{"id":"https://openalex.org/W4404628854","doi":"https://doi.org/10.1109/jbhi.2024.3504829","title":"EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation","display_name":"EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4404628854","doi":"https://doi.org/10.1109/jbhi.2024.3504829","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030272"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3504829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3504829","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/A5070879119","display_name":"Feng Sun","orcid":"https://orcid.org/0009-0001-7706-5828"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210095398","display_name":"Mianyang Central Hospital","ror":"https://ror.org/00s528j33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210095398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Sun","raw_affiliation_strings":["Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210095398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101885116","display_name":"Ying Gang Zhou","orcid":"https://orcid.org/0000-0003-0364-8622"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210095398","display_name":"Mianyang Central Hospital","ror":"https://ror.org/00s528j33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210095398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhou","raw_affiliation_strings":["Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China"],"raw_orcid":"https://orcid.org/0000-0003-0364-8622","affiliations":[{"raw_affiliation_string":"Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210095398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101384085","display_name":"Longxiangfeng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210095398","display_name":"Mianyang Central Hospital","ror":"https://ror.org/00s528j33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210095398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxiangfeng Hu","raw_affiliation_strings":["Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210095398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107831735","display_name":"Yongyan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210095398","display_name":"Mianyang Central Hospital","ror":"https://ror.org/00s528j33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210095398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyan Li","raw_affiliation_strings":["Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210095398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067578751","display_name":"Dan Zhao","orcid":"https://orcid.org/0000-0003-0195-6031"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210095398","display_name":"Mianyang Central Hospital","ror":"https://ror.org/00s528j33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210095398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zhao","raw_affiliation_strings":["Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210095398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394297","display_name":"Yufeng Chen","orcid":"https://orcid.org/0000-0003-0437-6788"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Chen","raw_affiliation_strings":["School of Information Engineering, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079338526","display_name":"Yu He","orcid":"https://orcid.org/0009-0006-1849-1698"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210095398","display_name":"Mianyang Central Hospital","ror":"https://ror.org/00s528j33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210095398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu He","raw_affiliation_strings":["Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China"],"raw_orcid":"https://orcid.org/0009-0006-1849-1698","affiliations":[{"raw_affiliation_string":"Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210095398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7303,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76903793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"29","issue":"2","first_page":"1113","last_page":"1124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9983000159263611,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7500870227813721},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6101381778717041},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5685316324234009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5626409649848938},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5517232418060303},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4440305233001709},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44019851088523865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500870227813721},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6101381778717041},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5685316324234009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626409649848938},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5517232418060303},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4440305233001709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44019851088523865}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, 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":"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":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3504829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3504829","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:40030272","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030272","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":[],"awards":[{"id":"https://openalex.org/G944251368","display_name":null,"funder_award_id":"2024NSFSC0664","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2630837129","https://openalex.org/W2798122215","https://openalex.org/W2804047627","https://openalex.org/W2884436604","https://openalex.org/W2928133111","https://openalex.org/W2991372685","https://openalex.org/W2997286550","https://openalex.org/W3007268491","https://openalex.org/W3015788359","https://openalex.org/W3024640380","https://openalex.org/W3133394016","https://openalex.org/W3159151542","https://openalex.org/W3171346367","https://openalex.org/W3197957534","https://openalex.org/W4214493665","https://openalex.org/W4281988129","https://openalex.org/W4285600307","https://openalex.org/W4287448984","https://openalex.org/W4294862191","https://openalex.org/W4297238433","https://openalex.org/W4297829696","https://openalex.org/W4309343528","https://openalex.org/W4311088269","https://openalex.org/W4312466326","https://openalex.org/W4312568229","https://openalex.org/W4319300975","https://openalex.org/W4321095309","https://openalex.org/W4321232185","https://openalex.org/W4323897048","https://openalex.org/W4328108640","https://openalex.org/W4379012538","https://openalex.org/W4386561400","https://openalex.org/W4386882710","https://openalex.org/W4387046285","https://openalex.org/W4387211614","https://openalex.org/W4387430177","https://openalex.org/W4387843445","https://openalex.org/W4387866574","https://openalex.org/W4388756587","https://openalex.org/W4390449604","https://openalex.org/W4390738634","https://openalex.org/W4394596865","https://openalex.org/W4394693725","https://openalex.org/W4396530702","https://openalex.org/W4400080858","https://openalex.org/W4400881081","https://openalex.org/W4401656568","https://openalex.org/W6739696289","https://openalex.org/W6750469568","https://openalex.org/W6796487720"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W1522196789","https://openalex.org/W4367060753","https://openalex.org/W4379141755"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,56,65,102,116,124,139,159,184,201,218],"advancement":[5],"of":[6,115,123,203,220],"medical":[7,10,27,205,221],"imaging":[8],"technology,":[9],"image":[11,28,206],"segmentation":[12,29],"has":[13],"played":[14],"a":[15,90],"key":[16],"role":[17],"in":[18,82,217],"assisting":[19],"diagnosis":[20],"and":[21,36,75,128,131,144,180,196],"treatment":[22],"planning.":[23],"Current":[24],"deep":[25],"learning-based":[26],"methods":[30,43,51,69],"mainly":[31],"adopt":[32],"encoder-decoder":[33],"architecture":[34],"design":[35],"have":[37,45],"received":[38],"wide":[39],"attention.":[40],"However,":[41],"these":[42,99],"still":[44],"some":[46],"limitations,":[47],"including:":[48],"(1)":[49],"Existing":[50,68],"are":[52,151],"often":[53],"influenced":[54],"by":[55,193],"significant":[57],"semantic":[58,84,136,170],"information":[59,77],"gap":[60],"when":[61],"supplementing":[62],"features":[63,114,122],"for":[64,214],"decoder.":[66],"(2)":[67],"do":[70],"not":[71],"simultaneously":[72],"consider":[73],"global":[74],"local":[76],"interaction":[78],"during":[79],"decoding,":[80],"resulting":[81],"ineffective":[83],"recovery.":[85,171],"Therefore,":[86],"this":[87],"paper":[88],"proposes":[89],"novel":[91],"Enhanced":[92],"Decoder":[93],"Semantic":[94,104,161],"Recovery":[95,162],"Network":[96],"to":[97,153,167,190],"address":[98],"challenges.":[100],"Firstly,":[101],"Multi-Level":[103],"Fusion":[105],"(MLSF)":[106],"module":[107,164],"is":[108,165],"introduced,":[109],"which":[110],"effectively":[111],"fuses":[112],"low-level":[113],"original":[117],"image,":[118],"encoder":[119],"features,":[120,130],"high-level":[121],"deepest":[125],"network":[126],"layer,":[127],"decoder":[129],"assigns":[132],"weights":[133],"based":[134],"on":[135,173],"gaps.":[137],"Secondly,":[138],"Multiscale":[140],"Spatial":[141],"Attention":[142,148],"(MSSA)":[143],"Cross":[145],"Convolution":[146],"Channel":[147],"(CCCA)":[149],"modules":[150],"employed":[152],"obtain":[154],"richer":[155],"feature":[156],"information.":[157],"Finally,":[158],"Global-Local":[160],"(GLSR)":[163],"designed":[166],"achieve":[168],"better":[169],"Experiments":[172],"public":[174],"datasets":[175],"such":[176],"as":[177],"BUSI,":[178],"CVC-ClinicDB,":[179],"Kvasir-SEG":[181],"demonstrate":[182],"that":[183],"proposed":[185],"model":[186],"improves":[187],"IoU":[188],"compared":[189],"suboptimal":[191],"algorithms":[192],"0.81%,":[194],"0.85%":[195],"1.98%,":[197],"respectively,":[198],"significantly":[199],"enhancing":[200],"performance":[202],"2D":[204],"segmentation.":[207],"This":[208],"method":[209],"provides":[210],"effective":[211],"technical":[212],"support":[213],"further":[215],"development":[216],"field":[219],"image.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
