{"id":"https://openalex.org/W2076183374","doi":"https://doi.org/10.1117/12.2007771","title":"Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information","display_name":"Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information","publication_year":2013,"publication_date":"2013-02-28","ids":{"openalex":"https://openalex.org/W2076183374","doi":"https://doi.org/10.1117/12.2007771","mag":"2076183374"},"language":"en","primary_location":{"id":"doi:10.1117/12.2007771","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007771","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-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/A5100407263","display_name":"Seung Hyun Lee","orcid":"https://orcid.org/0000-0002-1109-6787"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seung Hyun Lee","raw_affiliation_strings":["KAIST (Korea, Republic of)","KAIST, Korea, Republic of"],"affiliations":[{"raw_affiliation_string":"KAIST (Korea, Republic of)","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST, Korea, Republic of","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055987476","display_name":"Dae Hoe Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae Hoe Kim","raw_affiliation_strings":["KAIST (Korea, Republic of)","KAIST, Korea, Republic of"],"affiliations":[{"raw_affiliation_string":"KAIST (Korea, Republic of)","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST, Korea, Republic of","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030344955","display_name":"Jae Young Choi","orcid":"https://orcid.org/0000-0002-3438-8248"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Young Choi","raw_affiliation_strings":["KAIST (Korea, Republic of)","KAIST, Korea, Republic of"],"affiliations":[{"raw_affiliation_string":"KAIST (Korea, Republic of)","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST, Korea, Republic of","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["KAIST (Korea, Republic of)","KAIST, Korea, Republic of"],"affiliations":[{"raw_affiliation_string":"KAIST (Korea, Republic of)","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST, Korea, Republic of","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100407263"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.4749,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76480354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8670","issue":null,"first_page":"86701Y","last_page":"86701Y"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9811000227928162,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/microcalcification","display_name":"Microcalcification","score":0.6880276203155518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6426915526390076},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.629450798034668},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.560836911201477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5561543107032776},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5432925820350647},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.44665026664733887},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.429801881313324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.419822633266449},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.41155263781547546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3761168122291565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2898317873477936},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20509865880012512},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17039716243743896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14793318510055542},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.08394387364387512}],"concepts":[{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.6880276203155518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426915526390076},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.629450798034668},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.560836911201477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561543107032776},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5432925820350647},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.44665026664733887},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.429801881313324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.419822633266449},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.41155263781547546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3761168122291565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2898317873477936},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20509865880012512},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17039716243743896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14793318510055542},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.08394387364387512},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2007771","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007771","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2378946663","https://openalex.org/W2031284012","https://openalex.org/W2354834859","https://openalex.org/W2340621660","https://openalex.org/W4378191048","https://openalex.org/W2328635413","https://openalex.org/W1540588256","https://openalex.org/W2306216960","https://openalex.org/W3190666406","https://openalex.org/W2051046354"],"abstract_inverted_index":{"In":[0,55],"this":[1,58,102],"study,":[2],"a":[3,39,45,62],"novel":[4],"fusion":[5,79,134,147,201],"framework":[6,80,148,202],"has":[7,34],"been":[8,35],"developed":[9],"to":[10,22,111,119,162,177,180],"combine":[11,113],"the":[12,50,53,74,77,85,90,94,97,104,114,129,132,141,151,154,165,171,181,199,212],"detection":[13,115],"of":[14,48,52,57,84,92,131,173],"both":[15],"breast":[16],"masses":[17],"and":[18,64,87,118,164],"microcalcifications":[19],"(MCs),":[20],"aiming":[21],"improve":[23],"positive":[24],"predictive":[25],"value":[26],"(PPV)":[27],"in":[28],"Computer-aided":[29],"Diagnosis":[30],"(CADx).":[31],"Clinically,":[32],"it":[33,194],"widely":[36],"accepted":[37],"that":[38,61,96,198],"mass":[40,63,86,98,125],"associated":[41],"with":[42,188,211],"MC":[43],"is":[44,99,109],"useful":[46],"indicator":[47],"predicting":[49],"malignancy":[51],"mass.":[54],"light":[56],"fact,":[59],"given":[60],"MCs":[65,88],"are":[66,72],"co-located":[67],"each":[68],"other":[69],"(i.e.,":[70],"they":[71],"at":[73],"same":[75],"location),":[76],"proposed":[78,133,146,200],"combines":[81],"confidence":[82,116],"scores":[83,117],"for":[89,123,207],"purpose":[91],"improving":[93],"probability":[95],"malignant.":[100],"To":[101,127],"end,":[103],"popular":[105],"Bayesian":[106],"network":[107],"model":[108],"applied":[110,206],"effectively":[112],"achieve":[120],"higher":[121,213],"accuracy":[122],"malignant":[124],"classification.":[126],"demonstrate":[128],"effectiveness":[130],"framework,":[135],"31":[136],"mammograms":[137],"were":[138],"collected":[139],"from":[140,160,175],"public":[142],"DDSM":[143],"database.":[144],"The":[145],"can":[149,195,203],"increase":[150],"area":[152,167],"under":[153],"receiver":[155],"operating":[156],"characteristic":[157],"curve":[158],"(AUC)":[159],"0.7939":[161],"0.8806,":[163],"partial":[166],"index":[168],"(<sub>P</sub>AUC)":[169],"above":[170],"sensitivity":[172],"0.9":[174],"0.1270":[176],"0.2280,":[178],"compared":[179],"CADx":[182,209],"system":[183],"without":[184],"exploiting":[185],"co-location":[186],"information":[187],"MCs.":[189],"Based":[190],"on":[191],"these":[192],"results,":[193],"be":[196,204],"expected":[197],"readily":[205],"realizing":[208],"systems":[210],"PPV.":[214]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}