{"id":"https://openalex.org/W4386352888","doi":"https://doi.org/10.1109/isbi53787.2023.10230337","title":"Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation","display_name":"Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386352888","doi":"https://doi.org/10.1109/isbi53787.2023.10230337"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.16898","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015411150","display_name":"Ehsan Khodapanah Aghdam","orcid":null},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ehsan Khodapanah Aghdam","raw_affiliation_strings":["Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087512747","display_name":"Reza Azad","orcid":"https://orcid.org/0000-0002-4772-2161"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reza Azad","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004677631","display_name":"Maral Zarvani","orcid":null},"institutions":[{"id":"https://openalex.org/I67080706","display_name":"Alzahra University","ror":"https://ror.org/013cdqc34","country_code":"IR","type":"education","lineage":["https://openalex.org/I67080706"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Maral Zarvani","raw_affiliation_strings":["Department of Computer Engineering, Alzahra University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Alzahra University, Tehran, Iran","institution_ids":["https://openalex.org/I67080706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064747056","display_name":"Dorit Merhof","orcid":"https://orcid.org/0000-0002-1672-2185"},"institutions":[{"id":"https://openalex.org/I60668342","display_name":"University of Regensburg","ror":"https://ror.org/01eezs655","country_code":"DE","type":"education","lineage":["https://openalex.org/I60668342"]},{"id":"https://openalex.org/I67348948","display_name":"Bayer (Germany)","ror":"https://ror.org/04hmn8g73","country_code":"DE","type":"company","lineage":["https://openalex.org/I67348948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dorit Merhof","raw_affiliation_strings":["Faculty of Informatics and Data Science, University of Regensburg, Bayern, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Data Science, University of Regensburg, Bayern, Germany","institution_ids":["https://openalex.org/I60668342","https://openalex.org/I67348948"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.049,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.999962,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Melanoma","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Melanoma","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"Deep Learning in Medical Image Analysis","score":0.9992,"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/T12859","display_name":"Advanced Techniques in Bioimage Analysis and Microscopy","score":0.9821,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/melanoma","display_name":"Melanoma","score":0.560857},{"id":"https://openalex.org/keywords/skin-cancers","display_name":"Skin Cancers","score":0.531935},{"id":"https://openalex.org/keywords/tumor-staging","display_name":"Tumor Staging","score":0.51577},{"id":"https://openalex.org/keywords/dermoscopy","display_name":"Dermoscopy","score":0.505197},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"Medical Image Analysis","score":0.500836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650454},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.74452305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62454605},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6102825},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4451795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43772727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4141256}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2210.16898","pdf_url":"https://arxiv.org/pdf/2210.16898","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2210.16898","pdf_url":"https://arxiv.org/pdf/2210.16898","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.47}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2798122215","https://openalex.org/W2884436604","https://openalex.org/W2932083555","https://openalex.org/W2963946669","https://openalex.org/W2964227007","https://openalex.org/W3025800305","https://openalex.org/W3094502228","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3151130473","https://openalex.org/W3160284783","https://openalex.org/W3203480968","https://openalex.org/W4200015473","https://openalex.org/W4206841660","https://openalex.org/W4221144362","https://openalex.org/W4312794844"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4315434538","https://openalex.org/W4312417841","https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W3193565141","https://openalex.org/W3167935049","https://openalex.org/W3133861977","https://openalex.org/W3029198973","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Melanoma":[0],"is":[1,83],"caused":[2],"by":[3,29,150,174],"the":[4,41,59,63,67,72,86,104,108,144,148,153,160,166,193],"abnormal":[5],"growth":[6],"of":[7,66,147,195],"melanocytes":[8],"in":[9,58,71,78,89,165],"human":[10],"skin.":[11],"Like":[12],"other":[13],"cancers,":[14],"this":[15,94,123],"life-threatening":[16],"skin":[17,31,187],"cancer":[18],"can":[19,170],"be":[20,171],"treated":[21],"with":[22,50,107],"early":[23],"diagnosis.":[24],"To":[25,92],"support":[26],"a":[27,51,97,181],"diagnosis":[28],"automatic":[30],"lesion":[32,188],"segmentation,":[33],"several":[34,186],"Fully":[35],"Convolutional":[36],"Network":[37],"(FCN)":[38],"approaches,":[39],"specifically":[40],"U-Net":[42,48,73,100,131],"architecture,":[43],"have":[44],"been":[45,113],"proposed.":[46],"The":[47],"model":[49],"symmetrical":[52],"architecture":[53,74,101],"has":[54,112],"exhibited":[55],"superior":[56],"performance":[57,77],"segmentation":[60,87,189],"task.":[61],"However,":[62],"locality":[64],"restriction":[65],"convolutional":[68],"operation":[69,163],"incorporated":[70],"limits":[75],"its":[76],"capturing":[79],"long-range":[80],"dependency,":[81],"which":[82],"crucial":[84],"for":[85,133],"task":[88],"medical":[90,134],"images.":[91],"address":[93],"limitation,":[95],"recently":[96],"Transformer":[98,110],"based":[99],"that":[102,159],"replaces":[103],"CNN":[105],"blocks":[106],"Swin":[109,130],"module":[111],"proposed":[114,197],"to":[115,142],"capture":[116],"both":[117],"local":[118],"and":[119],"global":[120],"representation.":[121],"In":[122,137],"paper,":[124],"we":[125,140,191],"propose":[126],"Att-SwinU-Net,":[127],"an":[128,176],"attention-based":[129],"extension,":[132],"image":[135],"segmentation.":[136],"our":[138,196],"design,":[139],"seek":[141],"enhance":[143],"feature":[145],"re-usability":[146],"network":[149],"carefully":[151],"designing":[152],"skip":[154,167],"connection":[155,168],"path.":[156],"We":[157],"argue":[158],"classical":[161],"concatenation":[162],"utilized":[164],"path":[169],"further":[172],"improved":[173],"incorporating":[175],"attention":[177,198],"mechanism.":[178,199],"By":[179],"performing":[180],"comprehensive":[182],"ablation":[183],"study":[184],"on":[185],"datasets,":[190],"demonstrate":[192],"effectiveness":[194]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4386352888","counts_by_year":[{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14}],"updated_date":"2024-11-07T21:20:45.908546","created_date":"2023-09-02"}