{"id":"https://openalex.org/W4411551329","doi":"https://doi.org/10.1109/cscwd64889.2025.11033394","title":"EG-UNet: A Medical Image Segmentation Model with Enhanced Feature Fusion","display_name":"EG-UNet: A Medical Image Segmentation Model with Enhanced Feature Fusion","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411551329","doi":"https://doi.org/10.1109/cscwd64889.2025.11033394"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5071594340","display_name":"Xuqing Chai","orcid":"https://orcid.org/0000-0001-5781-7263"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuqing Chai","raw_affiliation_strings":["Henan Normal University,Xinxiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Normal University,Xinxiang,China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376972","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0003-4533-3880"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["Henan Normal University,Xinxiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Normal University,Xinxiang,China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068850034","display_name":"Yinghai Lin","orcid":"https://orcid.org/0009-0007-2503-2307"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghai Lin","raw_affiliation_strings":["Henan Normal University,Xinxiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Normal University,Xinxiang,China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012837928","display_name":"Danyang Liu","orcid":"https://orcid.org/0009-0008-1397-9904"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Liu","raw_affiliation_strings":["Henan Normal University,Xinxiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Normal University,Xinxiang,China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhixiong Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiong Tian","raw_affiliation_strings":["Henan Normal University,Xinxiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Normal University,Xinxiang,China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083525500","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-2358-602X"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Henan Normal University,Xinxiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Normal University,Xinxiang,China","institution_ids":["https://openalex.org/I75955062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75955062"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1166","last_page":"1171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9743000268936157,"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":0.9743000268936157,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9438999891281128,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6840509176254272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6753371357917786},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6638360023498535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6100497245788574},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5922106504440308},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5872100591659546},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.567200243473053},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5070865154266357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4710773527622223},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4604767858982086},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4543324410915375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6840509176254272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6753371357917786},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6638360023498535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6100497245788574},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5922106504440308},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5872100591659546},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.567200243473053},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5070865154266357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4710773527622223},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4604767858982086},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4543324410915375},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2923997689","https://openalex.org/W3014320879","https://openalex.org/W3034552520","https://openalex.org/W4289752563","https://openalex.org/W4294770622","https://openalex.org/W4295916864","https://openalex.org/W4295934721","https://openalex.org/W4309396422","https://openalex.org/W4313196086","https://openalex.org/W4321232185","https://openalex.org/W4393149370","https://openalex.org/W6750469568","https://openalex.org/W6761152059","https://openalex.org/W6785302134","https://openalex.org/W6846689793"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2379054866","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951"],"abstract_inverted_index":{"Accurate":[0],"medical":[1,24],"image":[2,25],"segmentation":[3],"is":[4,63],"crucial":[5],"to":[6,69,114,123],"improving":[7,72,120],"diagnosis":[8],"and":[9,37,71,81,97,109,135,147,150,155],"treatment":[10],"results.":[11],"The":[12],"existing":[13],"CNN":[14],"-based":[15],"Rolling":[16],"-":[17],"Un":[18],"et":[19],"model":[20,50],"performs":[21],"well":[22],"in":[23,33,79],"segmentation,":[26],"but":[27],"it":[28],"still":[29],"has":[30],"certain":[31],"limitations":[32],"capturing":[34],"long-distance":[35,90],"dependencies":[36,91],"processing":[38],"local":[39,107],"features.":[40],"To":[41],"solve":[42],"these":[43],"problems,":[44],"this":[45,142],"paper":[46],"proposes":[47],"an":[48],"improved":[49],"EG-UNet.":[51],"Specifically,":[52],"we":[53],"propose":[54],"a":[55,82],"channel":[56,77],"feature":[57,84],"enhancement":[58],"module":[59,86],"(CBRE":[60],"encoder-decoder),":[61],"which":[62,88],"responsible":[64],"for":[65],"dynamically":[66],"assigning":[67],"channels":[68],"features":[70,78],"the":[73,93,103,111,121,132,139,151],"representation":[74],"ability":[75,105,122],"of":[76,95,106,141],"CNN;":[80],"core":[83],"fusion":[85],"(GLFF),":[87],"captures":[89],"through":[92],"interaction":[94],"DOR-MLP":[96],"PRM":[98],"modules,":[99],"while":[100],"further":[101],"enhancing":[102],"capture":[104,124],"features,":[108],"using":[110],"residual":[112],"structure":[113],"retain":[115],"more":[116],"semantic":[117],"information,":[118],"thereby":[119],"boundary":[125],"details.":[126],"Experimental":[127],"results":[128],"show":[129],"that":[130],"on":[131],"ISIC20":[133],"18":[134],"PH2":[136],"data":[137],"sets,":[138],"Fl":[140],"paper's":[143],"network":[144],"reached":[145,153],"89.96%":[146],"94.52%":[148],"respectively,":[149,157],"ASD":[152],"0.47%":[154],"0.38%":[156],"showing":[158],"significant":[159],"performance":[160],"improvement.":[161]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}