{"id":"https://openalex.org/W4308237317","doi":"https://doi.org/10.1109/icip46576.2022.9898038","title":"VCT-NET: An Octa Retinal Vessel Segmentation Network Based on Convolution and Transformer","display_name":"VCT-NET: An Octa Retinal Vessel Segmentation Network Based on Convolution and Transformer","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237317","doi":"https://doi.org/10.1109/icip46576.2022.9898038"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9898038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898038","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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 Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100409053","display_name":"Xiaoming Liu","orcid":"https://orcid.org/0000-0003-3467-5607"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Liu","raw_affiliation_strings":["Wuhan University of Science and Technology,School of Computer Science and Technology,Wuhan,China,430065","Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,School of Computer Science and Technology,Wuhan,China,430065","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366387","display_name":"Di Zhang","orcid":"https://orcid.org/0000-0002-2342-5779"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhang","raw_affiliation_strings":["Wuhan University of Science and Technology,School of Computer Science and Technology,Wuhan,China,430065","Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,School of Computer Science and Technology,Wuhan,China,430065","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105923667","display_name":"Xin Zhu","orcid":"https://orcid.org/0000-0002-4376-0806"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhu","raw_affiliation_strings":["Wuhan University of Science and Technology,School of Computer Science and Technology,Wuhan,China,430065","Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,School of Computer Science and Technology,Wuhan,China,430065","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000177737","display_name":"Jinshan Tang","orcid":"https://orcid.org/0000-0001-7266-8534"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinshan Tang","raw_affiliation_strings":["George Mason University,College of Health and Human Services,Department of Health Administration and Policy,Fairfax,Virginia,USA,22030"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University,College of Health and Human Services,Department of Health Administration and Policy,Fairfax,Virginia,USA,22030","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2116,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81596381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2656","last_page":"2660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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":0.7861758470535278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.701266348361969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5950860977172852},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.5337772369384766},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4910149574279785},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4739411175251007},{"id":"https://openalex.org/keywords/vascular-network","display_name":"Vascular network","score":0.43440741300582886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41588473320007324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37271052598953247},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1590452790260315},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.14129725098609924},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.09269201755523682},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07532817125320435}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7861758470535278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.701266348361969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5950860977172852},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5337772369384766},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4910149574279785},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4739411175251007},{"id":"https://openalex.org/C3019347889","wikidata":"https://www.wikidata.org/wiki/Q11068","display_name":"Vascular network","level":2,"score":0.43440741300582886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41588473320007324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37271052598953247},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1590452790260315},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.14129725098609924},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.09269201755523682},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07532817125320435},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9898038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898038","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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 Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2127318120","https://openalex.org/W2128226544","https://openalex.org/W2143268474","https://openalex.org/W2164774194","https://openalex.org/W2194775991","https://openalex.org/W2560016272","https://openalex.org/W2743884226","https://openalex.org/W2896997913","https://openalex.org/W2907750714","https://openalex.org/W2980185997","https://openalex.org/W3008082060","https://openalex.org/W3023476182","https://openalex.org/W3046359959","https://openalex.org/W3090488062","https://openalex.org/W3111741353","https://openalex.org/W3138516171","https://openalex.org/W3160694286","https://openalex.org/W3166201194","https://openalex.org/W3168341999","https://openalex.org/W3181578532","https://openalex.org/W3198788895","https://openalex.org/W3206394563","https://openalex.org/W6631190155","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W4387265590","https://openalex.org/W1995904975","https://openalex.org/W2365682449","https://openalex.org/W3032712071","https://openalex.org/W4389019322","https://openalex.org/W3040090327","https://openalex.org/W2756647615","https://openalex.org/W1522196789","https://openalex.org/W2048014087","https://openalex.org/W2034685238"],"abstract_inverted_index":{"Optical":[0],"Coherence":[1],"Tomography":[2],"Angiography":[3],"(OCTA)":[4],"is":[5,25,40,77],"a":[6,68,78,83,87,108],"rapid,":[7],"non-invasive":[8],"imaging":[9],"technique,":[10],"which":[11],"can":[12],"display":[13],"the":[14,30,47,55,93],"vascular":[15,20,51,59,63,71,122],"system":[16],"in":[17,46],"detail.":[18],"Retinal":[19],"segmentation":[21,52,72,123],"on":[22,130],"OCTA":[23,70],"images":[24],"of":[26,34,49,58,82,99],"great":[27],"significance":[28],"for":[29,44],"diagnosis":[31],"and":[32,61,86,101],"treatment":[33],"many":[35],"vision-related":[36],"diseases.":[37],"However,":[38],"there":[39],"still":[41],"much":[42],"room":[43],"improvement":[45],"research":[48],"retinal":[50],"due":[53],"to":[54,95,111],"low":[56],"visibility":[57],"edges":[60],"high":[62],"complexity.":[64,114],"Therefore,":[65],"we":[66],"propose":[67],"novel":[69],"network":[73,76,80,94],"(VCT-Net).":[74],"The":[75,90,104],"U-shaped":[79],"consisting":[81],"transformer":[84,105,110],"branch":[85,106],"convolution":[88],"branch.":[89],"structure":[91],"enables":[92],"make":[96],"full":[97],"use":[98],"global":[100],"local":[102],"information.":[103],"uses":[107],"swin":[109],"reduce":[112],"computational":[113],"Experimental":[115],"results":[116],"show":[117],"that":[118],"VCT-Net":[119],"achieves":[120],"better":[121],"performance":[124],"than":[125],"other":[126],"deep":[127],"learning":[128],"methods":[129],"OCTA-6M":[131],"dataset.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
