{"id":"https://openalex.org/W4410296455","doi":"https://doi.org/10.1109/isbi60581.2025.10980919","title":"Anatosegnet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation","display_name":"Anatosegnet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296455","doi":"https://doi.org/10.1109/isbi60581.2025.10980919"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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/A5101657359","display_name":"Meng Xu","orcid":"https://orcid.org/0000-0001-7834-6755"},"institutions":[{"id":"https://openalex.org/I47449453","display_name":"Kean University","ror":"https://ror.org/04wzzqn13","country_code":"US","type":"education","lineage":["https://openalex.org/I47449453"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Xu","raw_affiliation_strings":["Kean University,Department of Computer Science and Technology,Union,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kean University,Department of Computer Science and Technology,Union,NJ,USA","institution_ids":["https://openalex.org/I47449453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102740666","display_name":"Yingfeng Wang","orcid":"https://orcid.org/0000-0003-2181-5842"},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingfeng Wang","raw_affiliation_strings":["University of Tennessee at Chattanooga,Department of Computer Science and Engineering,Chattanooga,TN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee at Chattanooga,Department of Computer Science and Engineering,Chattanooga,TN,USA","institution_ids":["https://openalex.org/I177097968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076695361","display_name":"Kuan Huang","orcid":"https://orcid.org/0000-0001-5710-1118"},"institutions":[{"id":"https://openalex.org/I47449453","display_name":"Kean University","ror":"https://ror.org/04wzzqn13","country_code":"US","type":"education","lineage":["https://openalex.org/I47449453"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuan Huang","raw_affiliation_strings":["Kean University,Department of Computer Science and Technology,Union,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kean University,Department of Computer Science and Technology,Union,NJ,USA","institution_ids":["https://openalex.org/I47449453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.977400004863739,"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":0.977400004863739,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.947700023651123,"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":0.6825059652328491},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5454342365264893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5349698066711426},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5036863684654236},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4927566349506378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4636014699935913},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09187600016593933},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08790692687034607},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06578388810157776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6825059652328491},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5454342365264893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5349698066711426},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5036863684654236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4927566349506378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4636014699935913},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09187600016593933},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08790692687034607},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06578388810157776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6817503200","display_name":null,"funder_award_id":"2430746,2430747","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2884436604","https://openalex.org/W2991372685","https://openalex.org/W3155265425","https://openalex.org/W3203480968","https://openalex.org/W4315630813","https://openalex.org/W4315926030","https://openalex.org/W4379660275","https://openalex.org/W4387211294","https://openalex.org/W4390871833","https://openalex.org/W4390874575","https://openalex.org/W4391390070","https://openalex.org/W4401749301","https://openalex.org/W4402727760","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,24,32],"of":[2,25,101],"breast":[3,10,43,75],"tumor":[4,129],"boundaries":[5],"is":[6,46,118,140],"essential":[7],"for":[8,21,79],"effective":[9],"cancer":[11],"diagnosis.":[12],"Many":[13],"convolutional":[14],"and":[15,42,92,126,131],"transformer-based":[16,31],"models":[17,33,51],"have":[18],"been":[19],"proposed":[20,84,116],"the":[22,98,110],"semantic":[23],"Breast":[26],"UltraSound":[27],"(BUS)":[28],"images.":[29],"However,":[30],"are":[34],"challenging":[35],"to":[36,52,135],"train":[37],"on":[38,120],"small":[39],"medical":[40],"datasets,":[41],"anatomical":[44],"information":[45],"rarely":[47],"incorporated":[48],"into":[49],"these":[50],"enhance":[53],"their":[54],"performance.":[55],"In":[56],"this":[57],"study,":[58],"we":[59],"propose":[60],"AnatoSegNet,":[61],"a":[62,68,73,88,93],"novel":[63,74,89],"hybrid":[64],"network":[65],"that":[66,96],"integrates":[67],"CNN-based":[69],"U-shaped":[70],"architecture":[71],"with":[72],"Anatomical":[76],"Attention":[77],"Module":[78],"BUS":[80,102,123],"image":[81,124],"segmentation.":[82],"The":[83,115,138],"attention":[85],"module":[86],"introduces":[87],"differential":[90],"transformer":[91],"bias":[94],"matrix":[95],"emphasizes":[97],"layer":[99],"structure":[100],"images":[103],"while":[104],"capturing":[105],"long-range":[106],"dependencies,":[107],"thereby":[108],"improving":[109],"network's":[111],"feature":[112],"extraction":[113],"capabilities.":[114],"model":[117],"evaluated":[119],"two":[121],"public":[122],"datasets":[125],"achieves":[127],"superior":[128],"IoU":[130],"F1":[132],"scores":[133],"compared":[134],"state-of-the-art":[136],"methods.":[137],"code":[139],"available":[141],"at":[142],"https://github.com/kuanhuang0624/AnatoSegNet.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
