{"id":"https://openalex.org/W4280521332","doi":"https://doi.org/10.1109/jbhi.2022.3173948","title":"Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation","display_name":"Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation","publication_year":2022,"publication_date":"2022-05-10","ids":{"openalex":"https://openalex.org/W4280521332","doi":"https://doi.org/10.1109/jbhi.2022.3173948","pmid":"https://pubmed.ncbi.nlm.nih.gov/35536816"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3173948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3173948","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5030883042","display_name":"Guanghui Yue","orcid":"https://orcid.org/0000-0002-6761-8767"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Yue","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6761-8767","affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072963322","display_name":"Wanwan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanwan Han","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735301","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0002-4044-885X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4044-885X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024931596","display_name":"Tianwei Zhou","orcid":"https://orcid.org/0000-0003-3533-7204"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianwei Zhou","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0972-4008","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046543349","display_name":"Tianfu Wang","orcid":"https://orcid.org/0000-0002-1248-1214"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1248-1214","affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.4586,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.98935556,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"26","issue":"8","first_page":"4090","last_page":"4099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980999827384949,"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/T10862","display_name":"AI in cancer detection","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7708883285522461},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6943016648292542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6737954020500183},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.592205822467804},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5676938891410828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5362343788146973},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5069342255592346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44261884689331055},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4349592924118042},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4321216642856598},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4193894863128662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33809933066368103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09790840744972229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708883285522461},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6943016648292542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6737954020500183},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.592205822467804},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5676938891410828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5362343788146973},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5069342255592346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44261884689331055},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4349592924118042},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4321216642856598},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4193894863128662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33809933066368103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09790840744972229},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2022.3173948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3173948","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:35536816","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35536816","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1475225348","display_name":null,"funder_award_id":"2019A1515110401","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G2314270497","display_name":null,"funder_award_id":"62103286","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2816073044","display_name":"\u57fa\u4e8e\u81ea\u76d1\u7763\u5bf9\u6297\u5b66\u4e60\u7684\u5a74\u5e7c\u513f\u5148\u5fc3\u75c5\u8d85\u58f0\u667a\u80fd\u8bca\u65ad\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6519355659","display_name":null,"funder_award_id":"2019A1515111205","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7596383720","display_name":null,"funder_award_id":"62001302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7756448764","display_name":null,"funder_award_id":"VRLAB2021C05","funder_id":"https://openalex.org/F4320321125","funder_display_name":"Beihang University"},{"id":"https://openalex.org/G8679294037","display_name":null,"funder_award_id":"2021A1515011348","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320326839","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W258533511","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2008359794","https://openalex.org/W2077474654","https://openalex.org/W2096552575","https://openalex.org/W2106904071","https://openalex.org/W2111116696","https://openalex.org/W2113889984","https://openalex.org/W2140753590","https://openalex.org/W2285968993","https://openalex.org/W2405358144","https://openalex.org/W2518605621","https://openalex.org/W2560328367","https://openalex.org/W2565639579","https://openalex.org/W2622388981","https://openalex.org/W2783478920","https://openalex.org/W2884436604","https://openalex.org/W2894010682","https://openalex.org/W2921406441","https://openalex.org/W2927259948","https://openalex.org/W2928165649","https://openalex.org/W2963091558","https://openalex.org/W2979515228","https://openalex.org/W2991153448","https://openalex.org/W2996290406","https://openalex.org/W2997286550","https://openalex.org/W2998449272","https://openalex.org/W2999580839","https://openalex.org/W3008070655","https://openalex.org/W3009963727","https://openalex.org/W3013198566","https://openalex.org/W3023282579","https://openalex.org/W3024262873","https://openalex.org/W3027205504","https://openalex.org/W3028954669","https://openalex.org/W3034006481","https://openalex.org/W3034684132","https://openalex.org/W3090492687","https://openalex.org/W3091630951","https://openalex.org/W3092344722","https://openalex.org/W3100548413","https://openalex.org/W3102628144","https://openalex.org/W3118152168","https://openalex.org/W3120333390","https://openalex.org/W3124994365","https://openalex.org/W3134036841","https://openalex.org/W3145782339","https://openalex.org/W3158673744","https://openalex.org/W3164568591","https://openalex.org/W3174565742","https://openalex.org/W3198147788","https://openalex.org/W3199502724","https://openalex.org/W3202263958","https://openalex.org/W6686105303","https://openalex.org/W6739901393","https://openalex.org/W6789459963"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Clinically,":[0],"proper":[1],"polyp":[2,29,66,180,203,214],"localization":[3],"in":[4,11,102,232],"endoscopy":[5],"images":[6],"plays":[7],"a":[8,24,57,96,112,172],"vital":[9],"role":[10],"the":[12,33,85,104,107,135,139,144,155,161,179,185,191,202,224],"follow-up":[13],"treatment":[14],"(e.g.,":[15],"surgical":[16],"planning).":[17],"Deep":[18],"convolutional":[19],"neural":[20],"networks":[21],"(CNNs)":[22],"provide":[23,48],"favoured":[25],"prospect":[26],"for":[27,64],"automatic":[28],"segmentation":[30,50],"and":[31,40,78,125,181,195,205,237],"evade":[32],"limitations":[34],"of":[35,70,106,117,138,148,184,201,234],"visual":[36],"inspection,":[37],"e.g.,":[38],"subjectivity":[39],"overwork.":[41],"However,":[42],"most":[43],"existing":[44],"CNNs-based":[45],"methods":[46,231],"often":[47],"unsatisfactory":[49],"performance.":[51,114],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"novel":[58],"boundary":[59,174,196],"constraint":[60],"network,":[61],"namely":[62],"BCNet,":[63],"accurate":[65,168,213],"segmentation.":[67],"The":[68],"success":[69],"BCNet":[71,94,170,207,226],"benefits":[72],"from":[73,163],"integrating":[74],"cross-level":[75],"context":[76,136],"information":[77,137,157,183,194],"leveraging":[79],"edge":[80],"information.":[81],"Specifically,":[82],"to":[83,210],"avoid":[84],"drawbacks":[86],"caused":[87],"by":[88],"simple":[89],"feature":[90,98,121,128],"addition":[91,150],"or":[92,151],"concentration,":[93],"applies":[95],"cross-layer":[97,120],"integration":[99,129],"strategy":[100],"(CFIS)":[101],"fusing":[103],"features":[105],"top-three":[108,140],"highest":[109,141],"layers,":[110],"yielding":[111],"better":[113],"CFIS":[115],"consists":[116],"three":[118,219],"attention-driven":[119],"interaction":[122],"modules":[123,130],"(ACFIMs)":[124],"two":[126],"global":[127,164],"(GFIMs).":[131],"ACFIM":[132],"adaptively":[133],"fuses":[134],"layers":[142,159],"via":[143],"self-attention":[145],"mechanism":[146],"instead":[147],"direct":[149],"concentration.":[152],"GFIM":[153],"integrates":[154],"fused":[156],"across":[158],"with":[160],"guidance":[162],"attention.":[165],"To":[166],"obtain":[167],"boundaries,":[169],"introduces":[171],"bilateral":[173],"extraction":[175],"module":[176],"that":[177,223],"explores":[178],"non-polyp":[182],"shallow":[186],"layer":[187],"collaboratively":[188],"based":[189],"on":[190,218],"high-level":[192],"location":[193],"supervision.":[197],"Through":[198],"joint":[199],"supervision":[200],"area":[204],"boundary,":[206],"is":[208],"able":[209],"get":[211],"more":[212],"masks.":[215],"Experimental":[216],"results":[217],"public":[220],"datasets":[221],"show":[222],"proposed":[225],"outperforms":[227],"seven":[228],"state-of-the-art":[229],"competing":[230],"terms":[233],"both":[235],"effectiveness":[236],"generalization.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":38},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
