{"id":"https://openalex.org/W3211589881","doi":"https://doi.org/10.1109/access.2021.3128174","title":"Minimizing-Entropy and Fourier Consistency Network for Domain Adaptation on Optic Disc and Cup Segmentation","display_name":"Minimizing-Entropy and Fourier Consistency Network for Domain Adaptation on Optic Disc and Cup Segmentation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3211589881","doi":"https://doi.org/10.1109/access.2021.3128174","mag":"3211589881"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3128174","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3128174","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2021.3128174","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050047721","display_name":"Shaopeng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I2802534033","display_name":"Tianjin Medical University General Hospital","ror":"https://ror.org/003sav965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802534033"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Peng Xu","raw_affiliation_strings":["Department of Cardiology, Tianjin Medical University General Hospital, 300052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Tianjin Medical University General Hospital, 300052, China","institution_ids":["https://openalex.org/I2802534033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012498645","display_name":"Tian-Bao Li","orcid":"https://orcid.org/0000-0001-6543-5660"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Bao Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, 300192, China"],"raw_orcid":"https://orcid.org/0000-0001-6543-5660","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, 300192, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhe-Qi Zhang","orcid":"https://orcid.org/0000-0001-7997-9466"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe-Qi Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, 300192, China. (e-mail: zhangzheqi20@tju.edu.cn)","ORCiD","School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7997-9466","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, 300192, China. (e-mail: zhangzheqi20@tju.edu.cn)","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100634207","display_name":"Dan Song","orcid":"https://orcid.org/0000-0002-5864-0276"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Song","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, 300192, China"],"raw_orcid":"https://orcid.org/0000-0002-5864-0276","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, 300192, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7607,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70925713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"153985","last_page":"153994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9933000206947327,"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":0.9933000206947327,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7833417654037476},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7736450433731079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7006092071533203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5231508016586304},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4729554355144501},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.453438401222229},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4306292235851288},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3526952266693115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833417654037476},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7736450433731079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006092071533203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5231508016586304},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4729554355144501},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.453438401222229},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4306292235851288},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3526952266693115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3128174","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3128174","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:da6af6d370fa467e9657ee7e7f84c9bf","is_oa":true,"landing_page_url":"https://doaj.org/article/da6af6d370fa467e9657ee7e7f84c9bf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 153985-153994 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3128174","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3128174","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1995875735","https://openalex.org/W2034786340","https://openalex.org/W2057266151","https://openalex.org/W2096070062","https://openalex.org/W2108598243","https://openalex.org/W2189051548","https://openalex.org/W2562192638","https://openalex.org/W2647752072","https://openalex.org/W2782364420","https://openalex.org/W2795078241","https://openalex.org/W2805657784","https://openalex.org/W2805899143","https://openalex.org/W2890602145","https://openalex.org/W2890764477","https://openalex.org/W2895281799","https://openalex.org/W2915496375","https://openalex.org/W2917714716","https://openalex.org/W2941075605","https://openalex.org/W2942076346","https://openalex.org/W2945789372","https://openalex.org/W2949477454","https://openalex.org/W2950111065","https://openalex.org/W2961056710","https://openalex.org/W2961719490","https://openalex.org/W2962189327","https://openalex.org/W2962808524","https://openalex.org/W2962976523","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963250052","https://openalex.org/W2963403405","https://openalex.org/W2964019233","https://openalex.org/W2964309882","https://openalex.org/W2970663378","https://openalex.org/W2972285644","https://openalex.org/W2976384268","https://openalex.org/W2979430722","https://openalex.org/W2979448322","https://openalex.org/W2979610451","https://openalex.org/W2980302804","https://openalex.org/W3005044179","https://openalex.org/W3006040295","https://openalex.org/W3015198908","https://openalex.org/W3028288447","https://openalex.org/W3034417116","https://openalex.org/W3034562924","https://openalex.org/W3035294798","https://openalex.org/W3080827299","https://openalex.org/W3101507774","https://openalex.org/W3102255912","https://openalex.org/W3103835616","https://openalex.org/W3108280956","https://openalex.org/W3120119193","https://openalex.org/W3122431193","https://openalex.org/W3164092155","https://openalex.org/W3170700905","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6685777725","https://openalex.org/W6687197975","https://openalex.org/W6730623217","https://openalex.org/W6746282794","https://openalex.org/W6748481559","https://openalex.org/W6755287564"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automated":[0],"segmentation":[1,48,55,79,128,142,168,230],"of":[2,21,46,54,78,91,127,139,165,175,201,219,228,254,267],"the":[3,19,36,43,47,52,57,75,89,105,115,118,125,136,140,146,156,163,166,172,176,182,187,192,196,202,213,220,225,229,235,238,252,261,265,268],"optic":[4,8],"disc":[5],"(OD)":[6],"and":[7,23,32,86,107,120,123,216,240,260],"cup":[9],"(OC)":[10],"from":[11],"different":[12,40,269],"datasets":[13,41,250],"plays":[14],"an":[15,83,99],"important":[16],"role":[17],"in":[18,28,56,195],"diagnosis":[20],"glaucoma":[22],"greatly":[24],"saves":[25],"human":[26],"resources":[27],"both":[29],"data":[30,160],"annotation":[31],"image":[33,249],"segmentation.":[34],"However,":[35],"domain":[37,70,101,147,159,178,184,222],"shift":[38],"between":[39,117,237],"suppresses":[42],"generalization":[44],"ability":[45,77],"network,":[49,103],"especially":[50],"damaging":[51],"performance":[53],"target":[58,121,158,177,183,197,221,241],"domain,":[59],"which":[60],"is":[61,153,210],"unlabeled.":[62],"Therefore,":[63],"using":[64],"a":[65,206],"transfer":[66],"learning":[67],"algorithm":[68],"or":[69],"adaptation":[71,102],"method":[72],"to":[73,113,144,155,161,223],"enhance":[74,171],"migration":[76],"models":[80],"has":[81,87],"become":[82],"essential":[84],"step":[85],"attracted":[88],"attention":[90],"many":[92],"researchers.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,131,180],"propose":[98],"unsupervised":[100],"called":[104],"Minimizing-entropy":[106],"Fourier":[108,188],"Domain":[109],"Adaptation":[110],"network":[111],"(MeFDA),":[112],"narrow":[114],"discrepancy":[116,236],"source":[119,203,239],"domains":[122],"prevent":[124],"degradation":[126],"performance.":[129],"First,":[130],"perform":[132],"adversarial":[133],"optimization":[134,152],"on":[135,212,244],"entropy":[137],"maps":[138],"predicted":[141],"results":[143],"alleviate":[145],"shift.":[148],"Then,":[149,205],"direct":[150],"entropy-minimization":[151],"applied":[154],"unlabeled":[157],"improve":[162,224],"credibility":[164],"prediction":[167,173,226],"maps.":[169],"To":[170],"consistency":[174,208,227],"data,":[179],"augment":[181],"dataset":[185],"through":[186],"transform":[189],"by":[190],"replacing":[191],"low-frequency":[193],"part":[194],"images":[198,215,218],"with":[199,257],"that":[200],"images.":[204],"semantic":[207],"constraint":[209],"imposed":[211],"raw":[214],"augmented":[217],"model,":[231],"thereby":[232],"further":[233],"narrowing":[234],"domains.":[242],"Experiments":[243],"several":[245],"public":[246],"retinal":[247],"fundus":[248],"prove":[251],"superiority":[253],"MeFDA":[255],"compared":[256],"state-of-the-art":[258],"methods,":[259],"ablation":[262],"study":[263],"analyzes":[264],"importance":[266],"proposed":[270],"components.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}