{"id":"https://openalex.org/W2409700884","doi":"https://doi.org/10.1587/transinf.2015edp7207","title":"A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions","display_name":"A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2409700884","doi":"https://doi.org/10.1587/transinf.2015edp7207","mag":"2409700884"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2015edp7207","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7207","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDP7207/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDP7207/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066512144","display_name":"Hyun\u2010chong Cho","orcid":"https://orcid.org/0000-0003-2122-468X"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]},{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]},{"id":"https://openalex.org/I4210147194","display_name":"Convergence","ror":"https://ror.org/03kcznq08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210147194"]}],"countries":["KR","US"],"is_corresponding":true,"raw_author_name":"Hyun-chong CHO","raw_affiliation_strings":["Department of Internal Medicine & Institute of Health Sciences, Gyeongsang National University","Interdisciplinary Graduate Program for BIT Medical Convergence & Division of Electrical and Electronic Engineering, Kangwon National University"],"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine & Institute of Health Sciences, Gyeongsang National University","institution_ids":["https://openalex.org/I189442560"]},{"raw_affiliation_string":"Interdisciplinary Graduate Program for BIT Medical Convergence & Division of Electrical and Electronic Engineering, Kangwon National University","institution_ids":["https://openalex.org/I165507594","https://openalex.org/I4210147194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087281080","display_name":"Lubomir M. Hadjiiski","orcid":"https://orcid.org/0000-0003-2069-8066"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lubomir HADJIISKI","raw_affiliation_strings":["Department of Radiology, University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073468417","display_name":"Berkman Sahiner","orcid":"https://orcid.org/0000-0003-2804-2264"},"institutions":[{"id":"https://openalex.org/I4210149736","display_name":"Food and Drug Administration","ror":"https://ror.org/05hvrsg85","country_code":"TH","type":"government","lineage":["https://openalex.org/I4210149736"]},{"id":"https://openalex.org/I1320320070","display_name":"United States Food and Drug Administration","ror":"https://ror.org/034xvzb47","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1320320070"]}],"countries":["TH","US"],"is_corresponding":false,"raw_author_name":"Berkman SAHINER","raw_affiliation_strings":["US Food and Drug Administration (FDA)"],"affiliations":[{"raw_affiliation_string":"US Food and Drug Administration (FDA)","institution_ids":["https://openalex.org/I4210149736","https://openalex.org/I1320320070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027247097","display_name":"Heang\u2010Ping Chan","orcid":"https://orcid.org/0000-0001-7777-9006"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heang-Ping CHAN","raw_affiliation_strings":["Department of Radiology, University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045832765","display_name":"Chintana Paramagul","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chintana PARAMAGUL","raw_affiliation_strings":["Department of Radiology, University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073769753","display_name":"Mark A. Helvie","orcid":"https://orcid.org/0000-0002-4415-4525"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark HELVIE","raw_affiliation_strings":["Department of Radiology, University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113654163","display_name":"Alexis V. Nees","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexis V. NEES","raw_affiliation_strings":["Department of Radiology, University of Michigan"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019936891","display_name":"Hyun Chin Cho","orcid":"https://orcid.org/0000-0001-7750-474X"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]},{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]},{"id":"https://openalex.org/I4210147194","display_name":"Convergence","ror":"https://ror.org/03kcznq08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210147194"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Hyun Chin CHO","raw_affiliation_strings":["Department of Internal Medicine & Institute of Health Sciences, Gyeongsang National University","Interdisciplinary Graduate Program for BIT Medical Convergence & Division of Electrical and Electronic Engineering, Kangwon National University"],"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine & Institute of Health Sciences, Gyeongsang National University","institution_ids":["https://openalex.org/I189442560"]},{"raw_affiliation_string":"Interdisciplinary Graduate Program for BIT Medical Convergence & Division of Electrical and Electronic Engineering, Kangwon National University","institution_ids":["https://openalex.org/I165507594","https://openalex.org/I4210147194"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5066512144"],"corresponding_institution_ids":["https://openalex.org/I165507594","https://openalex.org/I189442560","https://openalex.org/I4210147194"],"apc_list":null,"apc_paid":null,"fwci":0.4417,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78447701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"E99.D","issue":"6","first_page":"1663","last_page":"1670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9988999962806702,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.7787694334983826},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.6776350736618042},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6236560344696045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5627057552337646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5189787745475769},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5132656097412109},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5029212832450867},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4957621991634369},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4587365388870239},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.4386036694049835},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4325541853904724},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.4212374687194824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2716634273529053},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20379233360290527},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.1839880347251892},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1484064757823944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787694334983826},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.6776350736618042},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6236560344696045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5627057552337646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5189787745475769},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5132656097412109},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5029212832450867},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4957621991634369},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4587365388870239},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.4386036694049835},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4325541853904724},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.4212374687194824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2716634273529053},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20379233360290527},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.1839880347251892},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1484064757823944},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2015edp7207","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7207","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDP7207/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2015edp7207","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7207","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDP7207/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G716984247","display_name":null,"funder_award_id":"CA 118305","funder_id":"https://openalex.org/F4320332505","funder_display_name":"U.S. Public Health Service"}],"funders":[{"id":"https://openalex.org/F4320321248","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17"},{"id":"https://openalex.org/F4320332505","display_name":"U.S. Public Health Service","ror":"https://ror.org/05xf94514"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2409700884.pdf","grobid_xml":"https://content.openalex.org/works/W2409700884.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1664623720","https://openalex.org/W1970091020","https://openalex.org/W1983093502","https://openalex.org/W2000672666","https://openalex.org/W2018993957","https://openalex.org/W2022415747","https://openalex.org/W2028672930","https://openalex.org/W2029594006","https://openalex.org/W2035932299","https://openalex.org/W2043264592","https://openalex.org/W2044465660","https://openalex.org/W2053531185","https://openalex.org/W2093012476","https://openalex.org/W2094872149","https://openalex.org/W2097371557","https://openalex.org/W2117205993","https://openalex.org/W2120877847","https://openalex.org/W2127557005","https://openalex.org/W2158270882","https://openalex.org/W2164547069","https://openalex.org/W2167866422","https://openalex.org/W2171751663","https://openalex.org/W3135358928"],"related_works":["https://openalex.org/W1846160651","https://openalex.org/W2011425028","https://openalex.org/W2064341520","https://openalex.org/W1497114142","https://openalex.org/W2095192774","https://openalex.org/W1606474234","https://openalex.org/W2170439879","https://openalex.org/W2058771400","https://openalex.org/W2093049410","https://openalex.org/W2008089766"],"abstract_inverted_index":{"To":[0,88],"study":[1],"the":[2,25,62,69,80,90,93,162,165,169,184,192,209,217,225,232,242,245],"similarity":[3,38,77,163,173,238,243],"between":[4,164],"queries":[5],"and":[6,65,79,103,142,145,153,168,176,181,187,189,200,206,212,214],"retrieved":[7,223,246],"masses,":[8],"we":[9],"design":[10],"an":[11],"interactive":[12],"CBIR":[13,226],"(Content-based":[14],"Image":[15],"Retrieval)":[16],"CADx":[17,41],"(Computer-aided":[18],"Diagnosis)":[19],"system":[20,42,227],"using":[21,117,224],"relevance":[22,82],"feedback":[23,83],"for":[24,183,191,208,216],"characterization":[26],"of":[27,68,95,244],"breast":[28],"masses":[29,44,50,106,139,148,167,222,234],"in":[30],"ultrasound":[31],"(US)":[32],"images":[33,156],"based":[34,55,129,235],"on":[35,56,130,149,236],"radiologists'":[36,237],"visual":[37],"assessment.":[39],"The":[40,71,123],"retrieves":[43],"that":[45,60],"are":[46,86,107,127],"similar":[47,230],"to":[48,231],"query":[49,138,166,233],"from":[51,99],"a":[52,118],"reference":[53,147],"library":[54],"six":[57],"computer-extracted":[58],"features":[59],"describe":[61],"texture,":[63],"width-to-height,":[64],"posterior":[66],"shadowing":[67],"mass.":[70],"k-NN":[72],"retrieval":[73],"with":[74,177,201],"Euclidean":[75],"distance":[76],"measure":[78],"Rocchio":[81],"algorithm":[84],"(RRF)":[85],"used.":[87],"train":[89],"RRF":[91,125,178,202,240],"parameters,":[92],"similarities":[94],"1891":[96],"image":[97],"pairs":[98],"62":[100],"(31":[101],"malignant":[102,141,152],"31":[104],"benign)":[105,144,155],"rated":[108,161],"by":[109],"3":[110,131],"MQSA":[111],"(Mammography":[112],"Quality":[113],"Standards":[114],"Act)":[115],"radiologists":[116,160],"9-point":[119],"scale":[120],"(9=most":[121],"similar).":[122],"best":[124],"parameters":[126],"chosen":[128],"observer":[132],"experiments.":[133],"For":[134],"testing,":[135],"100":[136],"independent":[137],"(49":[140],"51":[143],"121":[146],"230":[150],"(79":[151],"151":[154],"were":[157,179,228],"collected.":[158],"Three":[159],"computer-retrieved":[170],"masses.":[171,247],"Average":[172,196],"ratings":[174],"without":[175,199],"5.39":[180],"5.64":[182],"training":[185,210],"set":[186,211],"5.78":[188],"6.02":[190],"test":[193,218],"set,":[194],"respectively.":[195],"AUC":[197],"values":[198],"were,":[203],"respectively,":[204],"0.86\u00b10.03":[205],"0.87\u00b10.03":[207],"0.91\u00b10.03":[213],"0.90\u00b10.03":[215],"set.":[219],"On":[220],"average,":[221],"moderately":[229],"assessments.":[239],"improved":[241]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}