{"id":"https://openalex.org/W4408564447","doi":"https://doi.org/10.1109/tbdata.2025.3552342","title":"MHT-Net: A Matching-Based Hierarchical Transfer Network for Glaucoma Detection From Fundus Images","display_name":"MHT-Net: A Matching-Based Hierarchical Transfer Network for Glaucoma Detection From Fundus Images","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408564447","doi":"https://doi.org/10.1109/tbdata.2025.3552342"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2025.3552342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3552342","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-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/A5100566437","display_name":"Linna Zhao","orcid":"https://orcid.org/0000-0001-8519-4809"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linna Zhao","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8519-4809","affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393878","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0003-0651-6625"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0651-6625","affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104955370","display_name":"Li Li","orcid":null},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210144404","display_name":"Beijing Children\u2019s Hospital","ror":"https://ror.org/04skmn292","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210144404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["Beijing Children's Hospital affiliated to Capital Medical University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Children's Hospital affiliated to Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381","https://openalex.org/I4210144404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108897090","display_name":"Xi Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Xu","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5269-0651","affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7059,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6518927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"5","first_page":"2681","last_page":"2695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9980999827384949,"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":0.9980999827384949,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9276999831199646,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8169313669204712},{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.604705810546875},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5468248724937439},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.542951762676239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.498502254486084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4664784073829651},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.19814082980155945},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0757988691329956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8169313669204712},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.604705810546875},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5468248724937439},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.542951762676239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.498502254486084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4664784073829651},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.19814082980155945},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0757988691329956},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2025.3552342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3552342","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4489384488","display_name":null,"funder_award_id":"62406012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7161482438","display_name":null,"funder_award_id":"82371093","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":45,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1917574908","https://openalex.org/W1928906481","https://openalex.org/W1971014294","https://openalex.org/W1972027273","https://openalex.org/W1974969377","https://openalex.org/W2022710429","https://openalex.org/W2034786340","https://openalex.org/W2060452408","https://openalex.org/W2061997187","https://openalex.org/W2160605010","https://openalex.org/W2293295816","https://openalex.org/W2402050431","https://openalex.org/W2534129789","https://openalex.org/W2562274121","https://openalex.org/W2593768305","https://openalex.org/W2615940701","https://openalex.org/W2765268259","https://openalex.org/W2793119512","https://openalex.org/W2893356526","https://openalex.org/W2958184188","https://openalex.org/W2979412538","https://openalex.org/W2979616729","https://openalex.org/W3152497941","https://openalex.org/W3213172284","https://openalex.org/W4205608262","https://openalex.org/W4282914744","https://openalex.org/W4292318628","https://openalex.org/W4307231575","https://openalex.org/W4315783369","https://openalex.org/W4319663597","https://openalex.org/W4321452380","https://openalex.org/W4378220230","https://openalex.org/W4380445884","https://openalex.org/W4385209807","https://openalex.org/W4386914812","https://openalex.org/W4387846891","https://openalex.org/W4387898479","https://openalex.org/W4388052835","https://openalex.org/W4388229169","https://openalex.org/W4392237857","https://openalex.org/W4399139471","https://openalex.org/W4399527790","https://openalex.org/W4399980798","https://openalex.org/W4400579020"],"related_works":["https://openalex.org/W2082087664","https://openalex.org/W2070104888","https://openalex.org/W4285351923","https://openalex.org/W4389542577","https://openalex.org/W2885840481","https://openalex.org/W4240661191","https://openalex.org/W1998930228","https://openalex.org/W2554284482","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Glaucoma":[0],"is":[1,20,131],"a":[2,77,89,104,118,127,140,190],"chronic":[3],"and":[4,10,66,111,138,149,159],"irreversible":[5],"eye":[6],"disease.":[7],"Early":[8],"detection":[9,182],"treatment":[11],"can":[12],"effectively":[13],"prevent":[14],"severe":[15],"consequences.":[16],"Deep":[17],"transfer":[18,129,161],"learning":[19],"widely":[21],"used":[22],"in":[23,48,195],"fundus":[24,105,163],"imaging":[25],"analysis":[26],"to":[27,45,53,96,108,167],"remedy":[28],"the":[29,40,49,152,173,196],"shortage":[30],"of":[31,34,117,162,175],"training":[32],"data":[33],"glaucoma.":[35],"The":[36],"model":[37,121,153],"trained":[38],"on":[39],"source":[41,123,166],"domain":[42,51,124,141],"may":[43],"struggle":[44],"predict":[46],"glaucoma":[47,99,181,197],"target":[50,168],"due":[52],"distribution":[54],"differences.":[55],"Several":[56],"limitations":[57],"cannot":[58],"be":[59],"ignored:":[60],"(1)":[61],"Image":[62],"matching:":[63],"enhancing":[64],"global":[65,110],"local":[67,112],"image":[68],"consistency":[69],"through":[70],"bidirectional":[71],"matching;":[72],"(2)":[73],"Hierarchical":[74,92],"transfer:":[75],"developing":[76],"strategy":[78],"for":[79,135,143],"transferring":[80],"different":[81],"hierarchical":[82,128],"features.":[83,145],"To":[84],"this":[85],"end,":[86],"we":[87],"propose":[88],"novel":[90],"Matched":[91],"Transfer":[93],"Network":[94],"(MHT-Net)":[95],"achieve":[97],"automatic":[98],"detection.":[100],"We":[101],"initially":[102],"create":[103],"structure":[106],"detector":[107],"match":[109],"images":[113],"using":[114,139],"intermediate":[115],"layers":[116],"pre-trained":[119],"diagnostic":[120],"with":[122],"data.":[125],"Next,":[126],"network":[130],"implemented,":[132],"sharing":[133],"parameters":[134],"general":[136],"features":[137],"discriminator":[142],"specific":[144],"By":[146],"integrating":[147],"adversarial":[148],"classification":[150],"losses,":[151],"acquires":[154],"domain-invariant":[155],"features,":[156],"facilitating":[157],"precise":[158],"seamless":[160],"information":[164],"from":[165],"domains.":[169],"Extensive":[170],"experiments":[171],"demonstrate":[172],"effectiveness":[174],"our":[176,187],"proposed":[177],"method,":[178],"outperforming":[179],"existing":[180],"methods.":[183],"These":[184],"advantages":[185],"endow":[186],"algorithm":[188],"as":[189],"promising":[191],"efficient":[192],"assisted":[193],"tool":[194],"screening.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}