{"id":"https://openalex.org/W4389665061","doi":"https://doi.org/10.1109/jbhi.2023.3342422","title":"Unsupervised Domain Adaptation Fundus Image Segmentation via Multi-Scale Adaptive Adversarial Learning","display_name":"Unsupervised Domain Adaptation Fundus Image Segmentation via Multi-Scale Adaptive Adversarial Learning","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389665061","doi":"https://doi.org/10.1109/jbhi.2023.3342422","pmid":"https://pubmed.ncbi.nlm.nih.gov/38090822"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3342422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3342422","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/A5100638965","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0002-5931-3197"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["College of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5931-3197","affiliations":[{"raw_affiliation_string":"College of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050941469","display_name":"Jianhang Ji","orcid":"https://orcid.org/0000-0002-7733-3343"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhang Ji","raw_affiliation_strings":["College of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7733-3343","affiliations":[{"raw_affiliation_string":"College of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113246949","display_name":"Wei Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Cui","raw_affiliation_strings":["Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8513-5013","affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056210262","display_name":"Yingyuan Wang","orcid":"https://orcid.org/0009-0006-0967-1275"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyuan Wang","raw_affiliation_strings":["College of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0006-0967-1275","affiliations":[{"raw_affiliation_string":"College of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074492862","display_name":"Yugen Yi","orcid":"https://orcid.org/0000-0001-9828-0319"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugen Yi","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-9828-0319","affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9731,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92019077,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"28","issue":"10","first_page":"5792","last_page":"5803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9994999766349792,"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T11194","display_name":"Ocular Diseases and Beh\u00e7et\u2019s Syndrome","score":0.9434000253677368,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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":0.7582061290740967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7430698871612549},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6998615264892578},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.642017662525177},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.608629047870636},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.597338855266571},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5699683427810669},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5673444271087646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5417791604995728},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5367077589035034},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49680832028388977},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4854224622249603},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42228826880455017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3346312940120697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12482690811157227},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07042515277862549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582061290740967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7430698871612549},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6998615264892578},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.642017662525177},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.608629047870636},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.597338855266571},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5699683427810669},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5673444271087646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5417791604995728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5367077589035034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49680832028388977},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4854224622249603},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42228826880455017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3346312940120697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12482690811157227},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07042515277862549},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine 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":false},{"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":false},{"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":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":"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":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005901","descriptor_name":"Glaucoma","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":"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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009898","descriptor_name":"Optic Disk","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"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":false},{"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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3342422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3342422","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:38090822","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38090822","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2086286173","display_name":"\u57fa\u4e8e\u5f69\u8272\u773c\u5e95\u56fe\u50cf\u7684\u9752\u5149\u773c\u8f85\u52a9\u8bca\u65ad\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62062040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7216212697","display_name":null,"funder_award_id":"62041702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7644246552","display_name":null,"funder_award_id":"62102270","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":58,"referenced_works":["https://openalex.org/W1544741389","https://openalex.org/W1722318740","https://openalex.org/W1804882088","https://openalex.org/W1901129140","https://openalex.org/W2189051548","https://openalex.org/W2412782625","https://openalex.org/W2512450393","https://openalex.org/W2562469482","https://openalex.org/W2770645414","https://openalex.org/W2782364420","https://openalex.org/W2786808285","https://openalex.org/W2884366600","https://openalex.org/W2890602145","https://openalex.org/W2915496375","https://openalex.org/W2932414082","https://openalex.org/W2949477454","https://openalex.org/W2961056710","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963107255","https://openalex.org/W2963444790","https://openalex.org/W2963730393","https://openalex.org/W2979448322","https://openalex.org/W2979610451","https://openalex.org/W2979663271","https://openalex.org/W2980318461","https://openalex.org/W3028288447","https://openalex.org/W3033393628","https://openalex.org/W3086699076","https://openalex.org/W3094253649","https://openalex.org/W3096831136","https://openalex.org/W3101507774","https://openalex.org/W3102255912","https://openalex.org/W3108280956","https://openalex.org/W3115325129","https://openalex.org/W3139514168","https://openalex.org/W3164092155","https://openalex.org/W3168491317","https://openalex.org/W3171638912","https://openalex.org/W3203016301","https://openalex.org/W3204860763","https://openalex.org/W3208047812","https://openalex.org/W3213997247","https://openalex.org/W4200316488","https://openalex.org/W4210336610","https://openalex.org/W4226379819","https://openalex.org/W4295939732","https://openalex.org/W4296662814","https://openalex.org/W4320488954","https://openalex.org/W4362591220","https://openalex.org/W4365135227","https://openalex.org/W4383199429","https://openalex.org/W4385245566","https://openalex.org/W6632503621","https://openalex.org/W6687197975","https://openalex.org/W6741832134","https://openalex.org/W6767486985","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,18,72,167,178,193],"the":[2,13,21,101,115,134,143,165,176,191],"Optic":[3,7],"Disc":[4],"(OD)":[5],"and":[6,16,96,109,174,201,216],"Cup":[8],"(OC)":[9],"is":[10,83],"crucial":[11],"for":[12,32,100],"early":[14],"detection":[15],"treatment":[17],"glaucoma.":[19],"Despite":[20],"strides":[22],"made":[23],"in":[24,44,197,213],"deep":[25],"neural":[26],"networks,":[27],"incorporating":[28,158],"trained":[29],"segmentation":[30,102,203],"models":[31],"clinical":[33],"application":[34],"remains":[35],"challenging":[36],"due":[37],"to":[38,85,130,136,189],"domain":[39,61,93,172],"shifts":[40],"arising":[41],"from":[42],"disparities":[43],"fundus":[45,184],"images":[46],"across":[47],"different":[48,131],"healthcare":[49],"institutions.":[50],"To":[51,104],"tackle":[52],"this":[53,55,124],"challenge,":[54],"study":[56],"introduces":[57],"an":[58],"innovative":[59],"unsupervised":[60],"adaptation":[62],"technique":[63],"called":[64],"Multi-scale":[65,77],"Adaptive":[66,116],"Adversarial":[67],"Learning":[68],"(MAAL),":[69],"which":[70],"consists":[71],"three":[73],"key":[74],"components.":[75],"The":[76,205],"Wasserstein":[78],"Patch":[79],"Discriminator":[80],"(MWPD)":[81],"module":[82,125,148],"designed":[84],"extract":[86],"domain-specific":[87],"features":[88,151],"at":[89,153],"multiple":[90],"scales,":[91,132],"enhancing":[92],"classification":[94],"performance":[95],"offering":[97],"valuable":[98],"guidance":[99],"network.":[103],"further":[105],"enhance":[106],"model":[107,135,199],"generalizability":[108],"explore":[110],"domain-invariant":[111,168],"features,":[112],"we":[113],"introduce":[114],"Weighted":[117],"Domain":[118],"Constraint":[119],"(AWDC)":[120],"module.":[121],"During":[122],"training,":[123],"dynamically":[126],"assigns":[127],"varying":[128],"weights":[129],"allowing":[133],"adaptively":[137],"focus":[138],"on":[139],"informative":[140],"features.":[141,161,180],"Furthermore,":[142],"Pixel-level":[144],"Feature":[145],"Enhancement":[146],"(PFE)":[147],"enhances":[149],"low-level":[150],"extracted":[152],"shallow":[154],"network":[155],"layers":[156],"by":[157],"refined":[159],"high-level":[160],"This":[162],"integration":[163],"ensures":[164],"preservation":[166],"information,":[169],"effectively":[170],"addressing":[171],"variation":[173],"mitigating":[175,198],"loss":[177],"global":[179],"Two":[181],"publicly":[182],"accessible":[183],"image":[185],"databases":[186],"are":[187],"employed":[188],"demonstrate":[190],"effectiveness":[192],"our":[194],"MAAL":[195],"method":[196],"degradation":[200],"improving":[202],"performance.":[204],"achieved":[206],"results":[207],"outperform":[208],"current":[209],"state-of-the-art":[210],"(SOTA)":[211],"methods":[212],"both":[214],"OD":[215],"OC":[217],"segmentation.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}