{"id":"https://openalex.org/W3033159379","doi":"https://doi.org/10.1145/3372278.3390668","title":"Medical Image Retrieval: Applications and Resources","display_name":"Medical Image Retrieval: Applications and Resources","publication_year":2020,"publication_date":"2020-06-02","ids":{"openalex":"https://openalex.org/W3033159379","doi":"https://doi.org/10.1145/3372278.3390668","mag":"3033159379"},"language":"en","primary_location":{"id":"doi:10.1145/3372278.3390668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arodes.hes-so.ch/record/6976/files/Published%20version.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061961859","display_name":"Henning M\u00fcller","orcid":"https://orcid.org/0000-0001-6800-9878"},"institutions":[{"id":"https://openalex.org/I173439891","display_name":"HES-SO University of Applied Sciences and Arts Western Switzerland","ror":"https://ror.org/01xkakk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Henning M\u00fcller","raw_affiliation_strings":["University of Applied Sciences Western Switzerland, Sierre, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Western Switzerland, Sierre, Switzerland","institution_ids":["https://openalex.org/I173439891"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061961859"],"corresponding_institution_ids":["https://openalex.org/I173439891"],"apc_list":null,"apc_paid":null,"fwci":0.3928,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.61151127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9921000003814697,"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":0.6980155110359192},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.6622055768966675},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.635589599609375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5713324546813965},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.49369558691978455},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.49204131960868835},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4752609133720398},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.4422059953212738},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4141026735305786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28802746534347534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.272259920835495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16710975766181946},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15380257368087769},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.14400771260261536},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09828448295593262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980155110359192},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.6622055768966675},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.635589599609375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5713324546813965},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.49369558691978455},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.49204131960868835},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4752609133720398},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.4422059953212738},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4141026735305786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28802746534347534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.272259920835495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16710975766181946},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15380257368087769},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.14400771260261536},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09828448295593262},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3372278.3390668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:hesso.tind.io:6976","is_oa":true,"landing_page_url":"http://arodes.hes-so.ch/record/6976","pdf_url":"https://arodes.hes-so.ch/record/6976/files/Published%20version.pdf","source":{"id":"https://openalex.org/S4306402432","display_name":"ArODES (HES-SO (https://www.hes-so.ch/))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210088449","host_organization_name":"HES-SO Gen\u00e8ve","host_organization_lineage":["https://openalex.org/I4210088449"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arodes.hes-so.ch/record/6976","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:hesso.tind.io:6976","is_oa":true,"landing_page_url":"http://arodes.hes-so.ch/record/6976","pdf_url":"https://arodes.hes-so.ch/record/6976/files/Published%20version.pdf","source":{"id":"https://openalex.org/S4306402432","display_name":"ArODES (HES-SO (https://www.hes-so.ch/))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210088449","host_organization_name":"HES-SO Gen\u00e8ve","host_organization_lineage":["https://openalex.org/I4210088449"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arodes.hes-so.ch/record/6976","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033159379.pdf","grobid_xml":"https://content.openalex.org/works/W3033159379.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1976134597","https://openalex.org/W2052271957","https://openalex.org/W2067022724","https://openalex.org/W2113180829","https://openalex.org/W2157640836"],"related_works":["https://openalex.org/W1539704186","https://openalex.org/W4254109238","https://openalex.org/W2399890175","https://openalex.org/W4308177873","https://openalex.org/W3202479762","https://openalex.org/W2480493049","https://openalex.org/W4322582183","https://openalex.org/W2592115649","https://openalex.org/W1937392525","https://openalex.org/W2347632764"],"abstract_inverted_index":{"Motivation:":[0],"Medical":[1,283,387,403,505],"imaging":[2],"is":[3,89,213,218,231,313,448,463,529,538,543],"one":[4],"of":[5,27,37,47,83,95,129,156,185,210,248,262,269,327,333,445,459,499,562],"the":[6,11,15,45,81,108,127,134,137,176,198,208,263,328,381,457,472,512,535,573],"largest":[7],"data":[8,335,388,422,446,500],"producers":[9],"in":[10,44,66,91,119,133,187,214,224,380,393,399,443,554,572],"world":[12],"and":[13,29,51,75,97,101,190,237,253,271,289,307,318,337,396,479,516,540,557,577],"over":[14,275,511],"last":[16],"30":[17,514],"years":[18,347,515],"this":[19],"production":[20],"increased":[21],"exponentially":[22],"via":[23,354,372],"a":[24,30,48,52,57,84,153,164,195,233,259,331,425,430,437,555],"larger":[25],"number":[26],"images":[28,40,59,96,186,468,478],"higher":[31],"resolution,":[32],"plus":[33],"totally":[34],"new":[35],"types":[36,184],"images.":[38],"Most":[39],"are":[41,61,69,296,389,566],"used":[42,62,223],"only":[43,169,221],"context":[46],"single":[49,53,85,408],"patient":[50,438],"time":[54,276,458],"point,":[55],"besides":[56],"few":[58,165],"that":[60,131,180,229,265,273,340,350,476,494,568],"for":[63,80,139,197,235,242,251,305,424,461,467,590],"publications":[64],"or":[65,123,371,378,410,552],"teaching.":[67],"Data":[68],"usually":[70,469],"scattered":[71],"across":[72],"many":[73,183,267,290,394,564],"institutions":[74],"cannot":[76],"be":[77,487,518,583],"combined":[78],"even":[79,345,398],"treatment":[82],"patient.":[86],"Much":[87],"knowledge":[88,114],"stored":[90],"these":[92,482],"medical":[93,103,158,240],"archives":[94],"other":[98,338],"clinical":[99,225,300,525],"information":[100,118],"content-based":[102],"image":[104,159,211,411,506],"retrieval":[105,160,212,285,295,404,412,507],"has":[106,161,286,320,405,508],"from":[107,163,407],"start":[109],"aimed":[110],"at":[111,151,204,206,436],"making":[112],"such":[113,356,375],"accessible":[115,392],"using":[116,167],"visual":[117,173],"combination":[120],"with":[121,316,471,490,520,550],"text":[122,409,474],"structured":[124],"data.":[125],"With":[126],"digitization":[128],"radiology":[130],"started":[132],"mid":[135],"1990s":[136],"foundation":[138],"broader":[140],"use":[141,191,247,420],"was":[142],"laid":[143],"out.":[144],"Problem":[145],"statement:":[146],"This":[147],"keynote":[148],"presentation":[149,257,329],"aims":[150,203],"giving":[152],"historical":[154],"perspective":[155],"how":[157],"evolved":[162,287,509],"prototypes":[166],"first":[168],"text,":[170],"then":[171],"global":[172],"features":[174],"to":[175,293,343,413,419,428,452,486,501,547,582,587],"current":[177],"multimodal":[178,414],"systems":[179,270],"can":[181,517],"index":[182],"large":[188,400,497],"quantities":[189],"deep":[192,491],"learning":[193,492],"as":[194,299,357,456,545,549],"basis":[196],"tools":[199,241,280,291,317],"[1,2,3,4].":[200],"It":[201,227],"also":[202,533,571,580],"looking":[205,435],"what":[207,429],"place":[209],"medicine,":[215],"where":[216],"it":[217,230,528],"currently":[219],"still":[220,530],"sparsely":[222],"practice.":[226],"seems":[228],"mainly":[232,304],"tool":[234],"teaching":[236],"research.":[238],"Certified":[239],"decision":[243,301,526],"support":[244,302],"rather":[245,450],"make":[246],"specific":[249],"approaches":[250,272,415,493],"detection":[252,306,551],"classification.":[254,308],"Approach:":[255],"The":[256,440],"follows":[258],"systematic":[260],"review":[261],"domain":[264],"includes":[266,330],"examples":[268],"changed":[274],"when":[277],"better":[278],"performing":[279],"became":[281],"available.":[282],"mage":[284,294],"strongly,":[288],"linked":[292,451],"now":[297,390,449],"employed":[298],"but":[303,312,349],"Retrieval":[309],"remains":[310],"useful":[311],"often":[314,397],"integrated":[315,519],"thus":[319],"become":[321],"almost":[322],"invisible.":[323],"A":[324],"second":[325],"aspect":[326],"presentations":[332],"existing":[334],"sets":[336],"resources":[339,565],"were":[341],"difficult":[342],"obtain":[344],"ten":[346],"ago,":[348],"have":[351],"been":[352],"shared":[353],"repositories":[355],"TCGA":[358],"(The":[359,366],"Cancer":[360,367],"Genome":[361],"Atlas,":[362],"https://www.cancer.gov/about-nci/organization/ccg/":[363],"research/structural-genomics/tcga),":[364],"TCIA":[365],"Imaging":[368],"Archive,":[369],"https://www.cancerimagingarchive.net),":[370],"scientific":[373],"challenges":[374],"ImageCLEF":[376],"[5]":[377],"listed":[379],"Grand":[382],"Challenges":[383],"web":[384],"page":[385],"(https://grand-challenge.org).":[386],"easily":[391],"fields":[395],"quantities.":[401],"Discussion:":[402],"gone":[406],"[6],":[416],"really":[417],"aiming":[418],"all":[421],"available":[423,567],"case,":[426],"similar":[427],"physician":[431],"would":[432],"do":[433],"by":[434],"holistically.":[439],"limiting":[441],"factor":[442],"terms":[444,561],"access":[447],"limited":[453,558],"manual":[454],"annotations,":[455],"clinicians":[460],"annotations":[462],"expensive.":[464],"Global":[465],"labels":[466,484],"exist":[470],"associated":[473],"reports":[475],"describe":[477],"outcomes.":[480],"Still,":[481,575],"weak":[483],"need":[485,581],"made":[488],"usable":[489],"possibly":[495],"require":[496],"amounts":[498],"generalize":[502],"well.":[503],"Conclusions:":[504],"strongly":[510],"past":[513],"several":[521],"tools.":[522],"For":[523],"real":[524],"support,":[527],"rarely":[531],"used,":[532],"because":[534],"certification":[536,576],"process":[537],"tedious":[539],"commercial":[541],"benefit":[542],"not":[544],"easy":[546],"show,":[548],"classification":[553],"clear":[556],"scenario.":[559],"In":[560],"research":[563],"allow":[569],"advances":[570],"future.":[574],"ethical":[578],"aspects":[579],"taken":[584],"into":[585],"account":[586],"limit":[588],"risks":[589],"individuals.":[591]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}