{"id":"https://openalex.org/W4377232666","doi":"https://doi.org/10.1109/access.2023.3278376","title":"Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning","display_name":"Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377232666","doi":"https://doi.org/10.1109/access.2023.3278376"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3278376","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3278376","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10130284.pdf","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://ieeexplore.ieee.org/ielx7/6287639/10005208/10130284.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008489651","display_name":"Yunyan Xing","orcid":"https://orcid.org/0000-0001-8886-8602"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yunyan Xing","raw_affiliation_strings":["Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8886-8602","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103937453","display_name":"Benjamin J. Meyer","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Benjamin J. Meyer","raw_affiliation_strings":["Melbourne Connect, University of Melbourne, Parkville, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Melbourne Connect, University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021790939","display_name":"Mehrtash Harandi","orcid":"https://orcid.org/0000-0002-6937-6300"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mehrtash Harandi","raw_affiliation_strings":["Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6937-6300","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017469047","display_name":"Tom Drummond","orcid":"https://orcid.org/0000-0001-8204-5904"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tom Drummond","raw_affiliation_strings":["Melbourne Connect, University of Melbourne, Parkville, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Melbourne Connect, University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005014252","display_name":"Zongyuan Ge","orcid":"https://orcid.org/0000-0002-5880-8673"},"institutions":[{"id":"https://openalex.org/I2801350665","display_name":"Monash Medical Centre","ror":"https://ror.org/036s9kg65","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I2801350665","https://openalex.org/I4210121067"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zongyuan Ge","raw_affiliation_strings":["Monash-Airdoc Research, Monash University, Clayton, VIC, Australia","Monash Medical AI, Monash eResearch Centre, Monash University, Clayton, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5880-8673","affiliations":[{"raw_affiliation_string":"Monash-Airdoc Research, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"Monash Medical AI, Monash eResearch Centre, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I2801350665","https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":2.1333,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89369243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"50165","last_page":"50179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9940999746322632,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9940999746322632,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9898999929428101,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9868999719619751,"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/interpretability","display_name":"Interpretability","score":0.7565503120422363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524043321609497},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6497337818145752},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.552095890045166},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5470482110977173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5366873741149902},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4966893792152405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4376305639743805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37600404024124146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3260457217693329},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22907641530036926}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7565503120422363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524043321609497},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6497337818145752},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.552095890045166},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5470482110977173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5366873741149902},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4966893792152405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4376305639743805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37600404024124146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3260457217693329},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22907641530036926},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3278376","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3278376","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10130284.pdf","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:f4e39545615445459d15d3927c0dbc78","is_oa":true,"landing_page_url":"https://doaj.org/article/f4e39545615445459d15d3927c0dbc78","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 11, Pp 50165-50179 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3278376","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3278376","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10130284.pdf","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":[{"display_name":"Peace, Justice and strong institutions","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377232666.pdf","grobid_xml":"https://content.openalex.org/works/W4377232666.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W401096764","https://openalex.org/W1522301498","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W2074668987","https://openalex.org/W2096733369","https://openalex.org/W2098371241","https://openalex.org/W2130556178","https://openalex.org/W2138621090","https://openalex.org/W2144935315","https://openalex.org/W2157364932","https://openalex.org/W2171590421","https://openalex.org/W2187089797","https://openalex.org/W2295070120","https://openalex.org/W2305410628","https://openalex.org/W2464915613","https://openalex.org/W2470610394","https://openalex.org/W2555897561","https://openalex.org/W2601450892","https://openalex.org/W2605102252","https://openalex.org/W2606611007","https://openalex.org/W2611650229","https://openalex.org/W2753282939","https://openalex.org/W2760880057","https://openalex.org/W2767899110","https://openalex.org/W2803760365","https://openalex.org/W2810894210","https://openalex.org/W2891093866","https://openalex.org/W2953271441","https://openalex.org/W2962887033","https://openalex.org/W2963026686","https://openalex.org/W2963446712","https://openalex.org/W2963466845","https://openalex.org/W2963691855","https://openalex.org/W2963713828","https://openalex.org/W2964052837","https://openalex.org/W2964105864","https://openalex.org/W2968463090","https://openalex.org/W2982392870","https://openalex.org/W2991234496","https://openalex.org/W3019704403","https://openalex.org/W3034202663","https://openalex.org/W3093149564","https://openalex.org/W3101156210","https://openalex.org/W3106778652","https://openalex.org/W3114632476","https://openalex.org/W3128741952","https://openalex.org/W3169978600","https://openalex.org/W3198980763","https://openalex.org/W3209993370","https://openalex.org/W4288860281","https://openalex.org/W4293740506","https://openalex.org/W4297730339","https://openalex.org/W4307092192","https://openalex.org/W4320500542","https://openalex.org/W6631190155","https://openalex.org/W6675751002","https://openalex.org/W6680962578","https://openalex.org/W6693735323","https://openalex.org/W6697517608","https://openalex.org/W6730323794","https://openalex.org/W6735236233","https://openalex.org/W6747227044","https://openalex.org/W6765710127","https://openalex.org/W6766667439","https://openalex.org/W6774410965","https://openalex.org/W6840975079","https://openalex.org/W6842044333"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4310922872"],"abstract_inverted_index":{"Content-based":[0],"medical":[1,107,209],"image":[2,29,122,188],"retrieval":[3,30,90,123,189],"is":[4,31,48,173,196],"an":[5],"important":[6],"diagnostic":[7],"tool":[8],"that":[9,70,136,147,183],"improves":[10,201],"the":[11,44,64,149,161],"explainability":[12],"of":[13,66,170],"computer-aided":[14,214],"diagnosis":[15,215],"systems":[16,190],"and":[17,91,124,191,218],"provides":[18],"decision-making":[19],"support":[20],"to":[21,27,63,85,133,158,207,212],"healthcare":[22],"professionals.":[23],"A":[24],"common":[25],"approach":[26,172],"content-based":[28,121],"learning":[32,54,59,118],"a":[33,40,49,76,81,113,144],"distance":[34,45],"metric":[35,53,117],"by":[36],"transforming":[37],"images":[38],"into":[39],"feature":[41,68,145],"space":[42,146],"where":[43],"between":[46,152,163],"samples":[47,131,164],"similarity":[50],"measure.":[51],"Proxy":[52],"methods":[55,95],"are":[56,96],"effective":[57],"at":[58],"this":[60],"transformation":[61],"due":[62],"use":[65,213],"proxy":[67,83,116],"vectors":[69],"enable":[71],"efficient":[72],"learning.":[73],"Training":[74],"with":[75],"distance-based":[77],"classification":[78],"loss":[79],"enables":[80],"single":[82],"model":[84],"be":[86],"suitable":[87],"for":[88,99,105,120],"both":[89],"classification.":[92,125],"However,":[93],"these":[94],"designed":[97],"only":[98],"single-label":[100],"data,":[101],"making":[102],"them":[103],"unsuitable":[104],"multimorbidity":[106,178],"images.":[108],"Addressing":[109],"this,":[110],"we":[111],"propose":[112],"novel":[114],"multi-label":[115],"method":[119,185,195],"Unlike":[126],"existing":[127],"proxy-based":[128],"methods,":[129],"training":[130],"assign":[132],"multiple":[134,138],"proxies":[135,157],"span":[137],"class":[139],"labels.":[140],"This":[141],"results":[142],"in":[143],"encodes":[148],"complex":[150],"relationships":[151,162],"diseases.":[153,167],"We":[154],"introduce":[155],"negative":[156],"better":[159],"encode":[160],"without":[165],"detected":[166],"The":[168],"efficacy":[169],"our":[171,184],"demonstrated":[174],"experimentally":[175],"on":[176,202],"two":[177,203],"radiology":[179],"datasets.":[180],"Results":[181],"show":[182],"outperforms":[186],"state-of-the-art":[187],"baseline":[192],"approaches.":[193],"Our":[194],"clinically":[197],"significant":[198],"as":[199],"it":[200],"key":[204],"factors":[205],"shown":[206],"affect":[208],"professionals\u2019":[210],"willingness":[211],"systems:":[216],"accuracy":[217],"interpretability.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}