{"id":"https://openalex.org/W1987128192","doi":"https://doi.org/10.1117/12.2081854","title":"Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection","display_name":"Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection","publication_year":2015,"publication_date":"2015-03-20","ids":{"openalex":"https://openalex.org/W1987128192","doi":"https://doi.org/10.1117/12.2081854","mag":"1987128192"},"language":"en","primary_location":{"id":"doi:10.1117/12.2081854","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081854","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":"conference-paper","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/A5100646694","display_name":"Seong Tae Kim","orcid":"https://orcid.org/0000-0002-2132-6021"},"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":"Seong Tae Kim","raw_affiliation_strings":["KAIST (Korea, Republic of)","KAIST, Korea, Republic of"],"raw_orcid":null,"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"],"raw_orcid":null,"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"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08710504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9414","issue":null,"first_page":"941419","last_page":"941419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.8619728088378906},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.715517520904541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6572868824005127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6183074116706848},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6069005131721497},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.577244758605957},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.548176109790802},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.5421351790428162},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5405004024505615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41290417313575745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3278990387916565},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.18252453207969666},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.132432758808136}],"concepts":[{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.8619728088378906},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.715517520904541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572868824005127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6183074116706848},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6069005131721497},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.577244758605957},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.548176109790802},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.5421351790428162},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5405004024505615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41290417313575745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3278990387916565},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.18252453207969666},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.132432758808136},{"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:10.1117/12.2081854","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081854","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W197203075","https://openalex.org/W1964702664","https://openalex.org/W1966492933","https://openalex.org/W1974969966","https://openalex.org/W1983322751","https://openalex.org/W1985764907","https://openalex.org/W1987490068","https://openalex.org/W1994693701","https://openalex.org/W2002467976","https://openalex.org/W2006849327","https://openalex.org/W2030206176","https://openalex.org/W2054671076","https://openalex.org/W2059729247","https://openalex.org/W2082684500","https://openalex.org/W2086892210","https://openalex.org/W2088005510","https://openalex.org/W2092688199","https://openalex.org/W2111066681","https://openalex.org/W2139442654","https://openalex.org/W2159205109","https://openalex.org/W2169331774","https://openalex.org/W2315996897","https://openalex.org/W6643997046","https://openalex.org/W6646069938","https://openalex.org/W6658086754"],"related_works":["https://openalex.org/W2897347202","https://openalex.org/W2036173279","https://openalex.org/W2519676040","https://openalex.org/W4401888562","https://openalex.org/W2516705765","https://openalex.org/W2747392720","https://openalex.org/W4393757906","https://openalex.org/W3210005271","https://openalex.org/W2067037928","https://openalex.org/W1511305871"],"abstract_inverted_index":{"In":[0,26,80],"this":[1,53,81],"study,":[2,28,82],"a":[3,103,242],"novel":[4],"mass":[5,122,128],"detection":[6,100,176],"framework":[7],"that":[8,32,67,213,232],"utilizes":[9],"the":[10,33,44,49,72,85,88,149,155,174,233],"information":[11,234],"from":[12],"synthetic":[13,55,68,94,104,131,237],"mammograms":[14],"has":[15,57],"been":[16,58],"developed":[17,59],"for":[18,126],"detecting":[19,152],"masses":[20,139,153,247],"in":[21,52,60,96,118,130,144,154,222,248],"digital":[22,40],"breast":[23],"tomosynthesis":[24],"(DBT).":[25],"clinical":[27,163],"it":[29,64,75],"is":[30,65,76,220,241],"demonstrated":[31,66],"combination":[34],"of":[35,87,91,98,114,151,166,183,236],"DBT":[36,92,116,134,160,168,193,196,208,227,240],"and":[37,63,93,133,140,159,185,189,204,239],"full":[38],"field":[39],"mammography":[41],"(FFDM)":[42],"increases":[43],"reader":[45],"performance.":[46],"To":[47],"reduce":[48],"radiation":[50],"dose":[51],"approach,":[54],"mammogram":[56,69,95,132,238],"previous":[61],"researches":[62],"can":[70],"alternate":[71],"FFDM":[73],"when":[74],"used":[77,171],"with":[78,187,202],"DBT.":[79,249],"we":[83],"investigate":[84],"feasibility":[86],"combined":[89,145,157,179,223],"approach":[90,158,180,198,224,244],"point":[97],"computer-aided":[99],"(CAD).":[101],"As":[102],"mammogram,":[105],"two-dimensional":[106],"image":[107],"was":[108,170],"generated":[109],"by":[110],"adopting":[111],"conspicuous":[112],"voxels":[113],"three-dimensional":[115],"volume":[117],"our":[119],"study.":[120],"The":[121,178,195],"likelihood":[123],"scores":[124],"estimated":[125],"each":[127],"candidates":[129],"are":[135],"merged":[136],"to":[137,172,226,245],"differentiate":[138],"false":[141],"positives":[142],"(FPs)":[143],"approach.":[146],"We":[147],"compared":[148,225],"performance":[150],"proposed":[156],"alone.":[161,228],"A":[162],"data":[164],"set":[165],"196":[167],"volumes":[169],"evaluate":[173],"different":[175],"schemes.":[177],"achieved":[181,199,221],"sensitivity":[182],"80%":[184],"89%":[186],"1.16":[188],"2.37":[190],"FPs":[191,206],"per":[192,207],"volume.":[194,209],"alone":[197],"same":[200],"sensitivities":[201],"1.61":[203],"3.46":[205],"Experimental":[210],"results":[211,230],"show":[212],"statistically":[214],"significant":[215],"improvement":[216],"(<i>p</i>":[217],"=":[218],"0.002)":[219],"These":[229],"imply":[231],"fusion":[235],"promising":[243],"detect":[246]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
