{"id":"https://openalex.org/W2792323339","doi":"https://doi.org/10.1117/12.2293800","title":"Towards the use of computationally inserted lesions for mammographic CAD assessment","display_name":"Towards the use of computationally inserted lesions for mammographic CAD assessment","publication_year":2018,"publication_date":"2018-03-07","ids":{"openalex":"https://openalex.org/W2792323339","doi":"https://doi.org/10.1117/12.2293800","mag":"2792323339"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293800","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment","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/A5051438017","display_name":"Zahra Ghanian","orcid":"https://orcid.org/0000-0002-9146-7292"},"institutions":[{"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":["US"],"is_corresponding":true,"raw_author_name":"Zahra Ghanian","raw_affiliation_strings":["U.S. Food and Drug Administration  (United States)"],"affiliations":[{"raw_affiliation_string":"U.S. Food and Drug Administration  (United States)","institution_ids":["https://openalex.org/I1320320070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074995495","display_name":"Aria Pezeshk","orcid":"https://orcid.org/0000-0002-3570-3051"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Aria Pezeshk","raw_affiliation_strings":["U.S. Food and Drug Administration  (United States)"],"affiliations":[{"raw_affiliation_string":"U.S. Food and Drug Administration  (United States)","institution_ids":["https://openalex.org/I1320320070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006593300","display_name":"Nicholas Petrick","orcid":"https://orcid.org/0000-0001-5167-8899"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Nicholas  A. Petrick","raw_affiliation_strings":["U.S. Food and Drug Administration  (United States)"],"affiliations":[{"raw_affiliation_string":"U.S. Food and Drug Administration  (United States)","institution_ids":["https://openalex.org/I1320320070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073468417","display_name":"Berkman Sahiner","orcid":"https://orcid.org/0000-0003-2804-2264"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Berkman Sahiner","raw_affiliation_strings":["U.S. Food and Drug Administration (United States)"],"affiliations":[{"raw_affiliation_string":"U.S. Food and Drug Administration (United States)","institution_ids":["https://openalex.org/I1320320070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051438017"],"corresponding_institution_ids":["https://openalex.org/I1320320070"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65543142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"7966","issue":null,"first_page":"20","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.97079998254776,"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"}},{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9692000150680542,"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":0.7428407669067383},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6743096113204956},{"id":"https://openalex.org/keywords/microcalcification","display_name":"Microcalcification","score":0.6690285205841064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6238075494766235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006404757499695},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.48960214853286743},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.45065072178840637},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43684279918670654},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.24741998314857483},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14376267790794373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428407669067383},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6743096113204956},{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.6690285205841064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6238075494766235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006404757499695},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.48960214853286743},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.45065072178840637},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43684279918670654},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.24741998314857483},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14376267790794373},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293800","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W177004468","https://openalex.org/W1963965730","https://openalex.org/W1964035719","https://openalex.org/W2001567600","https://openalex.org/W2002709260","https://openalex.org/W2042324750","https://openalex.org/W2112270781","https://openalex.org/W2149923130","https://openalex.org/W2162445884","https://openalex.org/W2311041434","https://openalex.org/W4210718353","https://openalex.org/W6607184829","https://openalex.org/W6641086731","https://openalex.org/W6641313865","https://openalex.org/W6651356205","https://openalex.org/W6660958359","https://openalex.org/W6683798682","https://openalex.org/W6698158788"],"related_works":["https://openalex.org/W40785385","https://openalex.org/W2089630719","https://openalex.org/W2378946663","https://openalex.org/W2031284012","https://openalex.org/W2354834859","https://openalex.org/W4378191048","https://openalex.org/W3190666406","https://openalex.org/W2328635413","https://openalex.org/W1540588256","https://openalex.org/W2306216960"],"abstract_inverted_index":{"Computer-aided":[0],"detection":[1,8],"(CADe)":[2],"devices":[3],"used":[4,302],"for":[5,17,100,207,323,343],"breast":[6,226,235],"cancer":[7,65],"on":[9,285],"mammograms":[10,286,306],"are":[11,31,109],"typically":[12,45],"first":[13,169],"developed":[14],"and":[15,67,77,184,211,247,289,325],"assessed":[16],"a":[18,24,39,85,97,103,135,171,228,294],"specific":[19,25],"\u201coriginal\u201d":[20],"acquisition":[21,42,73,106,126,152],"system,":[22,43],"e.g.,":[23],"image":[26,72,105,112,165],"detector.":[27],"When":[28],"CADe":[29,36,48,98,281,296],"developers":[30],"ready":[32],"to":[33,38,83,87,118,174,195],"apply":[34],"their":[35,248],"device":[37,49,99],"new":[40,55,71,136],"mammographic":[41,345],"they":[44],"assess":[46,175],"the":[47,54,70,89,94,143,200,212,233,237,254,276,314,335,339],"with":[50,102,134,158,287],"images":[51,62,130,156],"acquired":[52,68,133,157,312],"using":[53,123,149,257,293,338],"system.":[56,107,137,297],"Collecting":[57],"large":[58],"repositories":[59],"of":[60,96,145,202,219,227,236,253,316,337],"clinical":[61,90,196,310],"containing":[63,221],"verified":[64],"locations":[66],"by":[69],"system":[74,127,153,161],"is":[75,82],"costly":[76],"time":[78],"consuming.":[79],"Our":[80],"goal":[81],"develop":[84],"methodology":[86,262],"reduce":[88],"data":[91],"burden":[92],"in":[93],"assessment":[95],"use":[101],"different":[104],"We":[108,168],"developing":[110],"an":[111,124,150],"blending":[113,166],"technique":[114,194],"that":[115,159,264],"allows":[116],"users":[117],"seamlessly":[119],"insert":[120],"lesions":[121],"imaged":[122,148],"original":[125,151],"into":[128,154,232],"normal":[129,155],"or":[131],"regions":[132],"In":[138],"this":[139,188,299],"study,":[140],"we":[141,190,301],"investigated":[142],"insertion":[144,193],"microcalcification":[146,222,291,341],"clusters":[147,223,246,266,273,292,327,342],"same":[160,238],"utilizing":[162],"our":[163,192],"previously-developed":[164],"technique.":[167],"performed":[170],"reader":[172,241,255],"study":[173,242],"whether":[176],"experienced":[177],"observers":[178],"could":[179],"distinguish":[180],"between":[181],"computationally":[182],"inserted":[183,231,250,265,290,326,340],"native":[185,245,272,288,324],"clusters.":[186],"For":[187,298],"purpose,":[189,300],"applied":[191],"cases":[197],"taken":[198],"from":[199,224,271,308],"University":[201,315],"South":[203],"Florida":[204],"Digital":[205,215],"Database":[206],"Screening":[208],"Mammography":[209],"(DDSM)":[210],"Breast":[213],"Cancer":[214],"Repository":[216],"(BCDR).":[217],"Regions":[218],"interest":[220],"one":[225],"patient":[229],"were":[230,328],"contralateral":[234],"patient.":[239],"The":[240,320],"included":[243],"55":[244,249],"counterparts.":[251],"Analysis":[252],"ratings":[256],"receiver":[258],"operating":[259],"characteristic":[260],"(ROC)":[261],"indicated":[263],"cannot":[267],"be":[268],"reliably":[269],"distinguished":[270],"(area":[274],"under":[275],"ROC":[277],"curve,":[278],"AUC=0.58\u00b10.04).":[279],"Furthermore,":[280],"sensitivity":[282],"was":[283],"evaluated":[284],"commercial":[295],"full":[303],"field":[304],"digital":[305],"(FFDMs)":[307],"68":[309],"cases,":[311],"at":[313],"Michigan":[317],"Health":[318],"System.":[319],"average":[321],"sensitivities":[322],"equal,":[329],"85.3%":[330],"(58/68).":[331],"These":[332],"results":[333],"demonstrate":[334],"feasibility":[336],"assessing":[344],"CAD":[346],"devices.":[347]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}