15810	29	33	of	of	ADP
fcis-15810	29	34	ct	ct	NOUN
fcis-15810	29	35	-	-	PUNCT
fcis-15810	29	36	based	base	VERB
fcis-15810	29	37	igbts	igbt	NOUN
fcis-15810	29	38	.	.	PUNCT
fcis-15810	30	1	the	the	DET
fcis-15810	30	2	extent	extent	NOUN
fcis-15810	30	3	of	of	ADP
fcis-15810	30	4	tumor	tumor	NOUN
fcis-15810	30	5	invasion	invasion	NOUN
fcis-15810	30	6	can	can	AUX
fcis-15810	30	7	be	be	AUX
fcis-15810	30	8	determined	determine	VERB
fcis-15810	30	9	by	by	ADP
fcis-15810	30	10	gynecologic	gynecologic	ADJ
fcis-15810	30	11	mri	mri	NOUN
fcis-15810	30	12	examination	examination	NOUN
fcis-15810	30	13	before	before	ADP
fcis-15810	30	14	or	or	CCONJ
fcis-15810	30	15	during	during	ADP
fcis-15810	30	16	treatment	treatment	NOUN
fcis-15810	30	17	,	,	PUNCT
fcis-15810	30	18	which	which	PRON
fcis-15810	30	19	makes	make	VERB
fcis-15810	30	20	ct	ct	NOUN
fcis-15810	30	21	-	-	PUNCT
fcis-15810	30	22	based	base	VERB
fcis-15810	30	23	igbt	igbt	PROPN
fcis-15810	30	24	more	more	ADV
fcis-15810	30	25	accurate	accurate	ADJ
fcis-15810	30	26	and	and	CCONJ
fcis-15810	30	27	can	can	AUX
fcis-15810	30	28	be	be	AUX
fcis-15810	30	29	used	use	VERB
fcis-15810	30	30	as	as	ADP
fcis-15810	30	31	an	an	DET
fcis-15810	30	32	alternative	alternative	NOUN
fcis-15810	30	33	to	to	ADP
fcis-15810	30	34	mri	mri	NOUN
fcis-15810	30	35	-	-	PUNCT
fcis-15810	30	36	based	base	VERB
fcis-15810	30	37	igbt[9	igbt[9	PROPN
fcis-15810	30	38	]	]	PUNCT
fcis-15810	30	39	.	.	PUNCT
fcis-15810	31	1	in	in	ADP
fcis-15810	31	2	recent	recent	ADJ
fcis-15810	31	3	years	year	NOUN
fcis-15810	31	4	,	,	PUNCT
fcis-15810	31	5	one	one	NUM
fcis-15810	31	6	of	of	ADP
fcis-15810	31	7	deep	deep	ADJ
fcis-15810	31	8	learning	learning	NOUN
fcis-15810	31	9	algorithm	algorithm	NOUN
fcis-15810	31	10	of	of	ADP
fcis-15810	31	11	convolution	convolution	NOUN
fcis-15810	31	12	neural	neural	ADJ
fcis-15810	31	13	network	network	NOUN
fcis-15810	31	14	(	(	PUNCT
fcis-15810	31	15	convolutionalneuralnetwork	convolutionalneuralnetwork	PROPN
fcis-15810	31	16	,	,	PUNCT
fcis-15810	31	17	cnn	cnn	PROPN
fcis-15810	31	18	)	)	PUNCT
fcis-15810	31	19	has	have	AUX
fcis-15810	31	20	been	be	AUX
fcis-15810	31	21	successfully	successfully	ADV
fcis-15810	31	22	applied	apply	VERB
fcis-15810	31	23	to	to	ADP
fcis-15810	31	24	the	the	DET
fcis-15810	31	25	automatic	automatic	ADJ
fcis-15810	31	26	segmentation	segmentation	NOUN
fcis-15810	31	27	of	of	ADP
fcis-15810	31	28	medical	medical	ADJ
fcis-15810	31	29	image	image	NOUN
fcis-15810	31	30	.	.	PUNCT
fcis-15810	32	1	in	in	ADP
fcis-15810	32	2	the	the	DET
fcis-15810	32	3	field	field	NOUN
fcis-15810	32	4	of	of	ADP
fcis-15810	32	5	radiation	radiation	NOUN
fcis-15810	32	6	therapy	therapy	NOUN
fcis-15810	32	7	,	,	PUNCT
fcis-15810	32	8	various	various	ADJ
fcis-15810	32	9	cnn	cnn	PROPN
fcis-15810	32	10	models	model	NOUN
fcis-15810	32	11	have	have	AUX
fcis-15810	32	12	achieved	achieve	VERB
fcis-15810	32	13	automatic	automatic	ADJ
fcis-15810	32	14	mapping	mapping	NOUN
fcis-15810	32	15	of	of	ADP
fcis-15810	32	16	ctv	ctv	PROPN
fcis-15810	32	17	or	or	CCONJ
fcis-15810	32	18	oars	oar	NOUN
fcis-15810	32	19	for	for	ADP
fcis-15810	32	20	brain	brain	NOUN
fcis-15810	32	21	tumors	tumor	NOUN
fcis-15810	32	22	211	211	NUM
fcis-15810	32	23	,	,	PUNCT
fcis-15810	32	24	head	head	NOUN
fcis-15810	32	25	and	and	CCONJ
fcis-15810	32	26	neck	neck	NOUN
fcis-15810	32	27	tumors	tumor	NOUN
fcis-15810	32	28	125.2	125.2	NUM
fcis-15810	32	29	,	,	PUNCT
fcis-15810	32	30	esophageal	esophageal	ADJ
fcis-15810	32	31	cancer	cancer	NOUN
fcis-15810	32	32	127	127	NUM
fcis-15810	32	33	,	,	PUNCT
fcis-15810	32	34	rectal	rectal	ADJ
fcis-15810	32	35	cancer	cancer	NOUN
fcis-15810	32	36	28.29	28.29	NUM
fcis-15810	32	37	,	,	PUNCT
fcis-15810	32	38	etc	etc	X
fcis-15810	32	39	.	.	X
fcis-15810	32	40	although	although	SCONJ
fcis-15810	32	41	some	some	DET
fcis-15810	32	42	studies	study	NOUN
fcis-15810	32	43	have	have	AUX
fcis-15810	32	44	explored	explore	VERB
fcis-15810	32	45	the	the	DET
fcis-15810	32	46	performance	performance	NOUN
fcis-15810	32	47	of	of	ADP
fcis-15810	32	48	the	the	DET
fcis-15810	32	49	cnn	cnn	PROPN
fcis-15810	32	50	model	model	NOUN
fcis-15810	32	51	for	for	ADP
fcis-15810	32	52	auto	auto	NOUN
fcis-15810	32	53	-	-	PUNCT
fcis-15810	32	54	mapping	mapping	NOUN
fcis-15810	32	55	in	in	ADP
fcis-15810	32	56	locally	locally	ADV
fcis-15810	32	57	advanced	advanced	ADJ
fcis-15810	32	58	cervical	cervical	ADJ
fcis-15810	32	59	cancer	cancer	NOUN
fcis-15810	32	60	,	,	PUNCT
fcis-15810	32	61	most	most	ADJ
fcis-15810	32	62	of	of	ADP
fcis-15810	32	63	them	they	PRON
fcis-15810	32	64	focused	focus	VERB
fcis-15810	32	65	on	on	ADP
fcis-15810	32	66	external	external	ADJ
fcis-15810	32	67	exposure	exposure	NOUN
fcis-15810	32	68	.	.	PUNCT
fcis-15810	33	1	three	three	NUM
fcis-15810	33	2	-	-	PUNCT
fcis-15810	33	3	dimensional	dimensional	ADJ
fcis-15810	33	4	stereoscopic	stereoscopic	NOUN
fcis-15810	33	5	encoding	encoding	NOUN
fcis-15810	33	6	network	network	NOUN
fcis-15810	33	7	(	(	PUNCT
fcis-15810	33	8	tsen	tsen	PROPN
fcis-15810	33	9	)	)	PUNCT
fcis-15810	33	10	model	model	NOUN
fcis-15810	33	11	,	,	PUNCT
fcis-15810	33	12	which	which	PRON
fcis-15810	33	13	combines	combine	VERB
fcis-15810	33	14	three	three	NUM
fcis-15810	33	15	-	-	PUNCT
fcis-15810	33	16	dimensional	dimensional	ADJ
fcis-15810	33	17	spatial	spatial	ADJ
fcis-15810	33	18	information	information	NOUN
fcis-15810	33	19	with	with	ADP
fcis-15810	33	20	two	two	NUM
fcis-15810	33	21	-	-	PUNCT
fcis-15810	33	22	dimensional	dimensional	ADJ
fcis-15810	33	23	convolutional	convolutional	ADJ
fcis-15810	33	24	neural	neural	ADJ
fcis-15810	33	25	networks	network	NOUN
fcis-15810	33	26	,	,	PUNCT
fcis-15810	33	27	from	from	ADP
fcis-15810	33	28	it	it	PRON
fcis-15810	33	29	can	can	AUX
fcis-15810	33	30	effectively	effectively	ADV
fcis-15810	33	31	predict	predict	VERB
fcis-15810	33	32	dvh	dvh	NOUN
fcis-15810	33	33	of	of	ADP
fcis-15810	33	34	all	all	DET
fcis-15810	33	35	organs	organ	NOUN
fcis-15810	33	36	at	at	ADP
fcis-15810	33	37	risk	risk	NOUN
fcis-15810	33	38	in	in	ADP
fcis-15810	33	39	cervical	cervical	ADJ
fcis-15810	33	40	cancer	cancer	NOUN
fcis-15810	33	41	radiotherapy	radiotherapy	NOUN
fcis-15810	33	42	program[10	program[10	PROPN
fcis-15810	33	43	-	-	PUNCT
fcis-15810	33	44	12	12	NUM
fcis-15810	33	45	]	]	PUNCT
fcis-15810	33	46	.	.	PUNCT
fcis-15810	34	1	in	in	ADP
fcis-15810	34	2	this	this	DET
fcis-15810	34	3	model	model	NOUN
fcis-15810	34	4	,	,	PUNCT
fcis-15810	34	5	in	in	ADP
fcis-15810	34	6	order	order	NOUN
fcis-15810	34	7	to	to	PART
fcis-15810	34	8	reduce	reduce	VERB
fcis-15810	34	9	computing	computing	NOUN
fcis-15810	34	10	costs	cost	NOUN
fcis-15810	34	11	and	and	CCONJ
fcis-15810	34	12	improve	improve	VERB
fcis-15810	34	13	network	network	NOUN
fcis-15810	34	14	performance	performance	NOUN
fcis-15810	34	15	,	,	PUNCT
fcis-15810	34	16	we	we	PRON
fcis-15810	34	17	propose	propose	VERB
fcis-15810	34	18	a	a	DET
fcis-15810	34	19	multi	multi	ADJ
fcis-15810	34	20	-	-	ADJ
fcis-15810	34	21	scale	scale	ADJ
fcis-15810	34	22	channel	channel	NOUN
fcis-15810	34	23	and	and	CCONJ
fcis-15810	34	24	spatial	spatial	ADJ
fcis-15810	34	25	squeeze	squeeze	NOUN
fcis-15810	34	26	&	&	CCONJ
fcis-15810	34	27	excitation	excitation	NOUN
fcis-15810	34	28	module	module	NOUN
fcis-15810	34	29	(	(	PUNCT
fcis-15810	34	30	mcs	mcs	NOUN
fcis-15810	34	31	-	-	PUNCT
fcis-15810	34	32	sem	sem	NOUN
fcis-15810	34	33	)	)	PUNCT
fcis-15810	34	34	based	base	VERB
fcis-15810	34	35	on	on	ADP
fcis-15810	34	36	expansive	expansive	ADJ
fcis-15810	34	37	convolution	convolution	NOUN
fcis-15810	34	38	and	and	CCONJ
fcis-15810	34	39	integrate	integrate	VERB
fcis-15810	34	40	it	it	PRON
fcis-15810	34	41	into	into	ADP
fcis-15810	34	42	the	the	DET
fcis-15810	34	43	network	network	NOUN
fcis-15810	34	44	architecture	architecture	NOUN
fcis-15810	34	45	.	.	PUNCT
fcis-15810	35	1	through	through	ADP
fcis-15810	35	2	this	this	DET
fcis-15810	35	3	network	network	NOUN
fcis-15810	35	4	model	model	NOUN
fcis-15810	35	5	,	,	PUNCT
fcis-15810	35	6	the	the	DET
fcis-15810	35	7	original	original	ADJ
fcis-15810	35	8	image	image	NOUN
fcis-15810	35	9	information	information	NOUN
fcis-15810	35	10	can	can	AUX
fcis-15810	35	11	be	be	AUX
fcis-15810	35	12	used	use	VERB
fcis-15810	35	13	to	to	PART
fcis-15810	35	14	predict	predict	VERB
fcis-15810	35	15	the	the	DET
fcis-15810	35	16	dvh	dvh	NOUN
fcis-15810	35	17	of	of	ADP
fcis-15810	35	18	multiple	multiple	ADJ
fcis-15810	35	19	organs	organ	NOUN
fcis-15810	35	20	at	at	ADP
fcis-15810	35	21	risk	risk	NOUN
fcis-15810	35	22	in	in	ADP
fcis-15810	35	23	new	new	ADJ
fcis-15810	35	24	patients	patient	NOUN
fcis-15810	35	25	.	.	PUNCT
fcis-15810	36	1	3	3	X
fcis-15810	36	2	.	.	X
fcis-15810	36	3	methodology	methodology	NOUN
fcis-15810	36	4	in	in	ADP
fcis-15810	36	5	this	this	DET
fcis-15810	36	6	paper	paper	NOUN
fcis-15810	36	7	,	,	PUNCT
fcis-15810	36	8	it	it	PRON
fcis-15810	36	9	is	be	AUX
fcis-15810	36	10	proposed	propose	VERB
fcis-15810	36	11	that	that	SCONJ
fcis-15810	36	12	the	the	DET
fcis-15810	36	13	backbone	backbone	NOUN
fcis-15810	36	14	network	network	NOUN
fcis-15810	36	15	of	of	ADP
fcis-15810	36	16	tsen	tsen	PROPN
fcis-15810	36	17	is	be	AUX
fcis-15810	36	18	densenet	densenet	NOUN
fcis-15810	36	19	,	,	PUNCT
fcis-15810	36	20	and	and	CCONJ
fcis-15810	36	21	its	its	PRON
fcis-15810	36	22	basic	basic	ADJ
fcis-15810	36	23	module	module	NOUN
fcis-15810	36	24	is	be	AUX
fcis-15810	36	25	dense	dense	ADJ
fcis-15810	36	26	block	block	NOUN
fcis-15810	36	27	,	,	PUNCT
fcis-15810	36	28	which	which	PRON
fcis-15810	36	29	is	be	AUX
fcis-15810	36	30	composed	compose	VERB
fcis-15810	36	31	of	of	ADP
fcis-15810	36	32	multiple	multiple	ADJ
fcis-15810	36	33	convolutional	convolutional	ADJ
fcis-15810	36	34	layers	layer	NOUN
fcis-15810	36	35	,	,	PUNCT
fcis-15810	36	36	and	and	CCONJ
fcis-15810	36	37	the	the	DET
fcis-15810	36	38	input	input	NOUN
fcis-15810	36	39	of	of	ADP
fcis-15810	36	40	each	each	DET
fcis-15810	36	41	convolutional	convolutional	ADJ
fcis-15810	36	42	layer	layer	NOUN
fcis-15810	36	43	is	be	AUX
fcis-15810	36	44	the	the	DET
fcis-15810	36	45	output	output	NOUN
fcis-15810	36	46	of	of	ADP
fcis-15810	36	47	all	all	DET
fcis-15810	36	48	the	the	DET
fcis-15810	36	49	previous	previous	ADJ
fcis-15810	36	50	layers	layer	NOUN
fcis-15810	36	51	,	,	PUNCT
fcis-15810	36	52	so	so	SCONJ
fcis-15810	36	53	that	that	SCONJ
fcis-15810	36	54	the	the	DET
fcis-15810	36	55	output	output	NOUN
fcis-15810	36	56	of	of	ADP
fcis-15810	36	57	dense	dense	ADJ
fcis-15810	36	58	block	block	NOUN
fcis-15810	36	59	contains	contain	VERB
fcis-15810	36	60	all	all	DET
fcis-15810	36	61	the	the	DET
fcis-15810	36	62	input	input	NOUN
fcis-15810	36	63	feature	feature	NOUN
fcis-15810	36	64	information	information	NOUN
fcis-15810	36	65	,	,	PUNCT
fcis-15810	36	66	which	which	PRON
fcis-15810	36	67	is	be	AUX
fcis-15810	36	68	conducive	conducive	ADJ
fcis-15810	36	69	to	to	PART
fcis-15810	36	70	feature	feature	VERB
fcis-15810	36	71	reuse	reuse	NOUN
fcis-15810	36	72	and	and	CCONJ
fcis-15810	36	73	enhancement	enhancement	NOUN
fcis-15810	36	74	.	.	PUNCT
fcis-15810	37	1	in	in	ADP
fcis-15810	37	2	the	the	DET
fcis-15810	37	3	dense	dense	ADJ
fcis-15810	37	4	block	block	NOUN
fcis-15810	37	5	,	,	PUNCT
fcis-15810	37	6	in	in	ADP
fcis-15810	37	7	order	order	NOUN
fcis-15810	37	8	to	to	PART
fcis-15810	37	9	reduce	reduce	VERB
fcis-15810	37	10	the	the	DET
fcis-15810	37	11	size	size	NOUN
fcis-15810	37	12	of	of	ADP
fcis-15810	37	13	the	the	DET
fcis-15810	37	14	feature	feature	NOUN
fcis-15810	37	15	map	map	NOUN
fcis-15810	37	16	,	,	PUNCT
fcis-15810	37	17	1x1	1x1	NUM
fcis-15810	37	18	convolution	convolution	NOUN
fcis-15810	37	19	layer	layer	NOUN
fcis-15810	37	20	is	be	AUX
fcis-15810	37	21	generally	generally	ADV
fcis-15810	37	22	used	use	VERB
fcis-15810	37	23	to	to	PART
fcis-15810	37	24	reduce	reduce	VERB
fcis-15810	37	25	the	the	DET
fcis-15810	37	26	dimension	dimension	NOUN
fcis-15810	37	27	,	,	PUNCT
fcis-15810	37	28	and	and	CCONJ
fcis-15810	37	29	then	then	ADV
fcis-15810	37	30	3x3	3x3	NUM
fcis-15810	37	31	convolution	convolution	NOUN
fcis-15810	37	32	layer	layer	NOUN
fcis-15810	37	33	is	be	AUX
fcis-15810	37	34	used	use	VERB
fcis-15810	37	35	to	to	PART
fcis-15810	37	36	extract	extract	VERB
fcis-15810	37	37	the	the	DET
fcis-15810	37	38	feature	feature	NOUN
fcis-15810	37	39	,	,	PUNCT
fcis-15810	37	40	whose	whose	DET
fcis-15810	37	41	output	output	NOUN
fcis-15810	37	42	can	can	AUX
fcis-15810	37	43	be	be	AUX
fcis-15810	37	44	the	the	DET
fcis-15810	37	45	subsequent	subsequent	ADJ
fcis-15810	37	46	dense	dense	ADJ
fcis-15810	37	47	block	block	NOUN
fcis-15810	37	48	or	or	CCONJ
fcis-15810	37	49	the	the	DET
fcis-15810	37	50	whole	whole	ADJ
fcis-15810	37	51	network	network	NOUN
fcis-15810	37	52	output	output	NOUN
fcis-15810	37	53	.	.	PUNCT
fcis-15810	38	1	figure	figure	NOUN
fcis-15810	38	2	1	1	NUM
fcis-15810	38	3	.	.	PUNCT
fcis-15810	39	1	resu	resu	PROPN
fcis-15810	39	2	-	-	PROPN
fcis-15810	39	3	net	net	ADJ
fcis-15810	39	4	the	the	DET
fcis-15810	39	5	common	common	ADJ
fcis-15810	39	6	algorithm	algorithm	NOUN
fcis-15810	39	7	in	in	ADP
fcis-15810	39	8	the	the	DET
fcis-15810	39	9	cnn	cnn	PROPN
fcis-15810	39	10	model	model	NOUN
fcis-15810	39	11	is	be	AUX
fcis-15810	39	12	as	as	SCONJ
fcis-15810	39	13	follows	follow	VERB
fcis-15810	39	14	:	:	PUNCT
fcis-15810	40	1	volume	volume	NOUN
fcis-15810	40	2	layer	layer	NOUN
fcis-15810	40	3	(	(	PUNCT
fcis-15810	40	4	convolution	convolution	NOUN
fcis-15810	40	5	)	)	PUNCT
fcis-15810	40	6	:	:	PUNCT
fcis-15810	41	1	it	it	PRON
fcis-15810	41	2	is	be	AUX
fcis-15810	41	3	used	use	VERB
fcis-15810	41	4	for	for	ADP
fcis-15810	41	5	the	the	DET
fcis-15810	41	6	extraction	extraction	NOUN
fcis-15810	41	7	of	of	ADP
fcis-15810	41	8	line	line	NOUN
fcis-15810	41	9	features	feature	NOUN
fcis-15810	41	10	,	,	PUNCT
fcis-15810	41	11	that	that	ADV
fcis-15810	41	12	is	is	ADV
fcis-15810	41	13	,	,	PUNCT
fcis-15810	41	14	the	the	DET
fcis-15810	41	15	extraction	extraction	NOUN
fcis-15810	41	16	of	of	ADP
fcis-15810	41	17	line	line	NOUN
fcis-15810	41	18	features	feature	NOUN
fcis-15810	41	19	in	in	ADP
fcis-15810	41	20	a	a	DET
fcis-15810	41	21	region	region	NOUN
fcis-15810	41	22	on	on	ADP
fcis-15810	41	23	the	the	DET
fcis-15810	41	24	input	input	NOUN
fcis-15810	41	25	data	datum	NOUN
fcis-15810	41	26	.	.	PUNCT
fcis-15810	42	1	for	for	ADP
fcis-15810	42	2	example	example	NOUN
fcis-15810	42	3	,	,	PUNCT
fcis-15810	42	4	when	when	SCONJ
fcis-15810	42	5	we	we	PRON
fcis-15810	42	6	input	input	VERB
fcis-15810	42	7	an	an	DET
fcis-15810	42	8	image	image	NOUN
fcis-15810	42	9	of	of	ADP
fcis-15810	42	10	size	size	NOUN
fcis-15810	42	11	3	3	NUM
fcis-15810	42	12	2	2	NUM
fcis-15810	42	13	x	x	SYM
fcis-15810	42	14	3	3	NUM
fcis-15810	42	15	2	2	NUM
fcis-15810	42	16	x	x	SYM
fcis-15810	42	17	3	3	NUM
fcis-15810	42	18	(	(	PUNCT
fcis-15810	42	19	3	3	NUM
fcis-15810	42	20	is	be	AUX
fcis-15810	42	21	the	the	DET
fcis-15810	42	22	depth	depth	NOUN
fcis-15810	42	23	of	of	ADP
fcis-15810	42	24	the	the	DET
fcis-15810	42	25	image	image	NOUN
fcis-15810	42	26	,	,	PUNCT
fcis-15810	42	27	i.e.	i.e.	X
fcis-15810	42	28	r	r	NOUN
fcis-15810	42	29	g	g	NOUN
fcis-15810	42	30	b	b	NOUN
fcis-15810	42	31	color	color	NOUN
fcis-15810	42	32	)	)	PUNCT
fcis-15810	42	33	,	,	PUNCT
fcis-15810	42	34	by	by	ADP
fcis-15810	42	35	constructing	construct	VERB
fcis-15810	42	36	a	a	DET
fcis-15810	42	37	5	5	NUM
fcis-15810	42	38	x	x	SYM
fcis-15810	42	39	5	5	NUM
fcis-15810	42	40	x	x	SYM
fcis-15810	42	41	3	3	NUM
fcis-15810	42	42	receptive	receptive	ADJ
fcis-15810	42	43	field	field	NOUN
fcis-15810	42	44	(	(	PUNCT
fcis-15810	42	45	f	f	NOUN
fcis-15810	43	1	i	i	NOUN
fcis-15810	43	2	l	l	NOUN
fcis-15810	43	3	t	t	NOUN
fcis-15810	43	4	e	e	X
fcis-15810	43	5	r	r	NOUN
fcis-15810	43	6	)	)	PUNCT
fcis-15810	43	7	,	,	PUNCT
fcis-15810	43	8	we	we	PRON
fcis-15810	43	9	can	can	AUX
fcis-15810	43	10	get	get	VERB
fcis-15810	43	11	a	a	DET
fcis-15810	43	12	characteristic	characteristic	ADJ
fcis-15810	43	13	plot	plot	NOUN
fcis-15810	43	14	of	of	ADP
fcis-15810	43	15	2	2	NUM
fcis-15810	43	16	8	8	NUM
fcis-15810	43	17	x	x	SYM
fcis-15810	43	18	2	2	NUM
fcis-15810	43	19	8	8	NUM
fcis-15810	43	20	x	x	SYM
fcis-15810	43	21	1	1	X
fcis-15810	43	22	.	.	PUNCT
fcis-15810	44	1	each	each	DET
fcis-15810	44	2	volume	volume	NOUN
fcis-15810	44	3	layer	layer	NOUN
fcis-15810	44	4	generally	generally	ADV
fcis-15810	44	5	has	have	VERB
fcis-15810	44	6	multiple	multiple	ADJ
fcis-15810	44	7	different	different	ADJ
fcis-15810	44	8	receptive	receptive	ADJ
fcis-15810	44	9	fields	field	NOUN
fcis-15810	44	10	to	to	PART
fcis-15810	44	11	extract	extract	VERB
fcis-15810	44	12	different	different	ADJ
fcis-15810	44	13	characteristics	characteristic	NOUN
fcis-15810	44	14	.	.	PUNCT
fcis-15810	45	1	by	by	ADP
fcis-15810	45	2	means	mean	NOUN
fcis-15810	45	3	of	of	ADP
fcis-15810	45	4	multiple	multiple	ADJ
fcis-15810	45	5	volumes	volume	NOUN
fcis-15810	45	6	,	,	PUNCT
fcis-15810	45	7	the	the	DET
fcis-15810	45	8	characteristic	characteristic	ADJ
fcis-15810	45	9	maps	map	NOUN
fcis-15810	45	10	of	of	ADP
fcis-15810	45	11	deeper	deep	ADJ
fcis-15810	45	12	layers	layer	NOUN
fcis-15810	45	13	can	can	AUX
fcis-15810	45	14	be	be	AUX
fcis-15810	45	15	obtained	obtain	VERB
fcis-15810	45	16	.	.	PUNCT
fcis-15810	46	1	figure	figure	NOUN
fcis-15810	46	2	2	2	NUM
fcis-15810	46	3	.	.	PUNCT
fcis-15810	47	1	convolution	convolution	NOUN
fcis-15810	47	2	operation	operation	NOUN
fcis-15810	47	3	pooling	pooling	NOUN
fcis-15810	47	4	:	:	PUNCT
fcis-15810	47	5	it	it	PRON
fcis-15810	47	6	is	be	AUX
fcis-15810	47	7	used	use	VERB
fcis-15810	47	8	to	to	PART
fcis-15810	47	9	compress	compress	VERB
fcis-15810	47	10	the	the	DET
fcis-15810	47	11	feature	feature	NOUN
fcis-15810	47	12	map	map	NOUN
fcis-15810	47	13	,	,	PUNCT
fcis-15810	47	14	on	on	ADP
fcis-15810	47	15	the	the	DET
fcis-15810	47	16	one	one	NUM
fcis-15810	47	17	hand	hand	NOUN
fcis-15810	47	18	,	,	PUNCT
fcis-15810	47	19	to	to	PART
fcis-15810	47	20	make	make	VERB
fcis-15810	47	21	the	the	DET
fcis-15810	47	22	feature	feature	NOUN
fcis-15810	47	23	map	map	VERB
fcis-15810	47	24	smaller	small	ADJ
fcis-15810	47	25	and	and	CCONJ
fcis-15810	47	26	reduce	reduce	VERB
fcis-15810	47	27	the	the	DET
fcis-15810	47	28	calculation	calculation	NOUN
fcis-15810	47	29	amount	amount	NOUN
fcis-15810	47	30	,	,	PUNCT
fcis-15810	47	31	on	on	ADP
fcis-15810	47	32	the	the	DET
fcis-15810	47	33	other	other	ADJ
fcis-15810	47	34	hand	hand	NOUN
fcis-15810	47	35	,	,	PUNCT
fcis-15810	47	36	to	to	PART
fcis-15810	47	37	compress	compress	VERB
fcis-15810	47	38	the	the	DET
fcis-15810	47	39	feature	feature	NOUN
fcis-15810	47	40	.	.	PUNCT
fcis-15810	48	1	pooling	pool	VERB
fcis-15810	48	2	operations	operation	NOUN
fcis-15810	48	3	mainly	mainly	ADV
fcis-15810	48	4	include	include	VERB
fcis-15810	48	5	max	max	PROPN
fcis-15810	48	6	pooling	pooling	NOUN
fcis-15810	48	7	and	and	CCONJ
fcis-15810	48	8	average	average	ADJ
fcis-15810	48	9	pooling	pooling	NOUN
fcis-15810	48	10	.	.	PUNCT
fcis-15810	49	1	the	the	DET
fcis-15810	49	2	process	process	NOUN
fcis-15810	49	3	of	of	ADP
fcis-15810	49	4	the	the	DET
fcis-15810	49	5	former	former	ADJ
fcis-15810	49	6	is	be	AUX
fcis-15810	49	7	shown	show	VERB
fcis-15810	49	8	in	in	ADP
fcis-15810	49	9	figure	figure	NOUN
fcis-15810	49	10	3	3	NUM
fcis-15810	49	11	.	.	PUNCT
fcis-15810	49	12	using	use	VERB
fcis-15810	49	13	a	a	DET
fcis-15810	49	14	2x2	2x2	NUM
fcis-15810	49	15	receptive	receptive	ADJ
fcis-15810	49	16	field	field	NOUN
fcis-15810	49	17	,	,	PUNCT
fcis-15810	49	18	we	we	PRON
fcis-15810	49	19	compress	compress	VERB
fcis-15810	49	20	the	the	DET
fcis-15810	49	21	data	datum	NOUN
fcis-15810	49	22	to	to	ADP
fcis-15810	49	23	a	a	DET
fcis-15810	49	24	quarter	quarter	NOUN
fcis-15810	49	25	of	of	ADP
fcis-15810	49	26	its	its	PRON
fcis-15810	49	27	original	original	ADJ
fcis-15810	49	28	size	size	NOUN
fcis-15810	49	29	.	.	PUNCT
fcis-15810	50	1	this	this	DET
fcis-15810	50	2	method	method	NOUN
fcis-15810	50	3	of	of	ADP
fcis-15810	50	4	shrinking	shrink	VERB
fcis-15810	50	5	the	the	DET
fcis-15810	50	6	feature	feature	NOUN
fcis-15810	50	7	map	map	NOUN
fcis-15810	50	8	has	have	VERB
fcis-15810	50	9	the	the	DET
fcis-15810	50	10	potential	potential	NOUN
fcis-15810	50	11	to	to	PART
fcis-15810	50	12	affect	affect	VERB
fcis-15810	50	13	the	the	DET
fcis-15810	50	14	accuracy	accuracy	NOUN
fcis-15810	50	15	of	of	ADP
fcis-15810	50	16	the	the	DET
fcis-15810	50	17	model	model	NOUN
fcis-15810	50	18	,	,	PUNCT
fcis-15810	50	19	which	which	PRON
fcis-15810	50	20	can	can	AUX
fcis-15810	50	21	be	be	AUX
fcis-15810	50	22	compensated	compensate	VERB
fcis-15810	50	23	for	for	ADP
fcis-15810	50	24	by	by	ADP
fcis-15810	50	25	increasing	increase	VERB
fcis-15810	50	26	the	the	DET
fcis-15810	50	27	depth	depth	NOUN
fcis-15810	50	28	of	of	ADP
fcis-15810	50	29	the	the	DET
fcis-15810	50	30	feature	feature	NOUN
fcis-15810	50	31	map	map	NOUN
fcis-15810	50	32	.	.	PUNCT
fcis-15810	51	1	generally	generally	ADV
fcis-15810	51	2	,	,	PUNCT
fcis-15810	51	3	the	the	DET
fcis-15810	51	4	eigenvalues	eigenvalue	NOUN
fcis-15810	51	5	of	of	ADP
fcis-15810	51	6	edges	edge	NOUN
fcis-15810	51	7	are	be	AUX
fcis-15810	51	8	large	large	ADJ
fcis-15810	51	9	,	,	PUNCT
fcis-15810	51	10	so	so	SCONJ
fcis-15810	51	11	we	we	PRON
fcis-15810	51	12	use	use	VERB
fcis-15810	51	13	maximum	maximum	ADJ
fcis-15810	51	14	pooling	pooling	NOUN
fcis-15810	51	15	in	in	ADP
fcis-15810	51	16	resu	resu	NOUN
fcis-15810	51	17	-	-	NOUN
fcis-15810	51	18	net	net	NOUN
fcis-15810	51	19	.	.	PUNCT
fcis-15810	52	1	3.1	3.1	NUM
fcis-15810	52	2	.	.	PUNCT
fcis-15810	52	3	model	model	NOUN
fcis-15810	52	4	architectures	architecture	NOUN
fcis-15810	52	5	each	each	DET
fcis-15810	52	6	dense	dense	ADJ
fcis-15810	52	7	module	module	NOUN
fcis-15810	52	8	contains	contain	VERB
fcis-15810	52	9	two	two	NUM
fcis-15810	52	10	3x3	3x3	NUM
fcis-15810	52	11	convolution	convolution	NOUN
fcis-15810	52	12	.	.	PUNCT
fcis-15810	53	1	for	for	ADP
fcis-15810	53	2	all	all	DET
fcis-15810	53	3	convolution	convolution	NOUN
fcis-15810	53	4	layers	layer	NOUN
fcis-15810	53	5	,	,	PUNCT
fcis-15810	53	6	we	we	PRON
fcis-15810	53	7	set	set	VERB
fcis-15810	53	8	the	the	DET
fcis-15810	53	9	filling	filling	NOUN
fcis-15810	53	10	parameter	parameter	NOUN
fcis-15810	53	11	to	to	ADP
fcis-15810	53	12	1	1	NUM
fcis-15810	53	13	,	,	PUNCT
fcis-15810	53	14	which	which	PRON
fcis-15810	53	15	guarantees	guarantee	VERB
fcis-15810	53	16	that	that	SCONJ
fcis-15810	53	17	each	each	DET
fcis-15810	53	18	convolution	convolution	NOUN
fcis-15810	53	19	layer	layer	NOUN
fcis-15810	53	20	in	in	ADP
fcis-15810	53	21	the	the	DET
fcis-15810	53	22	module	module	NOUN
fcis-15810	53	23	can	can	AUX
fcis-15810	53	24	eventually	eventually	ADV
fcis-15810	53	25	produce	produce	VERB
fcis-15810	53	26	a	a	DET
fcis-15810	53	27	feature	feature	NOUN
fcis-15810	53	28	map	map	NOUN
fcis-15810	53	29	of	of	ADP
fcis-15810	53	30	the	the	DET
fcis-15810	53	31	same	same	ADJ
fcis-15810	53	32	size	size	NOUN
fcis-15810	53	33	.	.	PUNCT
fcis-15810	54	1	thus	thus	ADV
fcis-15810	54	2	,	,	PUNCT
fcis-15810	54	3	the	the	DET
fcis-15810	54	4	ℎ	ℎ	PROPN
fcis-15810	54	5	layer	layer	NOUN
fcis-15810	54	6	output	output	NOUN
fcis-15810	54	7	in	in	ADP
fcis-15810	54	8	the	the	DET
fcis-15810	54	9	module	module	NOUN
fcis-15810	54	10	can	can	AUX
fcis-15810	54	11	be	be	AUX
fcis-15810	54	12	expressed	express	VERB
fcis-15810	54	13	as	as	ADP
fcis-15810	54	14	the	the	DET
fcis-15810	54	15	formula	formula	NOUN
fcis-15810	54	16	:	:	PUNCT
fcis-15810	54	17	(	(	PUNCT
fcis-15810	54	18	1	1	X
fcis-15810	54	19	)	)	PUNCT
fcis-15810	54	20	where	where	SCONJ
fcis-15810	54	21	(	(	PUNCT
fcis-15810	54	22	⋅	⋅	PROPN
fcis-15810	54	23	)	)	PUNCT
fcis-15810	54	24	refers	refer	VERB
fcis-15810	54	25	to	to	ADP
fcis-15810	54	26	a	a	DET
fcis-15810	54	27	nonlinear	nonlinear	ADJ
fcis-15810	54	28	transformation	transformation	NOUN
fcis-15810	54	29	that	that	PRON
fcis-15810	54	30	increases	increase	VERB
fcis-15810	54	31	the	the	DET
fcis-15810	54	32	complexity	complexity	NOUN
fcis-15810	54	33	of	of	ADP
fcis-15810	54	34	the	the	DET
fcis-15810	54	35	model	model	NOUN
fcis-15810	54	36	.	.	PUNCT
fcis-15810	55	1	specifically	specifically	ADV
fcis-15810	55	2	,	,	PUNCT
fcis-15810	55	3	after	after	ADP
fcis-15810	55	4	the	the	DET
fcis-15810	55	5	batch	batch	NOUN
fcis-15810	55	6	normalization	normalization	NOUN
fcis-15810	55	7	layer	layer	NOUN
fcis-15810	55	8	,	,	PUNCT
fcis-15810	55	9	an	an	DET
fcis-15810	55	10	excitation	excitation	NOUN
fcis-15810	55	11	with	with	ADP
fcis-15810	55	12	a	a	DET
fcis-15810	55	13	parametric	parametric	ADJ
fcis-15810	55	14	rectified	rectify	VERB
fcis-15810	55	15	linear	linear	NOUN
fcis-15810	55	16	unit	unit	NOUN
fcis-15810	55	17	as	as	SCONJ
fcis-15810	55	18	the	the	DET
fcis-15810	55	19	activation	activation	NOUN
fcis-15810	55	20	function	function	NOUN
fcis-15810	55	21	is	be	AUX
fcis-15810	55	22	connected	connect	VERB
fcis-15810	55	23	.	.	PUNCT
fcis-15810	56	1	the	the	DET
fcis-15810	56	2	live	live	ADJ
fcis-15810	56	3	layer	layer	NOUN
fcis-15810	56	4	is	be	AUX
fcis-15810	56	5	finally	finally	ADV
fcis-15810	56	6	connected	connect	VERB
fcis-15810	56	7	to	to	ADP
fcis-15810	56	8	a	a	DET
fcis-15810	56	9	1x1	1x1	NUM
fcis-15810	56	10	volume	volume	NOUN
fcis-15810	56	11	layer	layer	NOUN
fcis-15810	56	12	.	.	PUNCT
fcis-15810	57	1	[	[	PUNCT
fcis-15810	57	2	0	0	NUM
fcis-15810	57	3	,	,	PUNCT
fcis-15810	57	4	1	1	NUM
fcis-15810	57	5	,	,	PUNCT
fcis-15810	57	6	...	...	PUNCT
fcis-15810	57	7	−1	−1	SYM
fcis-15810	57	8	]	]	PUNCT
fcis-15810	57	9	refers	refer	VERB
fcis-15810	57	10	to	to	ADP
fcis-15810	57	11	the	the	DET
fcis-15810	57	12	mapping	mapping	NOUN
fcis-15810	57	13	feature	feature	NOUN
fcis-15810	57	14	output	output	NOUN
fcis-15810	57	15	at	at	ADP
fcis-15810	57	16	layer	layer	NOUN
fcis-15810	57	17	0	0	NUM
fcis-15810	57	18	,	,	PUNCT
fcis-15810	57	19	...	...	PUNCT
fcis-15810	57	20	,	,	PUNCT
fcis-15810	57	21	−1	−1	NOUN
fcis-15810	57	22	,	,	PUNCT
fcis-15810	57	23	and	and	CCONJ
fcis-15810	57	24	sets	set	VERB
fcis-15810	57	25	the	the	DET
fcis-15810	57	26	densenet	densenet	NOUN
fcis-15810	57	27	backbone	backbone	NOUN
fcis-15810	57	28	network	network	NOUN
fcis-15810	57	29	growth	growth	NOUN
fcis-15810	57	30	rate	rate	NOUN
fcis-15810	57	31	to	to	ADP
fcis-15810	57	32	10	10	NUM
fcis-15810	57	33	.	.	PUNCT
fcis-15810	58	1	in	in	ADP
fcis-15810	58	2	this	this	DET
fcis-15810	58	3	study	study	NOUN
fcis-15810	58	4	,	,	PUNCT
fcis-15810	58	5	densenet	densenet	NOUN
fcis-15810	58	6	is	be	AUX
fcis-15810	58	7	used	use	VERB
fcis-15810	58	8	as	as	ADP
fcis-15810	58	9	a	a	DET
fcis-15810	58	10	model	model	NOUN
fcis-15810	58	11	to	to	PART
fcis-15810	58	12	set	set	VERB
fcis-15810	58	13	special	special	ADJ
fcis-15810	58	14	hyperparameters	hyperparameter	NOUN
fcis-15810	58	15	.	.	PUNCT
fcis-15810	59	1	its	its	PRON
fcis-15810	59	2	dense	dense	ADJ
fcis-15810	59	3	network	network	NOUN
fcis-15810	59	4	can	can	AUX
fcis-15810	59	5	well	well	ADV
fcis-15810	59	6	solve	solve	VERB
fcis-15810	59	7	the	the	DET
fcis-15810	59	8	overfitting	overfitte	VERB
fcis-15810	59	9	problem	problem	NOUN
fcis-15810	59	10	caused	cause	VERB
fcis-15810	59	11	by	by	ADP
fcis-15810	59	12	training	training	NOUN
fcis-15810	59	13	on	on	ADP
fcis-15810	59	14	relatively	relatively	ADV
fcis-15810	59	15	few	few	ADJ
fcis-15810	59	16	medical	medical	ADJ
fcis-15810	59	17	data	data	NOUN
fcis-15810	59	18	sets	set	NOUN
fcis-15810	59	19	,	,	PUNCT
fcis-15810	59	20	which	which	PRON
fcis-15810	59	21	also	also	ADV
fcis-15810	59	22	shows	show	VERB
fcis-15810	59	23	that	that	SCONJ
fcis-15810	59	24	the	the	DET
fcis-15810	59	25	network	network	NOUN
fcis-15810	59	26	has	have	VERB
fcis-15810	59	27	excellent	excellent	ADJ
fcis-15810	59	28	generalization	generalization	NOUN
fcis-15810	59	29	ability	ability	NOUN
fcis-15810	59	30	.	.	PUNCT
fcis-15810	60	1	the	the	DET
fcis-15810	60	2	original	original	ADJ
fcis-15810	60	3	u	u	NOUN
fcis-15810	60	4	-	-	NOUN
fcis-15810	60	5	net	net	NOUN
fcis-15810	60	6	could	could	AUX
fcis-15810	60	7	only	only	ADV
fcis-15810	60	8	extract	extract	VERB
fcis-15810	60	9	relatively	relatively	ADV
fcis-15810	60	10	low	low	ADJ
fcis-15810	60	11	-	-	PUNCT
fcis-15810	60	12	level	level	NOUN
fcis-15810	60	13	features	feature	NOUN
fcis-15810	60	14	,	,	PUNCT
fcis-15810	60	15	such	such	ADJ
fcis-15810	60	16	as	as	ADP
fcis-15810	60	17	edge	edge	NOUN
fcis-15810	60	18	and	and	CCONJ
fcis-15810	60	19	intensity	intensity	NOUN
fcis-15810	60	20	contrast	contrast	NOUN
fcis-15810	60	21	.	.	PUNCT
fcis-15810	61	1	this	this	DET
fcis-15810	61	2	problem	problem	NOUN
fcis-15810	61	3	can	can	AUX
fcis-15810	61	4	be	be	AUX
fcis-15810	61	5	solved	solve	VERB
fcis-15810	61	6	by	by	ADP
fcis-15810	61	7	increasing	increase	VERB
fcis-15810	61	8	the	the	DET
fcis-15810	61	9	depth	depth	NOUN
fcis-15810	61	10	of	of	ADP
fcis-15810	61	11	the	the	DET
fcis-15810	61	12	network	network	NOUN
fcis-15810	61	13	,	,	PUNCT
fcis-15810	61	14	but	but	CCONJ
fcis-15810	61	15	the	the	DET
fcis-15810	61	16	increase	increase	NOUN
fcis-15810	61	17	of	of	ADP
fcis-15810	61	18	the	the	DET
fcis-15810	61	19	depth	depth	NOUN
fcis-15810	61	20	of	of	ADP
fcis-15810	61	21	the	the	DET
fcis-15810	61	22	network	network	NOUN
fcis-15810	61	23	brings	bring	VERB
fcis-15810	61	24	two	two	NUM
fcis-15810	61	25	problems	problem	NOUN
fcis-15810	61	26	:	:	PUNCT
fcis-15810	61	27	first	first	ADV
fcis-15810	61	28	,	,	PUNCT
fcis-15810	61	29	the	the	DET
fcis-15810	61	30	gradient	gradient	NOUN
fcis-15810	61	31	disappears	disappear	VERB
fcis-15810	61	32	,	,	PUNCT
fcis-15810	61	33	63	63	NUM
fcis-15810	61	34	which	which	PRON
fcis-15810	61	35	makes	make	VERB
fcis-15810	61	36	it	it	PRON
fcis-15810	61	37	difficult	difficult	ADJ
fcis-15810	61	38	to	to	PART
fcis-15810	61	39	converge	converge	VERB
fcis-15810	61	40	;	;	PUNCT
fcis-15810	61	41	the	the	DET
fcis-15810	61	42	second	second	NOUN
fcis-15810	61	43	is	be	AUX
fcis-15810	61	44	degradation	degradation	NOUN
fcis-15810	61	45	,	,	PUNCT
fcis-15810	61	46	that	that	ADV
fcis-15810	61	47	is	is	ADV
fcis-15810	61	48	,	,	PUNCT
fcis-15810	61	49	the	the	DET
fcis-15810	61	50	appropriate	appropriate	ADJ
fcis-15810	61	51	depth	depth	NOUN
fcis-15810	61	52	continues	continue	VERB
fcis-15810	61	53	to	to	PART
fcis-15810	61	54	increase	increase	VERB
fcis-15810	61	55	the	the	DET
fcis-15810	61	56	number	number	NOUN
fcis-15810	61	57	of	of	ADP
fcis-15810	61	58	layers	layer	NOUN
fcis-15810	61	59	,	,	PUNCT
fcis-15810	61	60	and	and	CCONJ
fcis-15810	61	61	the	the	DET
fcis-15810	61	62	more	more	ADJ
fcis-15810	61	63	errors	error	NOUN
fcis-15810	61	64	generated	generate	VERB
fcis-15810	61	65	during	during	ADP
fcis-15810	61	66	training	training	NOUN
fcis-15810	61	67	,	,	PUNCT
fcis-15810	61	68	the	the	DET
fcis-15810	61	69	accuracy	accuracy	NOUN
fcis-15810	61	70	of	of	ADP
fcis-15810	61	71	the	the	DET
fcis-15810	61	72	model	model	NOUN
fcis-15810	61	73	will	will	AUX
fcis-15810	61	74	decline	decline	VERB
fcis-15810	61	75	.	.	PUNCT
fcis-15810	62	1	to	to	ADP
fcis-15810	62	2	this	this	DET
fcis-15810	62	3	end	end	NOUN
fcis-15810	62	4	,	,	PUNCT
fcis-15810	62	5	we	we	PRON
fcis-15810	62	6	joined	join	VERB
fcis-15810	62	7	residual	residual	ADJ
fcis-15810	62	8	block	block	NOUN
fcis-15810	62	9	to	to	PART
fcis-15810	62	10	design	design	VERB
fcis-15810	62	11	a	a	DET
fcis-15810	62	12	new	new	ADJ
fcis-15810	62	13	resu	resu	NOUN
fcis-15810	62	14	-	-	NOUN
fcis-15810	62	15	net	net	NOUN
fcis-15810	62	16	,	,	PUNCT
fcis-15810	62	17	which	which	PRON
fcis-15810	62	18	has	have	VERB
fcis-15810	62	19	more	more	ADJ
fcis-15810	62	20	branches	branch	NOUN
fcis-15810	62	21	connecting	connect	VERB
fcis-15810	62	22	the	the	DET
fcis-15810	62	23	input	input	NOUN
fcis-15810	62	24	directly	directly	ADV
fcis-15810	62	25	to	to	ADP
fcis-15810	62	26	the	the	DET
fcis-15810	62	27	following	follow	VERB
fcis-15810	62	28	layer	layer	NOUN
fcis-15810	62	29	than	than	ADP
fcis-15810	62	30	the	the	DET
fcis-15810	62	31	ordinary	ordinary	ADJ
fcis-15810	62	32	directly	directly	ADV
fcis-15810	62	33	connected	connect	VERB
fcis-15810	62	34	convolutional	convolutional	ADJ
fcis-15810	62	35	neural	neural	ADJ
fcis-15810	62	36	network	network	NOUN
fcis-15810	62	37	.	.	PUNCT
fcis-15810	63	1	3.2	3.2	NUM
fcis-15810	63	2	.	.	PUNCT
fcis-15810	64	1	dataset	dataset	ADJ
fcis-15810	64	2	introduction	introduction	NOUN
fcis-15810	64	3	3.2.1	3.2.1	NUM
fcis-15810	64	4	.	.	PUNCT
fcis-15810	65	1	space	space	NOUN
fcis-15810	65	2	squeeze&excitation	squeeze&excitation	PROPN
fcis-15810	65	3	,	,	PUNCT
fcis-15810	65	4	s	s	X
fcis-15810	65	5	-	-	PUNCT
fcis-15810	65	6	se	se	X
fcis-15810	65	7	the	the	DET
fcis-15810	65	8	space	space	NOUN
fcis-15810	65	9	squeeze&excitation	squeeze&excitation	NOUN
fcis-15810	65	10	(	(	PUNCT
fcis-15810	65	11	s	s	NOUN
fcis-15810	65	12	-	-	PUNCT
fcis-15810	65	13	se	se	ADJ
fcis-15810	65	14	)	)	PUNCT
fcis-15810	65	15	module	module	NOUN
fcis-15810	65	16	was	be	AUX
fcis-15810	65	17	originally	originally	ADV
fcis-15810	65	18	proposed	propose	VERB
fcis-15810	65	19	in	in	ADP
fcis-15810	65	20	the	the	DET
fcis-15810	65	21	2017	2017	NUM
fcis-15810	65	22	isvrc	isvrc	NOUN
fcis-15810	65	23	competition	competition	NOUN
fcis-15810	65	24	.	.	PUNCT
fcis-15810	66	1	it	it	PRON
fcis-15810	66	2	can	can	AUX
fcis-15810	66	3	effectively	effectively	ADV
fcis-15810	66	4	learn	learn	VERB
fcis-15810	66	5	the	the	DET
fcis-15810	66	6	interdependencies	interdependency	NOUN
fcis-15810	66	7	between	between	ADP
fcis-15810	66	8	similar	similar	ADJ
fcis-15810	66	9	features	feature	NOUN
fcis-15810	66	10	and	and	CCONJ
fcis-15810	66	11	use	use	VERB
fcis-15810	66	12	these	these	DET
fcis-15810	66	13	dependencies	dependency	NOUN
fcis-15810	66	14	to	to	PART
fcis-15810	66	15	strengthen	strengthen	VERB
fcis-15810	66	16	the	the	DET
fcis-15810	66	17	representational	representational	ADJ
fcis-15810	66	18	ability	ability	NOUN
fcis-15810	66	19	of	of	ADP
fcis-15810	66	20	the	the	DET
fcis-15810	66	21	network	network	NOUN
fcis-15810	66	22	.	.	PUNCT
fcis-15810	67	1	specifically	specifically	ADV
fcis-15810	67	2	,	,	PUNCT
fcis-15810	67	3	the	the	DET
fcis-15810	67	4	s	s	PROPN
fcis-15810	67	5	-	-	PUNCT
fcis-15810	67	6	se	se	ADJ
fcis-15810	67	7	module	module	NOUN
fcis-15810	67	8	reduces	reduce	VERB
fcis-15810	67	9	the	the	DET
fcis-15810	67	10	number	number	NOUN
fcis-15810	67	11	of	of	ADP
fcis-15810	67	12	channels	channel	NOUN
fcis-15810	67	13	through	through	ADP
fcis-15810	67	14	a	a	DET
fcis-15810	67	15	space	space	NOUN
fcis-15810	67	16	compression	compression	NOUN
fcis-15810	67	17	,	,	PUNCT
fcis-15810	67	18	then	then	ADV
fcis-15810	67	19	uses	use	VERB
fcis-15810	67	20	a	a	DET
fcis-15810	67	21	fully	fully	ADV
fcis-15810	67	22	connected	connect	VERB
fcis-15810	67	23	layer	layer	NOUN
fcis-15810	67	24	to	to	PART
fcis-15810	67	25	learn	learn	VERB
fcis-15810	67	26	the	the	DET
fcis-15810	67	27	importance	importance	NOUN
fcis-15810	67	28	weight	weight	NOUN
fcis-15810	67	29	of	of	ADP
fcis-15810	67	30	each	each	DET
fcis-15810	67	31	channel	channel	NOUN
fcis-15810	67	32	,	,	PUNCT
fcis-15810	67	33	and	and	CCONJ
fcis-15810	67	34	finally	finally	ADV
fcis-15810	67	35	applies	apply	VERB
fcis-15810	67	36	the	the	DET
fcis-15810	67	37	weight	weight	NOUN
fcis-15810	67	38	to	to	ADP
fcis-15810	67	39	the	the	DET
fcis-15810	67	40	compressed	compress	VERB
fcis-15810	67	41	channel	channel	NOUN
fcis-15810	67	42	to	to	PART
fcis-15810	67	43	obtain	obtain	VERB
fcis-15810	67	44	a	a	DET
fcis-15810	67	45	weighted	weight	VERB
fcis-15810	67	46	feature	feature	NOUN
fcis-15810	67	47	representation	representation	NOUN
fcis-15810	67	48	.	.	PUNCT
fcis-15810	68	1	in	in	ADP
fcis-15810	68	2	this	this	DET
fcis-15810	68	3	way	way	NOUN
fcis-15810	68	4	,	,	PUNCT
fcis-15810	68	5	the	the	DET
fcis-15810	68	6	network	network	NOUN
fcis-15810	68	7	can	can	AUX
fcis-15810	68	8	actively	actively	ADV
fcis-15810	68	9	focus	focus	VERB
fcis-15810	68	10	on	on	ADP
fcis-15810	68	11	the	the	DET
fcis-15810	68	12	important	important	ADJ
fcis-15810	68	13	feature	feature	NOUN
fcis-15810	68	14	channels	channel	NOUN
fcis-15810	68	15	,	,	PUNCT
fcis-15810	68	16	and	and	CCONJ
fcis-15810	68	17	ignore	ignore	VERB
fcis-15810	68	18	the	the	DET
fcis-15810	68	19	unimportant	unimportant	ADJ
fcis-15810	68	20	feature	feature	NOUN
fcis-15810	68	21	channels	channel	NOUN
fcis-15810	68	22	to	to	PART
fcis-15810	68	23	improve	improve	VERB
fcis-15810	68	24	the	the	DET
fcis-15810	68	25	accuracy	accuracy	NOUN
fcis-15810	68	26	and	and	CCONJ
fcis-15810	68	27	generalization	generalization	NOUN
fcis-15810	68	28	of	of	ADP
fcis-15810	68	29	the	the	DET
fcis-15810	68	30	network	network	NOUN
fcis-15810	68	31	.	.	PUNCT
fcis-15810	69	1	the	the	DET
fcis-15810	69	2	s	s	PROPN
fcis-15810	69	3	-	-	PUNCT
fcis-15810	69	4	se	se	ADJ
fcis-15810	69	5	module	module	NOUN
fcis-15810	69	6	has	have	AUX
fcis-15810	69	7	been	be	AUX
fcis-15810	69	8	widely	widely	ADV
fcis-15810	69	9	used	use	VERB
fcis-15810	69	10	in	in	ADP
fcis-15810	69	11	various	various	ADJ
fcis-15810	69	12	computer	computer	NOUN
fcis-15810	69	13	vision	vision	NOUN
fcis-15810	69	14	tasks	task	NOUN
fcis-15810	69	15	,	,	PUNCT
fcis-15810	69	16	and	and	CCONJ
fcis-15810	69	17	has	have	AUX
fcis-15810	69	18	achieved	achieve	VERB
fcis-15810	69	19	good	good	ADJ
fcis-15810	69	20	results	result	NOUN
fcis-15810	69	21	.	.	PUNCT
fcis-15810	70	1	in	in	ADP
fcis-15810	70	2	each	each	DET
fcis-15810	70	3	module	module	NOUN
fcis-15810	70	4	of	of	ADP
fcis-15810	70	5	the	the	DET
fcis-15810	70	6	s	s	NOUN
fcis-15810	70	7	-	-	PUNCT
fcis-15810	70	8	se	se	ADJ
fcis-15810	70	9	module	module	NOUN
fcis-15810	70	10	structure	structure	NOUN
fcis-15810	70	11	,	,	PUNCT
fcis-15810	70	12	when	when	SCONJ
fcis-15810	70	13	we	we	PRON
fcis-15810	70	14	extract	extract	VERB
fcis-15810	70	15	the	the	DET
fcis-15810	70	16	spatial	spatial	ADJ
fcis-15810	70	17	geometric	geometric	ADJ
fcis-15810	70	18	features	feature	NOUN
fcis-15810	70	19	of	of	ADP
fcis-15810	70	20	a	a	DET
fcis-15810	70	21	set	set	NOUN
fcis-15810	70	22	of	of	ADP
fcis-15810	70	23	ct	ct	NUM
fcis-15810	70	24	images	image	NOUN
fcis-15810	70	25	,	,	PUNCT
fcis-15810	70	26	we	we	PRON
fcis-15810	70	27	can	can	AUX
fcis-15810	70	28	follow	follow	VERB
fcis-15810	70	29	the	the	DET
fcis-15810	70	30	following	follow	VERB
fcis-15810	70	31	steps	step	NOUN
fcis-15810	70	32	:	:	PUNCT
fcis-15810	70	33	first	first	ADV
fcis-15810	70	34	,	,	PUNCT
fcis-15810	70	35	the	the	DET
fcis-15810	70	36	channel	channel	NOUN
fcis-15810	70	37	information	information	NOUN
fcis-15810	70	38	should	should	AUX
fcis-15810	70	39	be	be	AUX
fcis-15810	70	40	compressed	compress	VERB
fcis-15810	70	41	to	to	PART
fcis-15810	70	42	reduce	reduce	VERB
fcis-15810	70	43	the	the	DET
fcis-15810	70	44	number	number	NOUN
fcis-15810	70	45	of	of	ADP
fcis-15810	70	46	channels	channel	NOUN
fcis-15810	70	47	and	and	CCONJ
fcis-15810	70	48	retain	retain	VERB
fcis-15810	70	49	the	the	DET
fcis-15810	70	50	most	most	ADV
fcis-15810	70	51	important	important	ADJ
fcis-15810	70	52	information	information	NOUN
fcis-15810	70	53	.	.	PUNCT
fcis-15810	71	1	second	second	ADV
fcis-15810	71	2	,	,	PUNCT
fcis-15810	71	3	the	the	DET
fcis-15810	71	4	incentive	incentive	NOUN
fcis-15810	71	5	operation	operation	NOUN
fcis-15810	71	6	of	of	ADP
fcis-15810	71	7	the	the	DET
fcis-15810	71	8	spatial	spatial	ADJ
fcis-15810	71	9	part	part	NOUN
fcis-15810	71	10	is	be	AUX
fcis-15810	71	11	necessary	necessary	ADJ
fcis-15810	71	12	.	.	PUNCT
fcis-15810	72	1	in	in	ADP
fcis-15810	72	2	order	order	NOUN
fcis-15810	72	3	to	to	PART
fcis-15810	72	4	obtain	obtain	VERB
fcis-15810	72	5	the	the	DET
fcis-15810	72	6	index	index	NOUN
fcis-15810	72	7	of	of	ADP
fcis-15810	72	8	the	the	DET
fcis-15810	72	9	importance	importance	NOUN
fcis-15810	72	10	of	of	ADP
fcis-15810	72	11	spatial	spatial	ADJ
fcis-15810	72	12	position	position	NOUN
fcis-15810	72	13	,	,	PUNCT
fcis-15810	72	14	excitation	excitation	NOUN
fcis-15810	72	15	operations	operation	NOUN
fcis-15810	72	16	can	can	AUX
fcis-15810	72	17	be	be	AUX
fcis-15810	72	18	used	use	VERB
fcis-15810	72	19	to	to	PART
fcis-15810	72	20	activate	activate	VERB
fcis-15810	72	21	each	each	DET
fcis-15810	72	22	spatial	spatial	ADJ
fcis-15810	72	23	position	position	NOUN
fcis-15810	72	24	in	in	ADP
fcis-15810	72	25	the	the	DET
fcis-15810	72	26	feature	feature	NOUN
fcis-15810	72	27	map	map	NOUN
fcis-15810	72	28	.	.	PUNCT
fcis-15810	73	1	then	then	ADV
fcis-15810	73	2	,	,	PUNCT
fcis-15810	73	3	it	it	PRON
fcis-15810	73	4	is	be	AUX
fcis-15810	73	5	feature	feature	NOUN
fcis-15810	73	6	extraction	extraction	NOUN
fcis-15810	73	7	.	.	PUNCT
fcis-15810	74	1	the	the	DET
fcis-15810	74	2	ct	ct	PROPN
fcis-15810	74	3	images	image	NOUN
fcis-15810	74	4	after	after	ADP
fcis-15810	74	5	compression	compression	NOUN
fcis-15810	74	6	and	and	CCONJ
fcis-15810	74	7	excitation	excitation	NOUN
fcis-15810	74	8	processing	processing	NOUN
fcis-15810	74	9	are	be	AUX
fcis-15810	74	10	input	input	NOUN
fcis-15810	74	11	into	into	ADP
fcis-15810	74	12	five	five	NUM
fcis-15810	74	13	dense	dense	ADJ
fcis-15810	74	14	modules	module	NOUN
fcis-15810	74	15	to	to	PART
fcis-15810	74	16	generate	generate	VERB
fcis-15810	74	17	feature	feature	NOUN
fcis-15810	74	18	maps.m=	maps.m=	NOUN
fcis-15810	74	19	(	(	PUNCT
fcis-15810	74	20	2	2	NUM
fcis-15810	74	21	)	)	PUNCT
fcis-15810	74	22	here	here	ADV
fcis-15810	74	23	,	,	PUNCT
fcis-15810	74	24	×	×	NOUN
fcis-15810	74	25	is	be	AUX
fcis-15810	74	26	the	the	DET
fcis-15810	74	27	size	size	NOUN
fcis-15810	74	28	of	of	ADP
fcis-15810	74	29	the	the	DET
fcis-15810	74	30	feature	feature	NOUN
fcis-15810	74	31	map	map	NOUN
fcis-15810	74	32	,	,	PUNCT
fcis-15810	74	33	and	and	CCONJ
fcis-15810	74	34	and	and	CCONJ
fcis-15810	74	35	are	be	AUX
fcis-15810	74	36	the	the	DET
fcis-15810	74	37	spatial	spatial	ADJ
fcis-15810	74	38	position	position	NOUN
fcis-15810	74	39	coordinates	coordinate	NOUN
fcis-15810	74	40	of	of	ADP
fcis-15810	74	41	the	the	DET
fcis-15810	74	42	feature	feature	NOUN
fcis-15810	74	43	map	map	NOUN
fcis-15810	74	44	.	.	PUNCT
fcis-15810	75	1	finally	finally	ADV
fcis-15810	75	2	,	,	PUNCT
fcis-15810	75	3	space	space	NOUN
fcis-15810	75	4	compression	compression	NOUN
fcis-15810	75	5	.	.	PUNCT
fcis-15810	76	1	in	in	ADP
fcis-15810	76	2	order	order	NOUN
fcis-15810	76	3	to	to	PART
fcis-15810	76	4	reduce	reduce	VERB
fcis-15810	76	5	the	the	DET
fcis-15810	76	6	dimension	dimension	NOUN
fcis-15810	76	7	of	of	ADP
fcis-15810	76	8	feature	feature	NOUN
fcis-15810	76	9	map	map	NOUN
fcis-15810	76	10	,	,	PUNCT
fcis-15810	76	11	1×1	1×1	NUM
fcis-15810	76	12	convolution	convolution	NOUN
fcis-15810	76	13	is	be	AUX
fcis-15810	76	14	used	use	VERB
fcis-15810	76	15	for	for	ADP
fcis-15810	76	16	space	space	NOUN
fcis-15810	76	17	compression	compression	NOUN
fcis-15810	76	18	n	n	NOUN
fcis-15810	76	19	,	,	PUNCT
fcis-15810	76	20	and	and	CCONJ
fcis-15810	76	21	the	the	DET
fcis-15810	76	22	output	output	NOUN
fcis-15810	76	23	feature	feature	NOUN
fcis-15810	76	24	is	be	AUX
fcis-15810	76	25	obtained	obtain	VERB
fcis-15810	76	26	.	.	PUNCT
fcis-15810	77	1	=	=	SYM
fcis-15810	77	2	n	n	NUM
fcis-15810	77	3	×	×	NOUN
fcis-15810	77	4	m	m	NOUN
fcis-15810	77	5	(	(	PUNCT
fcis-15810	77	6	3	3	NUM
fcis-15810	77	7	)	)	PUNCT
fcis-15810	77	8	in	in	ADP
fcis-15810	77	9	the	the	DET
fcis-15810	77	10	above	above	ADJ
fcis-15810	77	11	formula	formula	NOUN
fcis-15810	77	12	,	,	PUNCT
fcis-15810	77	13	n	n	CCONJ
fcis-15810	77	14	ϵr1×1×	ϵr1×1×	NOUN
fcis-15810	77	15	.	.	PUNCT
fcis-15810	78	1	for	for	ADP
fcis-15810	78	2	,	,	PUNCT
fcis-15810	78	3	we	we	PRON
fcis-15810	78	4	finally	finally	ADV
fcis-15810	78	5	run	run	VERB
fcis-15810	78	6	it	it	PRON
fcis-15810	78	7	through	through	ADP
fcis-15810	78	8	an	an	DET
fcis-15810	78	9	activation	activation	NOUN
fcis-15810	78	10	function	function	NOUN
fcis-15810	78	11	to	to	PART
fcis-15810	78	12	normalize	normalize	VERB
fcis-15810	78	13	its	its	PRON
fcis-15810	78	14	result	result	NOUN
fcis-15810	78	15	to	to	ADP
fcis-15810	78	16	between	between	ADP
fcis-15810	78	17	0	0	NUM
fcis-15810	78	18	and	and	CCONJ
fcis-15810	78	19	1	1	NUM
fcis-15810	78	20	.	.	PUNCT
fcis-15810	79	1	(	(	PUNCT
fcis-15810	79	2	4	4	NUM
fcis-15810	79	3	)	)	PUNCT
fcis-15810	79	4	in	in	ADP
fcis-15810	79	5	the	the	DET
fcis-15810	79	6	above	above	ADJ
fcis-15810	79	7	formula	formula	NOUN
fcis-15810	79	8	,	,	PUNCT
fcis-15810	79	9	the	the	DET
fcis-15810	79	10	magnitude	magnitude	NOUN
fcis-15810	79	11	of	of	ADP
fcis-15810	79	12	(	(	PUNCT
fcis-15810	79	13	,	,	PUNCT
fcis-15810	79	14	)	)	PUNCT
fcis-15810	79	15	represents	represent	VERB
fcis-15810	79	16	the	the	DET
fcis-15810	79	17	importance	importance	NOUN
fcis-15810	79	18	weight	weight	NOUN
fcis-15810	79	19	of	of	ADP
fcis-15810	79	20	the	the	DET
fcis-15810	79	21	spatial	spatial	ADJ
fcis-15810	79	22	position	position	NOUN
fcis-15810	79	23	coordinates	coordinate	NOUN
fcis-15810	79	24	and	and	CCONJ
fcis-15810	79	25	,	,	PUNCT
fcis-15810	79	26	which	which	PRON
fcis-15810	79	27	are	be	AUX
fcis-15810	79	28	important	important	ADJ
fcis-15810	79	29	parameters	parameter	NOUN
fcis-15810	79	30	for	for	ADP
fcis-15810	79	31	the	the	DET
fcis-15810	79	32	model	model	NOUN
fcis-15810	79	33	.	.	PUNCT
fcis-15810	80	1	when	when	SCONJ
fcis-15810	80	2	the	the	DET
fcis-15810	80	3	training	training	NOUN
fcis-15810	80	4	process	process	NOUN
fcis-15810	80	5	continues	continue	VERB
fcis-15810	80	6	to	to	PART
fcis-15810	80	7	iterate	iterate	VERB
fcis-15810	80	8	,	,	PUNCT
fcis-15810	80	9	the	the	DET
fcis-15810	80	10	module	module	NOUN
fcis-15810	80	11	will	will	AUX
fcis-15810	80	12	gradually	gradually	ADV
fcis-15810	80	13	ignore	ignore	VERB
fcis-15810	80	14	the	the	DET
fcis-15810	80	15	non	non	ADJ
fcis-15810	80	16	-	-	ADJ
fcis-15810	80	17	important	important	ADJ
fcis-15810	80	18	positions	position	NOUN
fcis-15810	80	19	and	and	CCONJ
fcis-15810	80	20	actively	actively	ADV
fcis-15810	80	21	focus	focus	VERB
fcis-15810	80	22	on	on	ADP
fcis-15810	80	23	the	the	DET
fcis-15810	80	24	important	important	ADJ
fcis-15810	80	25	spatial	spatial	ADJ
fcis-15810	80	26	positions	position	NOUN
fcis-15810	80	27	.	.	PUNCT
fcis-15810	81	1	this	this	PRON
fcis-15810	81	2	is	be	AUX
fcis-15810	81	3	how	how	SCONJ
fcis-15810	81	4	the	the	DET
fcis-15810	81	5	s	s	NOUN
fcis-15810	81	6	-	-	PUNCT
fcis-15810	81	7	se	se	ADJ
fcis-15810	81	8	module	module	NOUN
fcis-15810	81	9	works	work	VERB
fcis-15810	81	10	3.3	3.3	NUM
fcis-15810	81	11	.	.	PUNCT
fcis-15810	82	1	data	datum	NOUN
fcis-15810	82	2	analysis	analysis	NOUN
fcis-15810	82	3	and	and	CCONJ
fcis-15810	82	4	preprocessing	preprocesse	VERB
fcis-15810	82	5	the	the	DET
fcis-15810	82	6	tsen	tsen	ADJ
fcis-15810	82	7	structure	structure	NOUN
fcis-15810	82	8	consists	consist	VERB
fcis-15810	82	9	of	of	ADP
fcis-15810	82	10	three	three	NUM
fcis-15810	82	11	component	component	NOUN
fcis-15810	82	12	modules	module	NOUN
fcis-15810	82	13	:	:	PUNCT
fcis-15810	82	14	1	1	X
fcis-15810	82	15	.	.	PUNCT
fcis-15810	82	16	densenet	densenet	NOUN
fcis-15810	82	17	module	module	NOUN
fcis-15810	82	18	of	of	ADP
fcis-15810	82	19	intensive	intensive	ADJ
fcis-15810	82	20	convolutional	convolutional	ADJ
fcis-15810	82	21	neural	neural	ADJ
fcis-15810	82	22	network	network	NOUN
fcis-15810	82	23	.	.	PUNCT
fcis-15810	83	1	as	as	ADP
fcis-15810	83	2	the	the	DET
fcis-15810	83	3	backbone	backbone	NOUN
fcis-15810	83	4	network	network	NOUN
fcis-15810	83	5	of	of	ADP
fcis-15810	83	6	tsen	tsen	PROPN
fcis-15810	83	7	,	,	PUNCT
fcis-15810	83	8	it	it	PRON
fcis-15810	83	9	can	can	AUX
fcis-15810	83	10	extract	extract	VERB
fcis-15810	83	11	three	three	NUM
fcis-15810	83	12	-	-	PUNCT
fcis-15810	83	13	dimensional	dimensional	ADJ
fcis-15810	83	14	spatial	spatial	ADJ
fcis-15810	83	15	features	feature	NOUN
fcis-15810	83	16	from	from	ADP
fcis-15810	83	17	three	three	NUM
fcis-15810	83	18	different	different	ADJ
fcis-15810	83	19	types	type	NOUN
fcis-15810	83	20	of	of	ADP
fcis-15810	83	21	images	image	NOUN
fcis-15810	83	22	and	and	CCONJ
fcis-15810	83	23	retain	retain	VERB
fcis-15810	83	24	them	they	PRON
fcis-15810	83	25	,	,	PUNCT
fcis-15810	83	26	as	as	SCONJ
fcis-15810	83	27	shown	show	VERB
fcis-15810	83	28	in	in	ADP
fcis-15810	83	29	the	the	DET
fcis-15810	83	30	figure	figure	NOUN
fcis-15810	83	31	below	below	ADP
fcis-15810	83	32	main	main	ADJ
fcis-15810	83	33	spatial	spatial	ADJ
fcis-15810	83	34	information	information	NOUN
fcis-15810	83	35	.	.	PUNCT
fcis-15810	84	1	2	2	X
fcis-15810	84	2	.	.	X
fcis-15810	84	3	translation	translation	NOUN
fcis-15810	84	4	layer	layer	NOUN
fcis-15810	84	5	module	module	NOUN
fcis-15810	84	6	.	.	PUNCT
fcis-15810	85	1	after	after	SCONJ
fcis-15810	85	2	the	the	DET
fcis-15810	85	3	module	module	NOUN
fcis-15810	85	4	is	be	AUX
fcis-15810	85	5	set	set	VERB
fcis-15810	85	6	as	as	ADP
fcis-15810	85	7	a	a	DET
fcis-15810	85	8	batch	batch	NOUN
fcis-15810	85	9	normalized	normalize	VERB
fcis-15810	85	10	layer	layer	NOUN
fcis-15810	85	11	in	in	ADP
fcis-15810	85	12	the	the	DET
fcis-15810	85	13	tsen	tsen	ADJ
fcis-15810	85	14	structure	structure	NOUN
fcis-15810	85	15	,	,	PUNCT
fcis-15810	85	16	a	a	DET
fcis-15810	85	17	convolution	convolution	NOUN
fcis-15810	85	18	filter	filter	NOUN
fcis-15810	85	19	with	with	ADP
fcis-15810	85	20	a	a	DET
fcis-15810	85	21	size	size	NOUN
fcis-15810	85	22	of	of	ADP
fcis-15810	85	23	1×1	1×1	NUM
fcis-15810	85	24	is	be	AUX
fcis-15810	85	25	connected	connect	VERB
fcis-15810	85	26	for	for	ADP
fcis-15810	85	27	convolution	convolution	NOUN
fcis-15810	85	28	,	,	PUNCT
fcis-15810	85	29	and	and	CCONJ
fcis-15810	85	30	then	then	ADV
fcis-15810	85	31	an	an	DET
fcis-15810	85	32	average	average	ADJ
fcis-15810	85	33	pooling	pooling	NOUN
fcis-15810	85	34	layer	layer	NOUN
fcis-15810	85	35	is	be	AUX
fcis-15810	85	36	connected	connect	VERB
fcis-15810	85	37	for	for	ADP
fcis-15810	85	38	dimensional	dimensional	ADJ
fcis-15810	85	39	compression	compression	NOUN
fcis-15810	85	40	,	,	PUNCT
fcis-15810	85	41	which	which	PRON
fcis-15810	85	42	can	can	AUX
fcis-15810	85	43	ensure	ensure	VERB
fcis-15810	85	44	that	that	SCONJ
fcis-15810	85	45	the	the	DET
fcis-15810	85	46	final	final	ADJ
fcis-15810	85	47	output	output	NOUN
fcis-15810	85	48	of	of	ADP
fcis-15810	85	49	each	each	DET
fcis-15810	85	50	dense	dense	ADJ
fcis-15810	85	51	layer	layer	NOUN
fcis-15810	85	52	has	have	VERB
fcis-15810	85	53	the	the	DET
fcis-15810	85	54	same	same	ADJ
fcis-15810	85	55	size	size	NOUN
fcis-15810	85	56	feature	feature	NOUN
fcis-15810	85	57	map	map	NOUN
fcis-15810	85	58	.	.	PUNCT
fcis-15810	86	1	3.mcs	3.mcs	ADJ
fcis-15810	86	2	-	-	PUNCT
fcis-15810	86	3	sem	sem	NOUN
fcis-15810	86	4	module	module	NOUN
fcis-15810	86	5	.	.	PUNCT
fcis-15810	87	1	the	the	DET
fcis-15810	87	2	module	module	NOUN
fcis-15810	87	3	integrates	integrate	NOUN
fcis-15810	87	4	and	and	CCONJ
fcis-15810	87	5	calibrates	calibrate	VERB
fcis-15810	87	6	the	the	DET
fcis-15810	87	7	three	three	NUM
fcis-15810	87	8	-	-	PUNCT
fcis-15810	87	9	dimensional	dimensional	ADJ
fcis-15810	87	10	spatial	spatial	ADJ
fcis-15810	87	11	information	information	NOUN
fcis-15810	87	12	extracted	extract	VERB
fcis-15810	87	13	by	by	ADP
fcis-15810	87	14	the	the	DET
fcis-15810	87	15	convolutional	convolutional	ADJ
fcis-15810	87	16	filter	filter	NOUN
fcis-15810	87	17	,	,	PUNCT
fcis-15810	87	18	which	which	PRON
fcis-15810	87	19	can	can	AUX
fcis-15810	87	20	not	not	PART
fcis-15810	87	21	only	only	ADV
fcis-15810	87	22	retain	retain	VERB
fcis-15810	87	23	comprehensive	comprehensive	ADJ
fcis-15810	87	24	spatial	spatial	ADJ
fcis-15810	87	25	information	information	NOUN
fcis-15810	87	26	at	at	ADP
fcis-15810	87	27	a	a	DET
fcis-15810	87	28	low	low	ADJ
fcis-15810	87	29	computational	computational	ADJ
fcis-15810	87	30	cost	cost	NOUN
fcis-15810	87	31	,	,	PUNCT
fcis-15810	87	32	but	but	CCONJ
fcis-15810	87	33	also	also	ADV
fcis-15810	87	34	effectively	effectively	ADV
fcis-15810	87	35	extract	extract	VERB
fcis-15810	87	36	the	the	DET
fcis-15810	87	37	contour	contour	NOUN
fcis-15810	87	38	features	feature	NOUN
fcis-15810	87	39	of	of	ADP
fcis-15810	87	40	different	different	ADJ
fcis-15810	87	41	shapes	shape	NOUN
fcis-15810	87	42	of	of	ADP
fcis-15810	87	43	endangered	endangered	ADJ
fcis-15810	87	44	organs	organ	NOUN
fcis-15810	87	45	.	.	PUNCT
fcis-15810	88	1	we	we	PRON
fcis-15810	88	2	used	use	VERB
fcis-15810	88	3	rt	rt	NOUN
fcis-15810	88	4	-	-	PUNCT
fcis-15810	88	5	structure	structure	NOUN
fcis-15810	88	6	data	datum	NOUN
fcis-15810	88	7	to	to	PART
fcis-15810	88	8	obtain	obtain	VERB
fcis-15810	88	9	the	the	DET
fcis-15810	88	10	3d	3d	NUM
fcis-15810	88	11	target	target	NOUN
fcis-15810	88	12	contour	contour	NOUN
fcis-15810	88	13	and	and	CCONJ
fcis-15810	88	14	3d	3d	NUM
fcis-15810	88	15	scanning	scanning	NOUN
fcis-15810	88	16	map	map	NOUN
fcis-15810	88	17	of	of	ADP
fcis-15810	88	18	the	the	DET
fcis-15810	88	19	contours	contours	NOUN
fcis-15810	88	20	of	of	ADP
fcis-15810	88	21	the	the	DET
fcis-15810	88	22	organs	organ	NOUN
fcis-15810	88	23	at	at	ADP
fcis-15810	88	24	risk	risk	NOUN
fcis-15810	88	25	,	,	PUNCT
fcis-15810	88	26	and	and	CCONJ
fcis-15810	88	27	then	then	ADV
fcis-15810	88	28	calculated	calculate	VERB
fcis-15810	88	29	the	the	DET
fcis-15810	88	30	3d	3d	NUM
fcis-15810	88	31	distance	distance	NOUN
fcis-15810	88	32	image	image	NOUN
fcis-15810	88	33	,	,	PUNCT
fcis-15810	88	34	and	and	CCONJ
fcis-15810	88	35	then	then	ADV
fcis-15810	88	36	extracted	extract	VERB
fcis-15810	88	37	these	these	DET
fcis-15810	88	38	images	image	NOUN
fcis-15810	88	39	together	together	ADV
fcis-15810	88	40	through	through	ADP
fcis-15810	88	41	the	the	DET
fcis-15810	88	42	feature	feature	NOUN
fcis-15810	88	43	extractor	extractor	NOUN
fcis-15810	88	44	,	,	PUNCT
fcis-15810	88	45	converted	convert	VERB
fcis-15810	88	46	into	into	ADP
fcis-15810	88	47	feature	feature	NOUN
fcis-15810	88	48	vectors	vector	NOUN
fcis-15810	88	49	and	and	CCONJ
fcis-15810	88	50	sent	send	VERB
fcis-15810	88	51	to	to	ADP
fcis-15810	88	52	the	the	DET
fcis-15810	88	53	tsen	tsen	ADJ
fcis-15810	88	54	network	network	NOUN
fcis-15810	88	55	.	.	PUNCT
fcis-15810	89	1	the	the	DET
fcis-15810	89	2	spatial	spatial	ADJ
fcis-15810	89	3	features	feature	NOUN
fcis-15810	89	4	were	be	AUX
fcis-15810	89	5	extracted	extract	VERB
fcis-15810	89	6	by	by	ADP
fcis-15810	89	7	convolutional	convolutional	ADJ
fcis-15810	89	8	neural	neural	ADJ
fcis-15810	89	9	network	network	NOUN
fcis-15810	89	10	,	,	PUNCT
fcis-15810	89	11	and	and	CCONJ
fcis-15810	89	12	then	then	ADV
fcis-15810	89	13	the	the	DET
fcis-15810	89	14	feature	feature	NOUN
fcis-15810	89	15	fusion	fusion	NOUN
fcis-15810	89	16	was	be	AUX
fcis-15810	89	17	calibrated	calibrate	VERB
fcis-15810	89	18	by	by	ADP
fcis-15810	89	19	mcs	mcs	PROPN
fcis-15810	89	20	-	-	PUNCT
fcis-15810	89	21	sem	sem	PROPN
fcis-15810	89	22	.	.	PUNCT
fcis-15810	90	1	finally	finally	ADV
fcis-15810	90	2	,	,	PUNCT
fcis-15810	90	3	the	the	DET
fcis-15810	90	4	predictive	predictive	ADJ
fcis-15810	90	5	dvh	dvh	NOUN
fcis-15810	90	6	feature	feature	NOUN
fcis-15810	90	7	vectors	vector	NOUN
fcis-15810	90	8	of	of	ADP
fcis-15810	90	9	multiple	multiple	ADJ
fcis-15810	90	10	organs	organ	NOUN
fcis-15810	90	11	at	at	ADP
fcis-15810	90	12	risk	risk	NOUN
fcis-15810	90	13	were	be	AUX
fcis-15810	90	14	generated	generate	VERB
fcis-15810	90	15	by	by	ADP
fcis-15810	90	16	the	the	DET
fcis-15810	90	17	output	output	NOUN
fcis-15810	90	18	module	module	NOUN
fcis-15810	90	19	of	of	ADP
fcis-15810	90	20	tsen	tsen	ADJ
fcis-15810	90	21	backbone	backbone	NOUN
fcis-15810	90	22	network	network	NOUN
fcis-15810	90	23	.	.	PUNCT
fcis-15810	91	1	figure	figure	NOUN
fcis-15810	91	2	3	3	NUM
fcis-15810	91	3	.	.	PUNCT
fcis-15810	91	4	tsen	tsen	ADJ
fcis-15810	91	5	structure	structure	NOUN
fcis-15810	91	6	4	4	NUM
fcis-15810	91	7	.	.	PUNCT
fcis-15810	92	1	conclusion	conclusion	VERB
fcis-15810	92	2	the	the	DET
fcis-15810	92	3	main	main	ADJ
fcis-15810	92	4	content	content	NOUN
fcis-15810	92	5	of	of	ADP
fcis-15810	92	6	this	this	DET
fcis-15810	92	7	study	study	NOUN
fcis-15810	92	8	is	be	AUX
fcis-15810	92	9	to	to	PART
fcis-15810	92	10	develop	develop	VERB
fcis-15810	92	11	a	a	DET
fcis-15810	92	12	dvh	dvh	NOUN
fcis-15810	92	13	prediction	prediction	NOUN
fcis-15810	92	14	model	model	NOUN
fcis-15810	92	15	based	base	VERB
fcis-15810	92	16	on	on	ADP
fcis-15810	92	17	tsen	tsen	ADJ
fcis-15810	92	18	structure	structure	NOUN
fcis-15810	92	19	for	for	ADP
fcis-15810	92	20	the	the	DET
fcis-15810	92	21	dosimetric	dosimetric	ADJ
fcis-15810	92	22	evaluation	evaluation	NOUN
fcis-15810	92	23	of	of	ADP
fcis-15810	92	24	cervical	cervical	ADJ
fcis-15810	92	25	cancer	cancer	NOUN
fcis-15810	92	26	radiotherapy	radiotherapy	NOUN
fcis-15810	92	27	program	program	NOUN
fcis-15810	92	28	.	.	PUNCT
fcis-15810	93	1	the	the	DET
fcis-15810	93	2	traditional	traditional	ADJ
fcis-15810	93	3	dvh	dvh	NOUN
fcis-15810	93	4	prediction	prediction	NOUN
fcis-15810	93	5	method	method	NOUN
fcis-15810	93	6	is	be	AUX
fcis-15810	93	7	based	base	VERB
fcis-15810	93	8	on	on	ADP
fcis-15810	93	9	the	the	DET
fcis-15810	93	10	artificial	artificial	ADJ
fcis-15810	93	11	design	design	NOUN
fcis-15810	93	12	of	of	ADP
fcis-15810	93	13	geometric	geometric	ADJ
fcis-15810	93	14	operators	operator	NOUN
fcis-15810	93	15	,	,	PUNCT
fcis-15810	93	16	this	this	DET
fcis-15810	93	17	method	method	NOUN
fcis-15810	93	18	has	have	VERB
fcis-15810	93	19	great	great	ADJ
fcis-15810	93	20	limitations	limitation	NOUN
fcis-15810	93	21	in	in	ADP
fcis-15810	93	22	dealing	deal	VERB
fcis-15810	93	23	with	with	ADP
fcis-15810	93	24	the	the	DET
fcis-15810	93	25	complex	complex	ADJ
fcis-15810	93	26	three	three	NUM
fcis-15810	93	27	-	-	PUNCT
fcis-15810	93	28	dimensional	dimensional	ADJ
fcis-15810	93	29	relationship	relationship	NOUN
fcis-15810	93	30	of	of	ADP
fcis-15810	93	31	multiple	multiple	ADJ
fcis-15810	93	32	organs	organ	NOUN
fcis-15810	93	33	at	at	ADP
fcis-15810	93	34	risk	risk	NOUN
fcis-15810	93	35	.	.	PUNCT
fcis-15810	94	1	therefore	therefore	ADV
fcis-15810	94	2	,	,	PUNCT
fcis-15810	94	3	this	this	DET
fcis-15810	94	4	paper	paper	NOUN
fcis-15810	94	5	designed	design	VERB
fcis-15810	94	6	an	an	DET
fcis-15810	94	7	mcs	mcs	PROPN
fcis-15810	94	8	-	-	PUNCT
fcis-15810	94	9	sem	sem	PROPN
fcis-15810	94	10	structure	structure	NOUN
fcis-15810	94	11	,	,	PUNCT
fcis-15810	94	12	which	which	PRON
fcis-15810	94	13	includes	include	VERB
fcis-15810	94	14	both	both	DET
fcis-15810	94	15	channels	channel	NOUN
fcis-15810	94	16	and	and	CCONJ
fcis-15810	94	17	space	space	NOUN
fcis-15810	94	18	compression	compression	NOUN
fcis-15810	94	19	excitation	excitation	NOUN
fcis-15810	94	20	modules	module	NOUN
fcis-15810	94	21	,	,	PUNCT
fcis-15810	94	22	which	which	PRON
fcis-15810	94	23	can	can	AUX
fcis-15810	94	24	retain	retain	VERB
fcis-15810	94	25	comprehensive	comprehensive	ADJ
fcis-15810	94	26	spatial	spatial	ADJ
fcis-15810	94	27	information	information	NOUN
fcis-15810	94	28	at	at	ADP
fcis-15810	94	29	a	a	DET
fcis-15810	94	30	low	low	ADJ
fcis-15810	94	31	computational	computational	ADJ
fcis-15810	94	32	cost	cost	NOUN
fcis-15810	94	33	,	,	PUNCT
fcis-15810	94	34	and	and	CCONJ
fcis-15810	94	35	use	use	VERB
fcis-15810	94	36	distance	distance	NOUN
fcis-15810	94	37	images	image	NOUN
fcis-15810	94	38	to	to	PART
fcis-15810	94	39	characterize	characterize	VERB
fcis-15810	94	40	spatial	spatial	ADJ
fcis-15810	94	41	geometric	geometric	ADJ
fcis-15810	94	42	relationships	relationship	NOUN
fcis-15810	94	43	of	of	ADP
fcis-15810	94	44	multi	multi	ADJ
fcis-15810	94	45	-	-	ADJ
fcis-15810	94	46	endangered	endangered	ADJ
fcis-15810	94	47	organs	organ	NOUN
fcis-15810	94	48	,	,	PUNCT
fcis-15810	94	49	directly	directly	ADV
fcis-15810	94	50	using	use	VERB
fcis-15810	94	51	three	three	NUM
fcis-15810	94	52	-	-	PUNCT
fcis-15810	94	53	dimensional	dimensional	ADJ
fcis-15810	94	54	image	image	NOUN
fcis-15810	94	55	data	datum	NOUN
fcis-15810	94	56	as	as	ADP
fcis-15810	94	57	the	the	DET
fcis-15810	94	58	original	original	ADJ
fcis-15810	94	59	input	input	NOUN
fcis-15810	94	60	of	of	ADP
fcis-15810	94	61	the	the	DET
fcis-15810	94	62	network	network	NOUN
fcis-15810	94	63	.	.	PUNCT
fcis-15810	95	1	thus	thus	ADV
fcis-15810	95	2	,	,	PUNCT
fcis-15810	95	3	the	the	DET
fcis-15810	95	4	limitation	limitation	NOUN
fcis-15810	95	5	brought	bring	VERB
fcis-15810	95	6	by	by	ADP
fcis-15810	95	7	manual	manual	ADJ
fcis-15810	95	8	design	design	NOUN
fcis-15810	95	9	of	of	ADP
fcis-15810	95	10	geometric	geometric	ADJ
fcis-15810	95	11	operators	operator	NOUN
fcis-15810	95	12	is	be	AUX
fcis-15810	95	13	avoided	avoid	VERB
fcis-15810	95	14	.	.	PUNCT
fcis-15810	96	1	in	in	ADP
fcis-15810	96	2	conclusion	conclusion	NOUN
fcis-15810	96	3	,	,	PUNCT
fcis-15810	96	4	this	this	DET
fcis-15810	96	5	study	study	NOUN
fcis-15810	96	6	provides	provide	VERB
fcis-15810	96	7	a	a	DET
fcis-15810	96	8	new	new	ADJ
fcis-15810	96	9	method	method	NOUN
fcis-15810	96	10	for	for	ADP
fcis-15810	96	11	dosimetric	dosimetric	ADJ
fcis-15810	96	12	evaluation	evaluation	NOUN
fcis-15810	96	13	of	of	ADP
fcis-15810	96	14	cervical	cervical	ADJ
fcis-15810	96	15	cancer	cancer	NOUN
fcis-15810	96	16	radiation	radiation	NOUN
fcis-15810	96	17	therapy	therapy	NOUN
fcis-15810	96	18	plans	plan	NOUN
fcis-15810	96	19	,	,	PUNCT
fcis-15810	96	20	which	which	PRON
fcis-15810	96	21	can	can	AUX
fcis-15810	96	22	not	not	PART
fcis-15810	96	23	only	only	ADV
fcis-15810	96	24	better	well	ADV
fcis-15810	96	25	characterize	characterize	VERB
fcis-15810	96	26	the	the	DET
fcis-15810	96	27	complex	complex	ADJ
fcis-15810	96	28	three	three	NUM
fcis-15810	96	29	-	-	PUNCT
fcis-15810	96	30	dimensional	dimensional	ADJ
fcis-15810	96	31	relationship	relationship	NOUN
fcis-15810	96	32	of	of	ADP
fcis-15810	96	33	multiple	multiple	ADJ
fcis-15810	96	34	organs	organ	NOUN
fcis-15810	96	35	at	at	ADP
fcis-15810	96	36	risk	risk	NOUN
fcis-15810	96	37	,	,	PUNCT
fcis-15810	96	38	but	but	CCONJ
fcis-15810	96	39	also	also	ADV
fcis-15810	96	40	predict	predict	VERB
fcis-15810	96	41	dvh	dvh	NOUN
fcis-15810	96	42	more	more	ADV
fcis-15810	96	43	accurately	accurately	ADV
fcis-15810	96	44	,	,	PUNCT
fcis-15810	96	45	helping	help	VERB
fcis-15810	96	46	radiologists	radiologist	NOUN
fcis-15810	96	47	to	to	PART
fcis-15810	96	48	evaluate	evaluate	VERB
fcis-15810	96	49	the	the	DET
fcis-15810	96	50	quality	quality	NOUN
fcis-15810	96	51	of	of	ADP
fcis-15810	96	52	cervical	cervical	ADJ
fcis-15810	96	53	cancer	cancer	NOUN
fcis-15810	96	54	radiation	radiation	NOUN
fcis-15810	96	55	therapy	therapy	NOUN
fcis-15810	96	56	plans	plan	NOUN
fcis-15810	96	57	.	.	PUNCT
fcis-15810	97	1	in	in	ADP
fcis-15810	97	2	summary	summary	NOUN
fcis-15810	97	3	,	,	PUNCT
fcis-15810	97	4	the	the	DET
fcis-15810	97	5	application	application	NOUN
fcis-15810	97	6	of	of	ADP
fcis-15810	97	7	ai	ai	NOUN
fcis-15810	97	8	in	in	ADP
fcis-15810	97	9	cervical	cervical	ADJ
fcis-15810	97	10	cancer	cancer	NOUN
fcis-15810	97	11	screening	screening	NOUN
fcis-15810	97	12	and	and	CCONJ
fcis-15810	97	13	diagnosis	diagnosis	NOUN
fcis-15810	97	14	can	can	AUX
fcis-15810	97	15	improve	improve	VERB
fcis-15810	97	16	the	the	DET
fcis-15810	97	17	specificity	specificity	NOUN
fcis-15810	97	18	and	and	CCONJ
fcis-15810	97	19	64	64	NUM
fcis-15810	97	20	sensitivity	sensitivity	NOUN
fcis-15810	97	21	of	of	ADP
fcis-15810	97	22	cervical	cervical	ADJ
fcis-15810	97	23	cancer	cancer	NOUN
fcis-15810	97	24	screening	screening	NOUN
fcis-15810	97	25	and	and	CCONJ
fcis-15810	97	26	diagnosis	diagnosis	NOUN
fcis-15810	97	27	.	.	PUNCT
fcis-15810	98	1	in	in	ADP
fcis-15810	98	2	the	the	DET
fcis-15810	98	3	first	first	ADJ
fcis-15810	98	4	stage	stage	NOUN
fcis-15810	98	5	of	of	ADP
fcis-15810	98	6	screening	screen	VERB
fcis-15810	98	7	,	,	PUNCT
fcis-15810	98	8	ai	ai	AUX
fcis-15810	98	9	-	-	PUNCT
fcis-15810	98	10	assisted	assist	VERB
fcis-15810	98	11	hpv	hpv	NOUN
fcis-15810	98	12	testing	testing	NOUN
fcis-15810	98	13	and	and	CCONJ
fcis-15810	98	14	cytological	cytological	ADJ
fcis-15810	98	15	examination	examination	NOUN
fcis-15810	98	16	of	of	ADP
fcis-15810	98	17	cervical	cervical	ADJ
fcis-15810	98	18	detachment	detachment	NOUN
fcis-15810	98	19	can	can	AUX
fcis-15810	98	20	improve	improve	VERB
fcis-15810	98	21	diagnostic	diagnostic	ADJ
fcis-15810	98	22	accuracy	accuracy	NOUN
fcis-15810	98	23	and	and	CCONJ
fcis-15810	98	24	reduce	reduce	VERB
fcis-15810	98	25	unnecessary	unnecessary	ADJ
fcis-15810	98	26	colposcopic	colposcopic	PROPN
fcis-15810	98	27	triage	triage	NOUN
fcis-15810	98	28	.	.	PUNCT
fcis-15810	99	1	ai	ai	AUX
fcis-15810	99	2	-	-	PUNCT
fcis-15810	99	3	assisted	assist	VERB
fcis-15810	99	4	cytology	cytology	NOUN
fcis-15810	99	5	diagnosis	diagnosis	NOUN
fcis-15810	99	6	is	be	AUX
fcis-15810	99	7	not	not	PART
fcis-15810	99	8	limited	limit	VERB
fcis-15810	99	9	by	by	ADP
fcis-15810	99	10	time	time	NOUN
fcis-15810	99	11	,	,	PUNCT
fcis-15810	99	12	and	and	CCONJ
fcis-15810	99	13	can	can	AUX
fcis-15810	99	14	be	be	AUX
fcis-15810	99	15	used	use	VERB
fcis-15810	99	16	to	to	PART
fcis-15810	99	17	screen	screen	VERB
fcis-15810	99	18	a	a	DET
fcis-15810	99	19	large	large	ADJ
fcis-15810	99	20	number	number	NOUN
fcis-15810	99	21	of	of	ADP
fcis-15810	99	22	normal	normal	ADJ
fcis-15810	99	23	cervical	cervical	ADJ
fcis-15810	99	24	smears	smear	NOUN
fcis-15810	99	25	.	.	PUNCT
fcis-15810	100	1	according	accord	VERB
fcis-15810	100	2	to	to	ADP
fcis-15810	100	3	statistics	statistic	NOUN
fcis-15810	100	4	,	,	PUNCT
fcis-15810	100	5	cervical	cervical	ADJ
fcis-15810	100	6	cytology	cytology	NOUN
fcis-15810	100	7	results	result	NOUN
fcis-15810	100	8	are	be	AUX
fcis-15810	100	9	negative	negative	ADJ
fcis-15810	100	10	,	,	PUNCT
fcis-15810	100	11	accounting	account	VERB
fcis-15810	100	12	for	for	ADP
fcis-15810	100	13	more	more	ADJ
fcis-15810	100	14	than	than	ADP
fcis-15810	100	15	99.5	99.5	NUM
fcis-15810	100	16	%	%	NOUN
fcis-15810	100	17	;	;	PUNCT
fcis-15810	100	18	at	at	ADP
fcis-15810	100	19	the	the	DET
fcis-15810	100	20	same	same	ADJ
fcis-15810	100	21	time	time	NOUN
fcis-15810	100	22	,	,	PUNCT
fcis-15810	100	23	avoid	avoid	VERB
fcis-15810	100	24	the	the	DET
fcis-15810	100	25	influence	influence	NOUN
fcis-15810	100	26	of	of	ADP
fcis-15810	100	27	subjective	subjective	ADJ
fcis-15810	100	28	factors	factor	NOUN
fcis-15810	100	29	,	,	PUNCT
fcis-15810	100	30	reduce	reduce	VERB
fcis-15810	100	31	missed	missed	ADJ
fcis-15810	100	32	diagnosis	diagnosis	NOUN
fcis-15810	100	33	and	and	CCONJ
fcis-15810	100	34	misdiagnosis	misdiagnosis	NOUN
fcis-15810	100	35	;	;	PUNCT
fcis-15810	100	36	it	it	PRON
fcis-15810	100	37	is	be	AUX
fcis-15810	100	38	expected	expect	VERB
fcis-15810	100	39	to	to	PART
fcis-15810	100	40	solve	solve	VERB
fcis-15810	100	41	the	the	DET
fcis-15810	100	42	problem	problem	NOUN
fcis-15810	100	43	of	of	ADP
fcis-15810	100	44	the	the	DET
fcis-15810	100	45	lack	lack	NOUN
fcis-15810	100	46	of	of	ADP
fcis-15810	100	47	medical	medical	ADJ
fcis-15810	100	48	resources	resource	NOUN
fcis-15810	100	49	in	in	ADP
fcis-15810	100	50	remote	remote	ADJ
fcis-15810	100	51	areas	area	NOUN
fcis-15810	100	52	and	and	CCONJ
fcis-15810	100	53	realize	realize	VERB
fcis-15810	100	54	the	the	DET
fcis-15810	100	55	network	network	NOUN
fcis-15810	100	56	remote	remote	ADJ
fcis-15810	100	57	assisted	assist	VERB
fcis-15810	100	58	diagnosis	diagnosis	NOUN
fcis-15810	100	59	.	.	PUNCT
fcis-15810	101	1	ai	ai	AUX
fcis-15810	101	2	-	-	PUNCT
fcis-15810	101	3	assisted	assist	VERB
fcis-15810	101	4	colposcopy	colposcopy	NOUN
fcis-15810	101	5	can	can	AUX
fcis-15810	101	6	also	also	ADV
fcis-15810	101	7	avoid	avoid	VERB
fcis-15810	101	8	the	the	DET
fcis-15810	101	9	limitations	limitation	NOUN
fcis-15810	101	10	of	of	ADP
fcis-15810	101	11	subjective	subjective	ADJ
fcis-15810	101	12	factors	factor	NOUN
fcis-15810	101	13	,	,	PUNCT
fcis-15810	101	14	classify	classify	VERB
fcis-15810	101	15	colposcopic	colposcopic	NOUN
fcis-15810	101	16	pictures	picture	NOUN
fcis-15810	101	17	and	and	CCONJ
fcis-15810	101	18	mark	mark	VERB
fcis-15810	101	19	cervical	cervical	ADJ
fcis-15810	101	20	lesions	lesion	NOUN
fcis-15810	101	21	,	,	PUNCT
fcis-15810	101	22	guide	guide	NOUN
fcis-15810	101	23	colposcopists	colposcopist	NOUN
fcis-15810	101	24	to	to	PART
fcis-15810	101	25	perform	perform	VERB
fcis-15810	101	26	biopsies	biopsy	NOUN
fcis-15810	101	27	,	,	PUNCT
fcis-15810	101	28	and	and	CCONJ
fcis-15810	101	29	reduce	reduce	VERB
fcis-15810	101	30	missed	missed	ADJ
fcis-15810	101	31	diagnosis	diagnosis	NOUN
fcis-15810	101	32	.	.	PUNCT
fcis-15810	102	1	in	in	ADP
fcis-15810	102	2	imaging	imaging	NOUN
fcis-15810	102	3	examination	examination	NOUN
fcis-15810	102	4	,	,	PUNCT
fcis-15810	102	5	ai	ai	VERB
fcis-15810	102	6	model	model	NOUN
fcis-15810	102	7	not	not	PART
fcis-15810	102	8	only	only	ADV
fcis-15810	102	9	has	have	VERB
fcis-15810	102	10	the	the	DET
fcis-15810	102	11	function	function	NOUN
fcis-15810	102	12	of	of	ADP
fcis-15810	102	13	assisting	assist	VERB
fcis-15810	102	14	screening	screening	NOUN
fcis-15810	102	15	,	,	PUNCT
fcis-15810	102	16	but	but	CCONJ
fcis-15810	102	17	also	also	ADV
fcis-15810	102	18	can	can	AUX
fcis-15810	102	19	predict	predict	VERB
fcis-15810	102	20	vascular	vascular	ADJ
fcis-15810	102	21	metastasis	metastasis	NOUN
fcis-15810	102	22	,	,	PUNCT
fcis-15810	102	23	treatment	treatment	NOUN
fcis-15810	102	24	response	response	NOUN
fcis-15810	102	25	and	and	CCONJ
fcis-15810	102	26	recurrence	recurrence	NOUN
fcis-15810	102	27	,	,	PUNCT
fcis-15810	102	28	and	and	CCONJ
fcis-15810	102	29	assist	assist	VERB
fcis-15810	102	30	clinicians	clinician	NOUN
fcis-15810	102	31	to	to	PART
fcis-15810	102	32	adjust	adjust	VERB
fcis-15810	102	33	treatment	treatment	NOUN
fcis-15810	102	34	plans	plan	NOUN
fcis-15810	102	35	.	.	PUNCT
fcis-15810	103	1	the	the	DET
fcis-15810	103	2	limitations	limitation	NOUN
fcis-15810	103	3	of	of	ADP
fcis-15810	103	4	this	this	DET
fcis-15810	103	5	study	study	NOUN
fcis-15810	103	6	are	be	AUX
fcis-15810	103	7	as	as	SCONJ
fcis-15810	103	8	follows	follow	VERB
fcis-15810	103	9	:	:	PUNCT
fcis-15810	103	10	first	first	ADV
fcis-15810	103	11	,	,	PUNCT
fcis-15810	103	12	it	it	PRON
fcis-15810	103	13	is	be	AUX
fcis-15810	103	14	a	a	DET
fcis-15810	103	15	single	single	ADJ
fcis-15810	103	16	-	-	PUNCT
fcis-15810	103	17	center	center	NOUN
fcis-15810	103	18	study	study	NOUN
fcis-15810	103	19	with	with	ADP
fcis-15810	103	20	a	a	DET
fcis-15810	103	21	small	small	ADJ
fcis-15810	103	22	sample	sample	NOUN
fcis-15810	103	23	size	size	NOUN
fcis-15810	103	24	.	.	PUNCT
fcis-15810	104	1	due	due	ADP
fcis-15810	104	2	to	to	ADP
fcis-15810	104	3	differences	difference	NOUN
fcis-15810	104	4	in	in	ADP
fcis-15810	104	5	sketching	sketch	VERB
fcis-15810	104	6	principles	principle	NOUN
fcis-15810	104	7	,	,	PUNCT
fcis-15810	104	8	ct	ct	NUM
fcis-15810	104	9	scanning	scanning	NOUN
fcis-15810	104	10	modes	mode	NOUN
fcis-15810	104	11	,	,	PUNCT
fcis-15810	104	12	and	and	CCONJ
fcis-15810	104	13	emitter	emitter	NOUN
fcis-15810	104	14	placement	placement	NOUN
fcis-15810	104	15	methods	method	NOUN
fcis-15810	104	16	,	,	PUNCT
fcis-15810	104	17	the	the	DET
fcis-15810	104	18	generated	generate	VERB
fcis-15810	104	19	ai	ai	PROPN
fcis-15810	104	20	model	model	NOUN
fcis-15810	104	21	may	may	AUX
fcis-15810	104	22	not	not	PART
fcis-15810	104	23	meet	meet	VERB
fcis-15810	104	24	the	the	DET
fcis-15810	104	25	sketching	sketching	NOUN
fcis-15810	104	26	standards	standard	NOUN
fcis-15810	104	27	and	and	CCONJ
fcis-15810	104	28	habits	habit	NOUN
fcis-15810	104	29	of	of	ADP
fcis-15810	104	30	other	other	ADJ
fcis-15810	104	31	centers	center	NOUN
fcis-15810	104	32	,	,	PUNCT
fcis-15810	104	33	resulting	result	VERB
fcis-15810	104	34	in	in	ADP
fcis-15810	104	35	poor	poor	ADJ
fcis-15810	104	36	generality	generality	NOUN
fcis-15810	104	37	.	.	PUNCT
fcis-15810	105	1	in	in	ADP
fcis-15810	105	2	the	the	DET
fcis-15810	105	3	future	future	NOUN
fcis-15810	105	4	,	,	PUNCT
fcis-15810	105	5	multi	multi	ADJ
fcis-15810	105	6	-	-	ADJ
fcis-15810	105	7	center	center	ADJ
fcis-15810	105	8	cooperation	cooperation	NOUN
fcis-15810	105	9	is	be	AUX
fcis-15810	105	10	needed	need	VERB
fcis-15810	105	11	to	to	PART
fcis-15810	105	12	jointly	jointly	ADV
fcis-15810	105	13	determine	determine	VERB
fcis-15810	105	14	the	the	DET
fcis-15810	105	15	delineation	delineation	NOUN
fcis-15810	105	16	criteria	criterion	NOUN
fcis-15810	105	17	,	,	PUNCT
fcis-15810	105	18	and	and	CCONJ
fcis-15810	105	19	train	train	VERB
fcis-15810	105	20	the	the	DET
fcis-15810	105	21	model	model	NOUN
fcis-15810	105	22	with	with	ADP
fcis-15810	105	23	a	a	DET
fcis-15810	105	24	larger	large	ADJ
fcis-15810	105	25	multi	multi	ADJ
fcis-15810	105	26	-	-	ADJ
fcis-15810	105	27	center	center	ADJ
fcis-15810	105	28	data	datum	NOUN
fcis-15810	105	29	set	set	VERB
fcis-15810	105	30	to	to	PART
fcis-15810	105	31	make	make	VERB
fcis-15810	105	32	it	it	PRON
fcis-15810	105	33	more	more	ADV
fcis-15810	105	34	versatile	versatile	ADJ
fcis-15810	105	35	.	.	PUNCT
fcis-15810	106	1	second	second	ADV
fcis-15810	106	2	,	,	PUNCT
fcis-15810	106	3	the	the	DET
fcis-15810	106	4	clinical	clinical	ADJ
fcis-15810	106	5	score	score	NOUN
fcis-15810	106	6	is	be	AUX
fcis-15810	106	7	a	a	DET
fcis-15810	106	8	subjective	subjective	ADJ
fcis-15810	106	9	judgment	judgment	NOUN
fcis-15810	106	10	of	of	ADP
fcis-15810	106	11	the	the	DET
fcis-15810	106	12	evaluator	evaluator	NOUN
fcis-15810	106	13	,	,	PUNCT
fcis-15810	106	14	and	and	CCONJ
fcis-15810	106	15	although	although	SCONJ
fcis-15810	106	16	most	most	ADJ
fcis-15810	106	17	of	of	ADP
fcis-15810	106	18	the	the	DET
fcis-15810	106	19	sketched	sketched	ADJ
fcis-15810	106	20	results	result	NOUN
fcis-15810	106	21	can	can	AUX
fcis-15810	106	22	be	be	AUX
fcis-15810	106	23	used	use	VERB
fcis-15810	106	24	clinically	clinically	ADV
fcis-15810	106	25	,	,	PUNCT
fcis-15810	106	26	they	they	PRON
fcis-15810	106	27	still	still	ADV
fcis-15810	106	28	need	need	VERB
fcis-15810	106	29	to	to	PART
fcis-15810	106	30	be	be	AUX
fcis-15810	106	31	considered	consider	VERB
fcis-15810	106	32	in	in	ADP
fcis-15810	106	33	the	the	DET
fcis-15810	106	34	context	context	NOUN
fcis-15810	106	35	of	of	ADP
fcis-15810	106	36	the	the	DET
fcis-15810	106	37	actual	actual	ADJ
fcis-15810	106	38	dose	dose	NOUN
fcis-15810	106	39	distribution	distribution	NOUN
fcis-15810	106	40	and	and	CCONJ
fcis-15810	106	41	normal	normal	ADJ
fcis-15810	106	42	tissue	tissue	NOUN
fcis-15810	106	43	toxicity	toxicity	NOUN
fcis-15810	106	44	.	.	PUNCT
fcis-15810	107	1	finally	finally	ADV
fcis-15810	107	2	,	,	PUNCT
fcis-15810	107	3	the	the	DET
fcis-15810	107	4	amount	amount	NOUN
fcis-15810	107	5	of	of	ADP
fcis-15810	107	6	data	datum	NOUN
fcis-15810	107	7	used	use	VERB
fcis-15810	107	8	to	to	PART
fcis-15810	107	9	evaluate	evaluate	VERB
fcis-15810	107	10	wdsc	wdsc	NOUN
fcis-15810	107	11	is	be	AUX
fcis-15810	107	12	small	small	ADJ
fcis-15810	107	13	,	,	PUNCT
fcis-15810	107	14	and	and	CCONJ
fcis-15810	107	15	although	although	SCONJ
fcis-15810	107	16	wdsc	wdsc	NOUN
fcis-15810	107	17	and	and	CCONJ
fcis-15810	107	18	ad2cc	ad2cc	VERB
fcis-15810	107	19	are	be	AUX
fcis-15810	107	20	significantly	significantly	ADV
fcis-15810	107	21	correlated	correlate	VERB
fcis-15810	107	22	,	,	PUNCT
fcis-15810	107	23	larger	large	ADJ
fcis-15810	107	24	sample	sample	NOUN
fcis-15810	107	25	size	size	NOUN
fcis-15810	107	26	validation	validation	NOUN
fcis-15810	107	27	is	be	AUX
fcis-15810	107	28	needed	need	VERB
fcis-15810	107	29	.	.	PUNCT
fcis-15810	108	1	finally	finally	ADV
fcis-15810	108	2	,	,	PUNCT
fcis-15810	108	3	this	this	DET
fcis-15810	108	4	study	study	NOUN
fcis-15810	108	5	did	do	AUX
fcis-15810	108	6	not	not	PART
fcis-15810	108	7	use	use	VERB
fcis-15810	108	8	the	the	DET
fcis-15810	108	9	resu	resu	NOUN
fcis-15810	108	10	-	-	ADJ
fcis-15810	108	11	net	net	ADJ
fcis-15810	108	12	model	model	NOUN
fcis-15810	108	13	trained	train	VERB
fcis-15810	108	14	by	by	ADP
fcis-15810	108	15	flectcher	flectcher	PROPN
fcis-15810	108	16	emitter	emitter	NOUN
fcis-15810	108	17	igbt	igbt	PROPN
fcis-15810	108	18	to	to	PART
fcis-15810	108	19	calculate	calculate	VERB
fcis-15810	108	20	wdsc	wdsc	ADV
fcis-15810	108	21	,	,	PUNCT
fcis-15810	108	22	so	so	CCONJ
fcis-15810	108	23	it	it	PRON
fcis-15810	108	24	is	be	AUX
fcis-15810	108	25	not	not	PART
fcis-15810	108	26	possible	possible	ADJ
fcis-15810	108	27	to	to	PART
fcis-15810	108	28	verify	verify	VERB
fcis-15810	108	29	the	the	DET
fcis-15810	108	30	correlation	correlation	NOUN
fcis-15810	108	31	between	between	ADP
fcis-15810	108	32	wdsc	wdsc	PROPN
fcis-15810	108	33	and	and	CCONJ
fcis-15810	108	34	d2cc	d2cc	VERB
fcis-15810	108	35	differences	difference	NOUN
fcis-15810	108	36	.	.	PUNCT
fcis-15810	109	1	acknowledgments	acknowledgment	NOUN
fcis-15810	109	2	image	image	NOUN
fcis-15810	109	3	recognition	recognition	NOUN
fcis-15810	109	4	technology	technology	NOUN
fcis-15810	109	5	holds	hold	VERB
fcis-15810	109	6	crucial	crucial	ADJ
fcis-15810	109	7	application	application	NOUN
fcis-15810	109	8	value	value	NOUN
fcis-15810	109	9	in	in	ADP
fcis-15810	109	10	the	the	DET
fcis-15810	109	11	field	field	NOUN
fcis-15810	109	12	of	of	ADP
fcis-15810	109	13	mechanical	mechanical	ADJ
fcis-15810	109	14	industry	industry	NOUN
fcis-15810	109	15	,	,	PUNCT
fcis-15810	109	16	such	such	ADJ
fcis-15810	109	17	as	as	ADP
fcis-15810	109	18	in	in	ADP
fcis-15810	109	19	the	the	DET
fcis-15810	109	20	robotic	robotic	ADJ
fcis-15810	109	21	arms	arm	NOUN
fcis-15810	109	22	on	on	ADP
fcis-15810	109	23	automobile	automobile	NOUN
fcis-15810	109	24	production	production	NOUN
fcis-15810	109	25	lines	line	NOUN
fcis-15810	109	26	.	.	PUNCT
fcis-15810	110	1	we	we	PRON
fcis-15810	110	2	appreciate	appreciate	VERB
fcis-15810	110	3	the	the	DET
fcis-15810	110	4	specialized	specialized	ADJ
fcis-15810	110	5	knowledge	knowledge	NOUN
fcis-15810	110	6	provided	provide	VERB
fcis-15810	110	7	by	by	ADP
fcis-15810	110	8	bo	bo	PROPN
fcis-15810	110	9	liu	liu	PROPN
fcis-15810	110	10	and	and	CCONJ
fcis-15810	110	11	chang	chang	PROPN
fcis-15810	110	12	che	che	PROPN
fcis-15810	110	13	in	in	ADP
fcis-15810	110	14	mechanical	mechanical	ADJ
fcis-15810	110	15	and	and	CCONJ
fcis-15810	110	16	computer	computer	NOUN
fcis-15810	110	17	vision	vision	NOUN
fcis-15810	110	18	-	-	PUNCT
fcis-15810	110	19	related	relate	VERB
fcis-15810	110	20	areas	area	NOUN
fcis-15810	110	21	.	.	PUNCT
fcis-15810	111	1	their	their	PRON
fcis-15810	111	2	research	research	NOUN
fcis-15810	111	3	in	in	ADP
fcis-15810	111	4	the	the	DET
fcis-15810	111	5	detection	detection	NOUN
fcis-15810	111	6	of	of	ADP
fcis-15810	111	7	defects	defect	NOUN
fcis-15810	111	8	in	in	ADP
fcis-15810	111	9	industrial	industrial	ADJ
fcis-15810	111	10	castings	casting	NOUN
fcis-15810	111	11	and	and	CCONJ
fcis-15810	111	12	vehicles	vehicle	NOUN
fcis-15810	111	13	’	'	PUNCT
fcis-15810	111	14	components	component	NOUN
fcis-15810	111	15	using	use	VERB
fcis-15810	111	16	artificial	artificial	ADJ
fcis-15810	111	17	intelligence	intelligence	NOUN
fcis-15810	111	18	provides	provide	VERB
fcis-15810	111	19	us	we	PRON
fcis-15810	111	20	with	with	ADP
fcis-15810	111	21	significant	significant	ADJ
fcis-15810	111	22	guidance	guidance	NOUN
fcis-15810	111	23	in	in	ADP
fcis-15810	111	24	this	this	DET
fcis-15810	111	25	field	field	NOUN
fcis-15810	111	26	.	.	PUNCT
fcis-15810	112	1	references	reference	NOUN
fcis-15810	112	2	[	[	X
fcis-15810	112	3	1	1	X
fcis-15810	112	4	]	]	PUNCT
fcis-15810	112	5	yanagawa	yanagawa	PROPN
fcis-15810	112	6	mea.diagnostic	mea.diagnostic	ADJ
fcis-15810	112	7	performance	performance	NOUN
fcis-15810	112	8	for	for	ADP
fcis-15810	112	9	pulmonary	pulmonary	ADJ
fcis-15810	112	10	adenocarcinoma	adenocarcinoma	NOUN
fcis-15810	112	11	on	on	ADP
fcis-15810	112	12	ct	ct	PROPN
fcis-15810	112	13	:	:	PUNCT
fcis-15810	112	14	comparison	comparison	NOUN
fcis-15810	112	15	of	of	ADP
fcis-15810	112	16	radiologists	radiologist	NOUN
fcis-15810	112	17	with	with	ADP
fcis-15810	112	18	andwithout	andwithout	ADJ
fcis-15810	112	19	three	three	NUM
fcis-15810	112	20	dimensional	dimensional	ADJ
fcis-15810	112	21	convolutional	convolutional	ADJ
fcis-15810	112	22	neural	neural	ADJ
fcis-15810	112	23	network	network	NOUN
fcis-15810	112	24	.	.	PUNCT
fcis-15810	113	1	eur	eur	PROPN
fcis-15810	113	2	radiol,2020	radiol,2020	VERB
fcis-15810	113	3	:	:	PUNCT
fcis-15810	113	4	1	1	NUM
fcis-15810	113	5	-	-	SYM
fcis-15810	113	6	9	9	NUM
fcis-15810	113	7	.	.	PUNCT
fcis-15810	114	1	[	[	X
fcis-15810	114	2	2	2	X
fcis-15810	114	3	]	]	X
fcis-15810	114	4	jiang	jiang	PROPN
fcis-15810	114	5	m	m	PROPN
fcis-15810	114	6	,	,	PUNCT
fcis-15810	114	7	zhang	zhang	PROPN
fcis-15810	114	8	d	d	PROPN
fcis-15810	114	9	,	,	PUNCT
fcis-15810	114	10	tang	tang	PROPN
fcis-15810	114	11	s	s	PART
fcis-15810	114	12	c	c	NOUN
fcis-15810	114	13	,	,	PUNCT
fcis-15810	114	14	et	et	NOUN
fcis-15810	114	15	al.deep	al.deep	ADP
fcis-15810	114	16	learning	learn	VERB
fcis-15810	114	17	with	with	ADP
fcis-15810	114	18	convolutional	convolutional	ADJ
fcis-15810	114	19	neural	neural	ADJ
fcis-15810	114	20	network	network	NOUN
fcis-15810	114	21	in	in	ADP
fcis-15810	114	22	the	the	DET
fcis-15810	114	23	assessment	assessment	NOUN
fcis-15810	114	24	of	of	ADP
fcis-15810	114	25	breast	breast	NOUN
fcis-15810	114	26	cancermolecular	cancermolecular	ADJ
fcis-15810	114	27	subtypes	subtype	NOUN
fcis-15810	114	28	based	base	VERB
fcis-15810	114	29	on	on	ADP
fcis-15810	114	30	us	us	PROPN
fcis-15810	114	31	images	image	NOUN
fcis-15810	114	32	:	:	PUNCT
fcis-15810	114	33	a	a	DET
fcis-15810	114	34	multicenter	multicenter	ADJ
fcis-15810	114	35	ret	ret	ADJ
fcis-15810	114	36	-	-	PUNCT
fcis-15810	114	37	rospective	rospective	ADJ
fcis-15810	114	38	study	study	NOUN
fcis-15810	114	39	.eur	.eur	PUNCT
fcis-15810	115	1	radiol,2021	radiol,2021	INTJ
fcis-15810	115	2	,	,	PUNCT
fcis-15810	115	3	31	31	NUM
fcis-15810	115	4	(	(	PUNCT
fcis-15810	115	5	6	6	NUM
fcis-15810	115	6	)	)	PUNCT
fcis-15810	115	7	:	:	PUNCT
fcis-15810	115	8	3673	3673	NUM
fcis-15810	115	9	-	-	SYM
fcis-15810	115	10	3682	3682	NUM
fcis-15810	115	11	.	.	PUNCT
fcis-15810	116	1	[	[	X
fcis-15810	116	2	3	3	X
fcis-15810	116	3	]	]	X
fcis-15810	116	4	takahashi	takahashi	PROPN
fcis-15810	116	5	y	y	PROPN
fcis-15810	116	6	sone	sone	PROPN
fcis-15810	116	7	k	k	PROPN
fcis-15810	116	8	,	,	PUNCT
fcis-15810	116	9	noda	noda	PROPN
fcis-15810	116	10	k	k	PROPN
fcis-15810	116	11	,	,	PUNCT
fcis-15810	116	12	et	et	PROPN
fcis-15810	116	13	al	al	PROPN
fcis-15810	116	14	.	.	PROPN
fcis-15810	116	15	automated	automate	VERB
fcis-15810	116	16	system	system	NOUN
fcis-15810	116	17	fordiagnosing	fordiagnose	VERB
fcis-15810	116	18	endometrial	endometrial	ADJ
fcis-15810	116	19	cancer	cancer	NOUN
fcis-15810	116	20	by	by	ADP
fcis-15810	116	21	adopting	adopt	VERB
fcis-15810	116	22	deepearningtechnology	deepearningtechnology	NOUN
fcis-15810	116	23	in	in	ADP
fcis-15810	116	24	hysteroscopy	hysteroscopy	NOUN
fcis-15810	116	25	[	[	X
fcis-15810	116	26	.plos	.plos	ADP
fcis-15810	116	27	one	one	NUM
fcis-15810	116	28	,	,	PUNCT
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fcis-15810	117	18	us	us	PROPN
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fcis-15810	117	20	services	service	NOUN
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fcis-15810	117	24	.	.	PUNCT
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fcis-15810	118	8	-	-	SYM
fcis-15810	118	9	686	686	NUM
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fcis-15810	119	35	:	:	PUNCT
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fcis-15810	136	3	]	]	SYM
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fcis-15810	136	11	cai	cai	PROPN
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fcis-15810	136	23	.	.	PUNCT
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fcis-15810	137	12	group	group	NOUN
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fcis-15810	137	16	"	"	PUNCT
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fcis-15810	138	13	iccece	iccece	PROPN
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fcis-15810	139	2	-	-	SYM
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fcis-15810	139	4	.	.	PUNCT
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fcis-15810	140	2	,	,	PUNCT
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fcis-15810	140	4	.	.	PUNCT
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fcis-15810	141	6	.	.	PUNCT
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fcis-15810	142	12	.	.	PROPN
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fcis-15810	142	14	,	,	PUNCT
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fcis-15810	142	21	stepless	stepless	NOUN
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fcis-15810	142	24	system	system	NOUN
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fcis-15810	142	42	(	(	PUNCT
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fcis-15810	142	47	-	-	SYM
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fcis-15810	142	49	.	.	PUNCT
fcis-15810	143	1	[	[	X
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fcis-15810	143	9	.	.	PUNCT
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fcis-15810	144	5	(	(	PUNCT
fcis-15810	144	6	china	china	PROPN
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fcis-15810	151	8	8(1	8(1	NOUN
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fcis-15810	154	4	,	,	PUNCT
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fcis-15810	154	10	5584004	5584004	NUM
fcis-15810	154	11	.	.	PUNCT
fcis-15810	155	1	[	[	X
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fcis-15810	157	9	,	,	PUNCT
fcis-15810	157	10	3	3	NUM
fcis-15810	157	11	(	(	PUNCT
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fcis-15810	157	15	,	,	PUNCT
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fcis-15810	157	17	:	:	PUNCT
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