{"id":"https://openalex.org/W4405489028","doi":"https://doi.org/10.1109/embc53108.2024.10782335","title":"CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases","display_name":"CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405489028","doi":"https://doi.org/10.1109/embc53108.2024.10782335","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039820"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10782335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005400010","display_name":"Srividya Tirunellai Rajamani","orcid":null},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Srividya Tirunellai Rajamani","raw_affiliation_strings":["University of Augsburg,Chair of Embedded Intelligence for Health Care &amp; Wellbeing,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Augsburg,Chair of Embedded Intelligence for Health Care &amp; Wellbeing,Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081346151","display_name":"Kumar Rajamani","orcid":"https://orcid.org/0000-0003-2327-5819"},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kumar Rajamani","raw_affiliation_strings":["Marwadi University,Department of Artificial Intelligence,Rajkot,Gujarat,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marwadi University,Department of Artificial Intelligence,Rajkot,Gujarat,India","institution_ids":["https://openalex.org/I3132999081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093034568","display_name":"J Angeline","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angeline J","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Engineering, Coimbatore,Department of Electronics and Communication Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Engineering, Coimbatore,Department of Electronics and Communication Engineering,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111775817","display_name":"R. Karthika","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karthika R","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Engineering, Coimbatore,Department of Electronics and Communication Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Engineering, Coimbatore,Department of Electronics and Communication Engineering,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn W. Schuller","raw_affiliation_strings":["University of Augsburg,Chair of Embedded Intelligence for Health Care &amp; Wellbeing,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Augsburg,Chair of Embedded Intelligence for Health Care &amp; Wellbeing,Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5781746506690979},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5265167951583862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45434993505477905},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.43737709522247314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16515952348709106},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06389477849006653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781746506690979},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5265167951583862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45434993505477905},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.43737709522247314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16515952348709106},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06389477849006653}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":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":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006352","descriptor_name":"Heart Ventricles","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006352","descriptor_name":"Heart Ventricles","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":"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":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","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":false},{"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/embc53108.2024.10782335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039820","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039820","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2804047627","https://openalex.org/W2914410118","https://openalex.org/W2963395421","https://openalex.org/W2964043069","https://openalex.org/W3096627121","https://openalex.org/W3199080767","https://openalex.org/W4287577180","https://openalex.org/W4289752563","https://openalex.org/W4295445907","https://openalex.org/W4317655903","https://openalex.org/W4323022465","https://openalex.org/W4386363006","https://openalex.org/W4387490156","https://openalex.org/W4388937507","https://openalex.org/W4389120536","https://openalex.org/W4389542417"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"U-Net":[0,19,30,38],"has":[1,20,47],"been":[2,21],"demonstrated":[3],"to":[4,23,58,98],"be":[5],"effective":[6],"for":[7,158,171,174],"the":[8,60,91,114,123,130,135,153,175],"task":[9],"of":[10,53,62,96,113,126,132,156],"medical":[11],"image":[12],"segmentation.":[13],"Additionally,":[14],"integrating":[15],"attention":[16,37,93,121],"mechanism":[17],"into":[18],"shown":[22],"yield":[24],"significant":[25],"benefits.":[26],"The":[27],"Shape":[28],"Attentive":[29],"(SAUNet)":[31],"is":[32,78],"one":[33],"such":[34,75],"recently":[35],"proposed":[36,146],"that":[39],"also":[40],"focuses":[41],"on":[42,49,74,102],"interpretability.":[43],"Furthermore,":[44],"recent":[45],"research":[46,81],"focused":[48],"identification":[50],"and":[51,169],"reporting":[52],"corner":[54,76,103],"cases":[55,77],"in":[56,66,122,134,150,152],"segmentation":[57,143,168],"accelerate":[59],"utilisation":[61],"deep":[63],"learning":[64],"models":[65],"clinical":[67],"practise.":[68],"However,":[69],"achieving":[70],"good":[71],"model":[72],"performance":[73,101],"a":[79,110],"less-explored":[80],"area.":[82],"In":[83],"this":[84,107],"paper,":[85],"we":[86],"propose":[87],"CBAM_SAUNet":[88,133],"which":[89],"enhances":[90],"dual":[92],"decoder":[94,124],"block":[95,125],"SAUNet":[97],"improve":[99],"its":[100],"cases.":[104],"We":[105,128],"achieve":[106],"by":[108],"utilising":[109],"novel":[111,147],"variant":[112],"Convolutional":[115],"Block":[116],"Attention":[117],"Module":[118],"(CBAM)'s":[119],"channel":[120],"SAUNet.":[127],"demonstrate":[129],"effectiveness":[131],"Automated":[136],"Cardiac":[137],"Diagnosis":[138],"Challenge":[139],"(ACDC)":[140],"cardiac":[141],"MRI":[142],"challenge.":[144],"Our":[145],"approach":[148],"results":[149],"improvement":[151],"Dice":[154],"scores":[155],"12%":[157],"Left":[159],"Ventricle":[160,166],"(LV)":[161],"as":[162,164],"well":[163],"Right":[165],"(RV)":[167],"8%":[170],"Myocardium":[172],"(MYO)":[173],"identified":[176],"corner-case":[177],"dataset.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
