{"id":"https://openalex.org/W2069658271","doi":"https://doi.org/10.1117/12.713640","title":"Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information","display_name":"Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information","publication_year":2007,"publication_date":"2007-03-08","ids":{"openalex":"https://openalex.org/W2069658271","doi":"https://doi.org/10.1117/12.713640","mag":"2069658271"},"language":"en","primary_location":{"id":"doi:10.1117/12.713640","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.713640","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/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","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":["(University of Michigan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(University of Michigan)","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027333194","display_name":"Jun Wei","orcid":"https://orcid.org/0000-0002-6726-1972"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Wei","raw_affiliation_strings":["University of Michigan. United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan. United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101624432","display_name":"Yiheng Zhang","orcid":"https://orcid.org/0000-0002-1940-6137"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiheng Zhang","raw_affiliation_strings":["University of Michigan. United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan. United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102950791","display_name":"Richard H. Moore","orcid":"https://orcid.org/0000-0001-7525-4804"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard H. Moore","raw_affiliation_strings":["Massachusetts General Hospital   (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital   (United States)","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091039828","display_name":"Daniel B. Kopans","orcid":"https://orcid.org/0000-0003-0741-6829"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel B. Kopans","raw_affiliation_strings":["Massachusetts General Hospital   (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital   (United States)","institution_ids":["https://openalex.org/I4210087915"]}]},{"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","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lubomir Hadjiiski","raw_affiliation_strings":["University of Michigan. United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan. United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"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/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Berkman Sahiner","raw_affiliation_strings":["University of Michigan. United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan. United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030780380","display_name":"Marilyn A. Roubidoux","orcid":"https://orcid.org/0000-0001-6422-8555"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marilyn A. Roubidoux","raw_affiliation_strings":["University of Michigan. United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan. United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"last","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","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark A. Helvie","raw_affiliation_strings":["University of Michigan. United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan. United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9064,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91478054,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6514","issue":null,"first_page":"651416","last_page":"651416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9993000030517578,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9945999979972839,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7132022380828857},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7072736024856567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6481763124465942},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.6368759870529175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6104164719581604},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5730072259902954},{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.4892599284648895},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.48578718304634094},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4670984148979187},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4424203038215637},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.13434576988220215},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09417426586151123},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.066192626953125}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7132022380828857},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7072736024856567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6481763124465942},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.6368759870529175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6104164719581604},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5730072259902954},{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.4892599284648895},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.48578718304634094},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4670984148979187},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4424203038215637},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.13434576988220215},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09417426586151123},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.066192626953125},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","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:10.1117/12.713640","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.713640","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":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320717","display_name":"Department of Biotechnology, Ministry of Science and Technology, India","ror":"https://ror.org/03tjsyq23"},{"id":"https://openalex.org/F4320332505","display_name":"U.S. Public Health Service","ror":"https://ror.org/05xf94514"},{"id":"https://openalex.org/F4320338280","display_name":"Medical Research and Materiel Command","ror":"https://ror.org/03cd02q50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1589419489","https://openalex.org/W4229543669","https://openalex.org/W1783185948","https://openalex.org/W615772105","https://openalex.org/W2999505641","https://openalex.org/W2401866201","https://openalex.org/W2945629533","https://openalex.org/W1554029525","https://openalex.org/W1978794434","https://openalex.org/W2553942461"],"abstract_inverted_index":{"We":[0],"are":[1,32,65,96,127],"developing":[2],"a":[3,51,139,148,229],"computer-aided":[4],"detection":[5,28,61,179,235],"(CAD)":[6],"system":[7,18,151,177,213,227],"for":[8,46,80,178],"masses":[9],"on":[10,236],"digital":[11],"breast":[12,100],"tomosynthesis":[13],"mammograms":[14],"(DBTs).":[15],"The":[16,88,113,159,225],"CAD":[17,176],"includes":[19],"two":[20,120],"parallel":[21],"processes.":[22],"In":[23,56,135,171,204],"the":[24,35,57,68,94,99,104,109,119,123,153,175,181,206,211,222],"first":[25],"process,":[26,59],"mass":[27,41,48,60,75,82,89,110,114,234],"and":[29,62,130,190,199,216],"feature":[30,63,164],"analysis":[31,64],"performed":[33],"in":[34,180],"reconstructed":[36],"3D":[37,105,125],"DBT":[38,144,182],"volume.":[39],"A":[40,74],"likelihood":[42,76,90,111,115],"score":[43,77],"is":[44,78,228],"estimated":[45,79,117],"each":[47,81],"candidate":[49,83],"using":[50,84,132],"linear":[52],"discriminant":[53],"(LDA)":[54],"classifier.":[55,87],"second":[58],"applied":[66],"to":[67,98,102,232],"individual":[69],"projection":[70],"view":[71],"(PV)":[72],"images.":[73],"another":[85],"LDA":[86,160],"images":[91],"derived":[92],"from":[93],"PVs":[95],"back-projected":[97],"volume":[101,183],"estimate":[103],"spatial":[106],"distribution":[107],"of":[108,142,188,197,210],"scores.":[112],"scores":[116],"by":[118],"processes":[121],"at":[122,152,192,221],"corresponding":[124],"location":[126],"then":[128],"merged":[129],"evaluated":[131],"FROC":[133,173],"analysis.":[134],"this":[136],"preliminary":[137],"study,":[138],"data":[140],"set":[141],"52":[143],"cases":[145],"acquired":[146],"with":[147,162,168],"GE":[149],"prototype":[150],"Massachusetts":[154],"General":[155],"Hospital":[156],"was":[157],"used.":[158],"classifiers":[161],"stepwise":[163],"selection":[165],"were":[166,214],"designed":[167],"leave-one-case-out":[169],"resampling.":[170],"an":[172,193],"analysis,":[174],"alone":[184],"achieved":[185],"test":[186],"sensitivities":[187],"80%":[189],"90%":[191],"average":[194,207],"FP":[195,208],"rate":[196],"1.6":[198],"3.0":[200],"per":[201,218],"breast,":[202,219],"respectively.":[203],"comparison,":[205],"rates":[209],"combined":[212,226],"1.2":[215],"2.3":[217],"respectively,":[220],"same":[223],"sensitivities.":[224],"promising":[230],"approach":[231],"improving":[233],"DBTs.":[237]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
