{"id":"https://openalex.org/W4385350883","doi":"https://doi.org/10.1142/s0218001423570094","title":"Multi-OCDTNet: A Novel Multi-Scale Object Context Dilated Transformer Network for Retinal Blood Vessel Segmentation","display_name":"Multi-OCDTNet: A Novel Multi-Scale Object Context Dilated Transformer Network for Retinal Blood Vessel Segmentation","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385350883","doi":"https://doi.org/10.1142/s0218001423570094"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001423570094","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423570094","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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":null,"display_name":"Chengwei Wu","orcid":"https://orcid.org/0000-0003-3477-8809"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Wu","raw_affiliation_strings":["Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3477-8809","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102741318","display_name":"Min Guo","orcid":"https://orcid.org/0000-0001-6453-7892"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Guo","raw_affiliation_strings":["Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-6453-7892","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026771368","display_name":"Miao Ma","orcid":"https://orcid.org/0000-0001-7735-6695"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Ma","raw_affiliation_strings":["Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-7735-6695","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012977924","display_name":"Kaiguang Wang","orcid":"https://orcid.org/0000-0001-8062-0530"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiguang Wang","raw_affiliation_strings":["Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-8062-0530","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi\u2019an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, School of Computer Science, Shaanxi Normal University, Xi'an 710119, P. R. China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102741318"],"corresponding_institution_ids":["https://openalex.org/I88830068"],"apc_list":null,"apc_paid":null,"fwci":0.6695,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71577186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"37","issue":"11","first_page":null,"last_page":null},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7247641086578369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404544711112976},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6277185678482056},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5761847496032715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5319253206253052},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47850504517555237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4484453797340393},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4340360462665558},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0801246166229248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247641086578369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404544711112976},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6277185678482056},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5761847496032715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5319253206253052},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47850504517555237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4484453797340393},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4340360462665558},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0801246166229248},{"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:10.1142/s0218001423570094","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423570094","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2166524747","https://openalex.org/W2395611524","https://openalex.org/W2898910301","https://openalex.org/W2921406441","https://openalex.org/W2941646209","https://openalex.org/W2941942490","https://openalex.org/W2960131585","https://openalex.org/W2962914239","https://openalex.org/W2963881378","https://openalex.org/W2978935251","https://openalex.org/W3048265489","https://openalex.org/W3089308010","https://openalex.org/W3097615406","https://openalex.org/W3118442183","https://openalex.org/W3132531378","https://openalex.org/W3135876801","https://openalex.org/W3142533146","https://openalex.org/W3159919500","https://openalex.org/W3160038630","https://openalex.org/W3161081823","https://openalex.org/W3163034495","https://openalex.org/W3165745140","https://openalex.org/W3167876016","https://openalex.org/W3181969869","https://openalex.org/W3190437803","https://openalex.org/W3213077231","https://openalex.org/W3215875521","https://openalex.org/W4200617893","https://openalex.org/W4220987172","https://openalex.org/W4280521522","https://openalex.org/W4281839015","https://openalex.org/W4297238491","https://openalex.org/W4306393227","https://openalex.org/W4306928120","https://openalex.org/W4311089311","https://openalex.org/W4311173916","https://openalex.org/W4311420498","https://openalex.org/W4313420293"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,57,136,157,176],"is":[2,148],"an":[3],"essential":[4],"part":[5],"of":[6,27,44,74,95,111,134,138,146,159,178],"medical":[7,21,34],"image":[8,35,76],"processing,":[9],"which":[10],"plays":[11],"a":[12,40,78,83,109,118,169],"significant":[13,170],"role":[14],"in":[15,82,99,173],"adjunctive":[16],"therapy,":[17],"disease":[18],"diagnosis,":[19],"and":[20,56,108,126,153,161],"assessment.":[22],"To":[23],"solve":[24],"the":[25,54,70,75,93,100,132,135,142,151,165,175],"problem":[26],"insufficient":[28],"extracting":[29],"context":[30,47,60,65,72,97],"information,":[31],"especially":[32],"for":[33,59],"segmentation,":[36],"this":[37],"paper":[38],"proposes":[39],"novel":[41],"network":[42,50,167],"architecture":[43],"multi-scale":[45,63,71,96],"object":[46,64],"dilated":[48,87],"transformer":[49,66,80,105,112],"(Multi-OCDTNet)":[51],"to":[52,130],"improve":[53,131],"utilization":[55],"accuracy":[58,158],"information.":[61],"The":[62,86,144],"module":[67,90],"can":[68,91],"extract":[69],"information":[73,98],"through":[77,103],"three-layer":[79],"structure":[81],"parallel":[84],"way.":[85],"convolution":[88],"self-aware":[89],"enhance":[92],"awareness":[94],"feature":[101],"map":[102],"layering":[104],"block":[106],"groups":[107],"set":[110],"layers.":[113],"In":[114],"addition,":[115],"we":[116],"propose":[117],"composite":[119],"weight-assigned-based":[120],"loss":[121],"function":[122],"based":[123],"on":[124,150],"DDCLoss":[125],"Focal":[127],"Tversky":[128],"Loss":[129],"stability":[133],"performance":[137,145,177],"Multi-OCDTNet":[139,147,166],"by":[140],"adjusting":[141],"weight.":[143],"validated":[149],"DRIVE":[152],"STARE":[154],"datasets":[155],"with":[156],"97.17%":[160],"97.84%,":[162],"respectively,":[163],"indicating":[164],"possesses":[168],"competitive":[171],"advantage":[172],"improving":[174],"retinal":[179],"vessel":[180],"images.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
