{"id":"https://openalex.org/W4405304233","doi":"https://doi.org/10.1109/besc64747.2024.10780733","title":"GM-UNet: GAN-Based VM-UNet Achieves Higher Accuracy","display_name":"GM-UNet: GAN-Based VM-UNet Achieves Higher Accuracy","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4405304233","doi":"https://doi.org/10.1109/besc64747.2024.10780733"},"language":"en","primary_location":{"id":"doi:10.1109/besc64747.2024.10780733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-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":"Jiacheng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiacheng Han","raw_affiliation_strings":["School of Computer Science, Beijing Information Science and Technology University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113315758","display_name":"Jiuyun Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuyun Cai","raw_affiliation_strings":["School of Computer Science, Beijing Information Science and Technology University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohan Zhu","raw_affiliation_strings":["School of Computer Science, Beijing Information Science and Technology University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075608649","display_name":"Zijie Gao","orcid":"https://orcid.org/0009-0002-8974-5633"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijie Gao","raw_affiliation_strings":["School of Computer Science, Beijing Information Science and Technology University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066604586","display_name":"Cong Li","orcid":"https://orcid.org/0009-0000-7170-8928"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Li","raw_affiliation_strings":["School of Computer Science, Beijing Information Science and Technology University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104032836","display_name":"Yuanyuan Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Miao","raw_affiliation_strings":["School of Computer Science, Beijing Information Science and Technology University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":0.669,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76888906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.5194000005722046,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.5194000005722046,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.5034999847412109,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/materials-science","display_name":"Materials science","score":0.4479135274887085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43106958270072937},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.3733464479446411},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32220059633255005}],"concepts":[{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4479135274887085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43106958270072937},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.3733464479446411},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32220059633255005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc64747.2024.10780733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2417429787","https://openalex.org/W2884436604","https://openalex.org/W2910094941","https://openalex.org/W3007268491","https://openalex.org/W3094502228","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W4210847275","https://openalex.org/W4210858491","https://openalex.org/W4246193833","https://openalex.org/W4308929509","https://openalex.org/W4313007769","https://openalex.org/W4323567514","https://openalex.org/W4380200945","https://openalex.org/W6750469568","https://openalex.org/W6762718338","https://openalex.org/W6790275670","https://openalex.org/W6796931752","https://openalex.org/W6857440670","https://openalex.org/W6859298233","https://openalex.org/W6861213978","https://openalex.org/W6861342692"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4404995717","https://openalex.org/W2016187641","https://openalex.org/W4404725684","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298"],"abstract_inverted_index":{"In":[0],"the":[1,7,23,75,82,88,106,116,124,129,134,139,147,150,155,160,187],"field":[2],"of":[3,48,81,90,108,126,162],"medical":[4],"image":[5,84,94,120,135,168,176],"segmentation,":[6],"Ushape":[8,49,208],"architecture":[9,18,50],"model":[10,189],"has":[11,28,41],"been":[12],"widely":[13],"explored.":[14],"Recently,":[15],"a":[16,31,44,99],"novel":[17],"called":[19],"Mamba,":[20],"based":[21,37,206],"on":[22,38,180,207],"State":[24,33],"Space":[25,34],"Models":[26],"(SSMs),":[27],"emerged.":[29],"Subsequently,":[30],"Visual":[32],"(VSS)":[35],"block":[36,57],"visual":[39],"Mamba":[40],"also":[42],"become":[43],"new":[45],"core":[46],"module":[47],"models":[51,205],"represented":[52],"by":[53,138],"VM-UNet.":[54],"Although":[55],"VSS":[56],"possesses":[58],"linear":[59,67],"computational":[60],"complexity,":[61],"it":[62],"constructs":[63],"only":[64],"four":[65],"directional":[66],"sequences":[68],"when":[69],"processing":[70],"images,":[71,164],"thus":[72],"inherently":[73],"lacking":[74],"capability":[76,89,173],"to":[77,158,201],"capture":[78],"local":[79],"features":[80,136],"target":[83],"effectively.":[85],"To":[86],"enhance":[87],"VM-UNet":[91,104,114,191],"in":[92,174,192],"capturing":[93,175],"details,":[95],"this":[96],"paper":[97],"introduces":[98],"GM-UNet":[100,188],"model,":[101],"which":[102],"integrates":[103],"into":[105,146],"framework":[107],"Generative":[109],"Adversarial":[110],"Networks":[111],"(GANs):":[112],"using":[113],"as":[115,128],"generator":[117],"network":[118,148,151,170],"for":[119],"segmentation":[121,169,204],"and":[122,141,196],"employing":[123],"encoder":[125],"U-Net":[127],"discriminator":[130,140,156],"network.":[131],"By":[132],"incorporating":[133],"extracted":[137],"introducing":[142],"weighted":[143],"adversarial":[144],"loss":[145],"training,":[149],"is":[152],"trained":[153],"until":[154],"struggles":[157],"distinguish":[159],"source":[161],"segmented":[163],"thereby":[165],"obtaining":[166],"an":[167],"with":[171],"superior":[172],"details.":[177],"Experimental":[178],"results":[179],"segmenting":[181],"liver":[182],"CT":[183],"images":[184],"demonstrate":[185],"that":[186],"outperforms":[190],"various":[193],"performance":[194],"metrics":[195],"exhibits":[197],"strong":[198],"competitiveness":[199],"compared":[200],"other":[202],"classic":[203],"architecture.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
