{"id":"https://openalex.org/W4313525365","doi":"https://doi.org/10.1109/bibm55620.2022.9995690","title":"Deep 3D Vessel Segmentation based on Cross Transformer Network","display_name":"Deep 3D Vessel Segmentation based on Cross Transformer Network","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525365","doi":"https://doi.org/10.1109/bibm55620.2022.9995690"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995690","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030668126","display_name":"Chengwei Pan","orcid":"https://orcid.org/0000-0003-0497-7903"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengwei Pan","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University,Beijing,China","Institute of Artificial Intelligence, Beihang University, Beijing, China","Zhongguancun Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032712717","display_name":"Baolian Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baolian Qi","raw_affiliation_strings":["University of Chinese Academy of Sciences (UCAS),HwaMei Hospital,Ningbo,China","Ningbo Institute of Life and Health Industry, UCAS, Ningbo, China","HwaMei Hospital, University of Chinese Academy of Sciences (UCAS), Ningbo, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS),HwaMei Hospital,Ningbo,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Ningbo Institute of Life and Health Industry, UCAS, Ningbo, China","institution_ids":[]},{"raw_affiliation_string":"HwaMei Hospital, University of Chinese Academy of Sciences (UCAS), Ningbo, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073574475","display_name":"Gangming Zhao","orcid":"https://orcid.org/0000-0001-8441-5462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gangming Zhao","raw_affiliation_strings":["Deepwise AI Lab,Beijing,China","Deepwise AI Lab, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Deepwise AI Lab,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Deepwise AI Lab, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032858379","display_name":"Jiaheng Liu","orcid":"https://orcid.org/0000-0002-5183-8538"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaheng Liu","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University,Beijing,China","Institute of Artificial Intelligence, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003019748","display_name":"Chaowei Fang","orcid":"https://orcid.org/0000-0001-8805-9792"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaowei Fang","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954574","display_name":"Dingwen Zhang","orcid":"https://orcid.org/0000-0001-8369-8886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dingwen Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,China","Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,China","institution_ids":[]},{"raw_affiliation_string":"Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100782319","display_name":"Jinpeng Li","orcid":"https://orcid.org/0000-0003-1752-8883"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Li","raw_affiliation_strings":["University of Chinese Academy of Sciences (UCAS),HwaMei Hospital,Ningbo,China","HwaMei Hospital, University of Chinese Academy of Sciences (UCAS), Ningbo, China","Ningbo Institute of Life and Health Industry, UCAS, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS),HwaMei Hospital,Ningbo,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"HwaMei Hospital, University of Chinese Academy of Sciences (UCAS), Ningbo, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Ningbo Institute of Life and Health Industry, UCAS, Ningbo, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5030668126"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.7196,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1115","last_page":"1120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8329113125801086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447067499160767},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6348040103912354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378431677818298},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4832378327846527},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4438271224498749},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43606263399124146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36991816759109497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34451085329055786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3278847336769104},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14665046334266663},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08231103420257568}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8329113125801086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447067499160767},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6348040103912354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378431677818298},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4832378327846527},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4438271224498749},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43606263399124146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36991816759109497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34451085329055786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3278847336769104},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14665046334266663},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08231103420257568},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995690","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2015159529","https://openalex.org/W2463818697","https://openalex.org/W2464708700","https://openalex.org/W2604785265","https://openalex.org/W2884436604","https://openalex.org/W2899771611","https://openalex.org/W2962716426","https://openalex.org/W2963091558","https://openalex.org/W2979436723","https://openalex.org/W2980236582","https://openalex.org/W3091511195","https://openalex.org/W3106532721","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3170841864","https://openalex.org/W3174708193","https://openalex.org/W3201808689","https://openalex.org/W3203841574","https://openalex.org/W3204255739","https://openalex.org/W3204614423","https://openalex.org/W4312560592","https://openalex.org/W4385245566","https://openalex.org/W6713128830","https://openalex.org/W6739901393","https://openalex.org/W6756040250","https://openalex.org/W6757817989","https://openalex.org/W6790275670"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"coronary":[1],"microvascular":[2],"disease":[3,19],"poses":[4],"a":[5,28,34,115,123],"great":[6],"threat":[7],"to":[8,40,122,125,138,144],"human":[9],"health.":[10],"Computer-aided":[11],"analysis/diagnosis":[12],"systems":[13],"help":[14],"physicians":[15],"intervene":[16],"in":[17,120],"the":[18,47,50,71,99,104,139,153,175],"at":[20,141,182],"early":[21],"stages,":[22],"where":[23],"3D":[24],"vessel":[25,64,79,111],"segmentation":[26,59,80],"is":[27,33,118],"fundamental":[29],"step.":[30],"However,":[31],"there":[32],"lack":[35],"of":[36,83],"carefully":[37],"annotated":[38],"dataset":[39],"support":[41],"algorithm":[42],"development":[43],"and":[44,57,85,133],"evaluation.":[45],"On":[46],"other":[48],"hand,":[49],"commonly-used":[51],"U-Net":[52,124,140],"structures":[53],"often":[54],"yield":[55],"disconnected":[56],"inaccurate":[58],"results,":[60],"especially":[61],"for":[62,109],"small":[63],"structures.":[65],"In":[66,113],"this":[67,159],"paper,":[68],"motivated":[69],"by":[70,94,165],"data":[72],"scarcity,":[73],"we":[74,101],"first":[75],"construct":[76],"two":[77,154],"large-scale":[78],"datasets":[81,156],"consisting":[82],"100":[84],"500":[86],"computed":[87],"tomography":[88],"(CT)":[89],"volumes":[90],"with":[91,147,174],"pixel-level":[92],"annotations":[93],"experienced":[95],"radiologists.":[96],"To":[97],"enhance":[98],"U-Net,":[100],"further":[102],"propose":[103],"cross":[105],"transformer":[106,116],"network":[107],"(CTN)":[108],"fine-grained":[110],"segmentation.":[112],"CTN,":[114],"module":[117],"constructed":[119],"parallel":[121],"learn":[126],"long-distance":[127],"dependencies":[128,135],"between":[129],"different":[130],"anatomical":[131],"regions;":[132],"these":[134],"are":[136,178],"communicated":[137],"multiple":[142],"stages":[143],"endow":[145],"it":[146],"global":[148],"awareness.":[149],"Experimental":[150],"results":[151],"on":[152],"in-house":[155],"indicate":[157],"that":[158],"hybrid":[160],"model":[161],"alleviates":[162],"unexpected":[163],"disconnections":[164],"considering":[166],"topological":[167],"information":[168],"across":[169],"regions.":[170],"Our":[171],"codes,":[172],"together":[173],"trained":[176],"models":[177],"made":[179],"publicly":[180],"available":[181],"https://github.com/qibaolian/ctn.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
