{"id":"https://openalex.org/W3128392588","doi":"https://doi.org/10.1109/bibm49941.2020.9313161","title":"SEAUNet:Domain Adaptation for Biomedical Image Segmentation","display_name":"SEAUNet:Domain Adaptation for Biomedical Image Segmentation","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128392588","doi":"https://doi.org/10.1109/bibm49941.2020.9313161","mag":"3128392588"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"https://openalex.org/A5100442516","display_name":"Hang Chen","orcid":"https://orcid.org/0000-0001-9999-1358"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017395798","display_name":"Leiting Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leiting Chen","raw_affiliation_strings":["Institute of Electronic and Information Engineering in Guangdong, University of Electronic Science and Technology of China","School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province"],"affiliations":[{"raw_affiliation_string":"Institute of Electronic and Information Engineering in Guangdong, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069983771","display_name":"Yuchu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuchu Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108390176","display_name":"Minghao Fan","orcid":"https://orcid.org/0009-0002-7790-8706"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghao Fan","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003262869","display_name":"Chuan Zhou","orcid":"https://orcid.org/0000-0001-7700-7188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuan Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Key Laboratory of Digital Media Technology of Sichuan Province","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100442516"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2009795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1914","last_page":"1919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.998199999332428,"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":0.998199999332428,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8174997568130493},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7458077073097229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6935060024261475},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6765474677085876},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6498802900314331},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6439380645751953},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5775977373123169},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5756963491439819},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4759376049041748},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4369451105594635},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4198059141635895},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41590213775634766},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.4141126275062561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3495791554450989},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.11790886521339417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06789755821228027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8174997568130493},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7458077073097229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6935060024261475},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6765474677085876},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6498802900314331},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6439380645751953},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5775977373123169},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5756963491439819},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4759376049041748},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4369451105594635},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4198059141635895},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41590213775634766},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.4141126275062561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3495791554450989},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.11790886521339417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06789755821228027},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2559597482","https://openalex.org/W2593768305","https://openalex.org/W2604992821","https://openalex.org/W2605177561","https://openalex.org/W2905535599","https://openalex.org/W2951970475","https://openalex.org/W2962808524","https://openalex.org/W2962914239","https://openalex.org/W2963412383","https://openalex.org/W2963495494","https://openalex.org/W2963544187","https://openalex.org/W2963727650","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,149],"plays":[2,81,93],"an":[3],"important":[4],"role":[5,83,95],"in":[6,73,115,126,168],"biomedical":[7,22,65],"image":[8,45,66],"analysis":[9],"applications.":[10],"Convolutional":[11],"neural":[12],"networks":[13,59,87],"(CNN)":[14],"have":[15],"become":[16],"a":[17,56,77,82,89,94],"promising":[18],"approach":[19,155],"to":[20,43,48,60,122],"segment":[21],"images.":[23],"Nevertheless,":[24],"the":[25,34,49,74,85,97,101,105,112,116,123,127,141,173],"accuracy":[26],"of":[27,51,84,96,165],"these":[28],"methods":[29],"is":[30],"highly":[31],"dependent":[32],"on":[33,172],"training":[35,169],"data.":[36],"These":[37],"models":[38],"may":[39],"not":[40],"generalize":[41],"well":[42],"unseen":[44],"domains":[46],"due":[47],"phenomenon":[50],"domain":[52,62,167],"shift.":[53],"We":[54,139],"propose":[55],"self-ensembling":[57],"attention":[58],"address":[61],"shift":[63],"for":[64],"segmentation.":[67],"There":[68],"are":[69],"two":[70],"main":[71],"components":[72],"proposed":[75],"network:":[76],"student":[78,106],"network":[79,91,107,118],"which":[80,92],"base":[86],"and":[88,111,145,151,170],"teacher":[90,117],"ensemble":[98,113],"networks.":[99],"As":[100],"iteration":[102],"goes":[103],"on,":[104],"becomes":[108],"more":[109],"accurate,":[110],"predictions":[114],"also":[119],"get":[120],"closer":[121],"correct":[124],"labels":[125,164],"target":[128],"domain.":[129,175],"In":[130],"this":[131],"way,":[132],"domain-invariant":[133],"features":[134],"can":[135,156],"be":[136],"learnt":[137],"correspondingly.":[138],"use":[140,163],"DRIVE,":[142],"STARE,":[143],"HRF":[144],"CHASEDB":[146],"eye":[147],"vasculature":[148],"datasets":[150],"show":[152],"that":[153],"our":[154],"significantly":[157],"improve":[158],"results":[159],"where":[160],"we":[161],"only":[162],"one":[166],"test":[171],"other":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
