{"id":"https://openalex.org/W3157655791","doi":"https://doi.org/10.1109/jbhi.2021.3077271","title":"Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation","display_name":"Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation","publication_year":2021,"publication_date":"2021-05-04","ids":{"openalex":"https://openalex.org/W3157655791","doi":"https://doi.org/10.1109/jbhi.2021.3077271","mag":"3157655791","pmid":"https://pubmed.ncbi.nlm.nih.gov/33945490"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3077271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3077271","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","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/A5088900327","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0001-7841-5300"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chen Yang","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059247334","display_name":"Xiaoqing Guo","orcid":"https://orcid.org/0000-0002-9476-521X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoqing Guo","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082530816","display_name":"Meilu Zhu","orcid":"https://orcid.org/0000-0002-5563-7282"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Meilu Zhu","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070871008","display_name":"Bulat Ibragimov","orcid":"https://orcid.org/0000-0001-7739-7788"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Bulat Ibragimov","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073968803","display_name":"Yixuan Yuan","orcid":"https://orcid.org/0000-0002-0853-6948"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yixuan Yuan","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088900327"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":2.5025,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.92050251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":"10","first_page":"3886","last_page":"3897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9916999936103821,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9916999936103821,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9835000038146973,"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":0.9501000046730042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8649731874465942},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7874292731285095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6802730560302734},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5726702809333801},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5614458918571472},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5378756523132324},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.47431159019470215},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47042083740234375},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.451656699180603},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42388486862182617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4166434407234192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33392074704170227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8649731874465942},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7874292731285095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6802730560302734},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5726702809333801},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5614458918571472},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5378756523132324},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.47431159019470215},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47042083740234375},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.451656699180603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42388486862182617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4166434407234192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33392074704170227},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","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},{"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":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2021.3077271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3077271","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33945490","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33945490","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/c489aaf3-ec0c-4a7e-9b39-cd1834f06ac2","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/c489aaf3-ec0c-4a7e-9b39-cd1834f06ac2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang , C , Guo , X , Zhu , M , Ibragimov , B & Yuan , Y 2021 , ' Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation ' , IEEE Journal of Biomedical and Health Informatics , vol. 25 , no. 10 , pp. 3886-3897 . https://doi.org/10.1109/JBHI.2021.3077271","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G5102525846","display_name":null,"funder_award_id":"62001410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1901129140","https://openalex.org/W2021088830","https://openalex.org/W2034269173","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2518605621","https://openalex.org/W2795889831","https://openalex.org/W2892362405","https://openalex.org/W2895281799","https://openalex.org/W2896359486","https://openalex.org/W2904549000","https://openalex.org/W2932414082","https://openalex.org/W2962687275","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962825119","https://openalex.org/W2962927567","https://openalex.org/W2963052201","https://openalex.org/W2963240485","https://openalex.org/W2963858786","https://openalex.org/W2963881378","https://openalex.org/W2972285644","https://openalex.org/W2978573218","https://openalex.org/W2979515228","https://openalex.org/W2979853669","https://openalex.org/W2980073683","https://openalex.org/W2981429991","https://openalex.org/W2981512393","https://openalex.org/W2991153448","https://openalex.org/W2996290406","https://openalex.org/W2997286550","https://openalex.org/W2999417355","https://openalex.org/W2999580839","https://openalex.org/W3006040295","https://openalex.org/W3008070655","https://openalex.org/W3034562924","https://openalex.org/W3035294798","https://openalex.org/W3092344722","https://openalex.org/W3095725246","https://openalex.org/W3103943044","https://openalex.org/W3107909383","https://openalex.org/W6637618735","https://openalex.org/W6746282794","https://openalex.org/W6781241595"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W4405124681","https://openalex.org/W1533177136","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,135,189],"of":[2,16],"the":[3,12,59,65,68,103,134,156,184,206],"polyps":[4],"from":[5,37,58],"colonoscopy":[6,92,194],"images":[7,164],"provides":[8],"useful":[9],"information":[10,114],"for":[11,51],"diagnosis":[13],"and":[14,49,90,112,126,169,176,198],"treatment":[15],"colorectal":[17],"cancer.":[18],"Despite":[19],"deep":[20],"learning":[21],"methods":[22],"advance":[23],"automatic":[24],"polyp":[25,188],"segmentation,":[26],"their":[27],"performance":[28,66,190],"often":[29],"degrades":[30],"when":[31],"applied":[32],"to":[33,63,84,107,132,151,172],"new":[34,52],"data":[35],"acquired":[36],"different":[38],"scanners":[39],"or":[40],"sequences":[41],"(target":[42],"domain).":[43],"As":[44],"manual":[45],"annotation":[46],"is":[47,72],"tedious":[48],"labor-intensive":[50],"target":[53,70,157],"domain,":[54],"leveraging":[55],"knowledge":[56],"learned":[57],"labeled":[60],"source":[61],"domain":[62,71,86],"promote":[64],"in":[67,88,115,155,187],"unlabeled":[69],"highly":[73],"demanded.":[74],"In":[75],"this":[76],"work,":[77],"we":[78],"propose":[79],"a":[80,97,116,145],"mutual-prototype":[81,98],"adaptation":[82],"network":[83],"eliminate":[85],"shifts":[87],"multi-centers":[89],"multi-devices":[91],"images.":[93],"We":[94,181],"first":[95],"devise":[96],"alignment":[99],"(MPA)":[100],"module":[101,139,161],"with":[102],"prototype":[104],"relation":[105],"function":[106],"refine":[108],"features":[109],"through":[110,144],"self-domain":[111],"cross-domain":[113],"coarse-to-fine":[117],"process.":[118],"Then":[119],"two":[120],"auxiliary":[121],"modules:":[122],"progressive":[123],"self-training":[124,149],"(PST)":[125],"disentangled":[127],"reconstruction":[128],"(DR)":[129],"are":[130],"proposed":[131,185,207],"improve":[133],"performance.":[136],"The":[137,159,200],"PST":[138],"selects":[140],"reliable":[141],"pseudo":[142],"labels":[143],"novel":[146],"uncertainty":[147],"guided":[148],"loss":[150],"obtain":[152],"accurate":[153],"prototypes":[154,171],"domain.":[158],"DR":[160],"reconstructs":[162],"original":[163],"jointly":[165],"utilizing":[166],"prediction":[167],"results":[168,203],"private":[170],"maintain":[173],"semantic":[174],"consistency":[175],"provide":[177],"complement":[178],"supervision":[179],"information.":[180],"extensively":[182],"evaluate":[183],"model":[186,208],"on":[191],"three":[192],"conventional":[193],"datasets:":[195],"CVC-DB,":[196],"Kvasir-SEG,":[197],"ETIS-Larib.":[199],"comprehensive":[201],"experimental":[202],"demonstrate":[204],"that":[205],"outperforms":[209],"state-of-the-art":[210],"methods.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
