{"id":"https://openalex.org/W2920084449","doi":"https://doi.org/10.1117/12.2513031","title":"A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography","display_name":"A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2920084449","doi":"https://doi.org/10.1117/12.2513031","mag":"2920084449"},"language":"en","primary_location":{"id":"doi:10.1117/12.2513031","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2513031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: 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/A5061259545","display_name":"Paulo Mazzoncini de Azevedo\u2010Marques","orcid":"https://orcid.org/0000-0002-7271-2774"},"institutions":[{"id":"https://openalex.org/I4210156537","display_name":"Clinics Hospital of Ribeir\u00e3o Preto","ror":"https://ror.org/04n6fhj26","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I17974374","https://openalex.org/I4210156537"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo M. Azevedo-Marques","raw_affiliation_strings":["Ribeir\u00e3o Preto Medical School  (Brazil)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ribeir\u00e3o Preto Medical School  (Brazil)","institution_ids":["https://openalex.org/I4210156537"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049857806","display_name":"Lucas R. Borges","orcid":"https://orcid.org/0000-0003-3863-7085"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210156537","display_name":"Clinics Hospital of Ribeir\u00e3o Preto","ror":"https://ror.org/04n6fhj26","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I17974374","https://openalex.org/I4210156537"]}],"countries":["BR","FI"],"is_corresponding":false,"raw_author_name":"Lucas R. Borges","raw_affiliation_strings":["Escola de Engenharia de S\u00e3o Carlos (Brazil)","Ribeir\u00e3o Preto Medical School  (Brazil)","Tampere Univ. (Finland)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola de Engenharia de S\u00e3o Carlos (Brazil)","institution_ids":[]},{"raw_affiliation_string":"Ribeir\u00e3o Preto Medical School  (Brazil)","institution_ids":["https://openalex.org/I4210156537"]},{"raw_affiliation_string":"Tampere Univ. (Finland)","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089425504","display_name":"Marcelo A. C. Vieira","orcid":"https://orcid.org/0000-0002-6038-7740"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcelo A. C. Vieira","raw_affiliation_strings":["Escola de Engenharia de S\u00e3o Carlos (Brazil)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola de Engenharia de S\u00e3o Carlos (Brazil)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4338,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70544814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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":0.9984999895095825,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9768000245094299,"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/microcalcification","display_name":"Microcalcification","score":0.7221896052360535},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6567419171333313},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.6362811326980591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6051862239837646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3329485058784485},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14265918731689453},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.05114230513572693}],"concepts":[{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.7221896052360535},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6567419171333313},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.6362811326980591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051862239837646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3329485058784485},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14265918731689453},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.05114230513572693},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"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:10.1117/12.2513031","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2513031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1879676583","https://openalex.org/W1992150023","https://openalex.org/W2001363318","https://openalex.org/W2019889573","https://openalex.org/W2020402396","https://openalex.org/W2056312637","https://openalex.org/W2069716978","https://openalex.org/W2113115183","https://openalex.org/W2132116135","https://openalex.org/W2141619730","https://openalex.org/W2141773937","https://openalex.org/W2160341882","https://openalex.org/W2593290939","https://openalex.org/W2792661713","https://openalex.org/W6734166648"],"related_works":["https://openalex.org/W2378946663","https://openalex.org/W2031284012","https://openalex.org/W2354834859","https://openalex.org/W2340621660","https://openalex.org/W3190666406","https://openalex.org/W2557931800","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W1540588256","https://openalex.org/W4378191048"],"abstract_inverted_index":{"The":[0,234,258],"validation":[1],"of":[2,8,15,19,42,64,71,85,135,146,173,181,231,244],"many":[3],"studies":[4,32],"in":[5,78,242],"the":[6,13,35,38,86,133,143,147,182,186,227,232,237,245],"field":[7],"medical":[9],"imaging":[10],"relies":[11],"on":[12,226],"measurement":[14],"sensitivity":[16,39],"and":[17,40,120,170,196,229,239,255,260],"specificity":[18,41],"a":[20,68,82,115,128],"given":[21],"task.":[22],"In":[23,57,123],"breast":[24,93,256],"cancer":[25,43],"screening,":[26],"it":[27],"is":[28,103],"common":[29,96],"to":[30,37,98,104,107,131,165,191,224,252],"validate":[31],"by":[33,142,217],"assessing":[34],"impact":[36],"detection":[44],"through":[45],"experiments":[46,60],"such":[47],"as":[48],"N-alternative":[49],"forced-choice":[50],"(N-AFC)":[51],"or":[52],"receiver":[53],"operating":[54],"characteristics":[55],"(ROC).":[56],"general,":[58],"these":[59],"require":[61],"large":[62],"datasets":[63],"clinical":[65,79,139,208],"mammograms":[66,209],"containing":[67,204],"considerable":[69],"number":[70],"cases":[72,248],"with":[73,92,118,210],"true":[74],"positive":[75],"findings.":[76],"Nonetheless,":[77],"practice":[80],"only":[81],"small":[83],"fraction":[84],"patients":[87],"(&lt;1%)":[88],"are":[89,263],"actually":[90],"diagnosed":[91],"cancer.":[94],"One":[95],"approach":[97],"solve":[99],"this":[100,124],"data":[101],"constraint":[102],"insert":[105],"lesions":[106,262],"images":[108],"taken":[109],"from":[110,138],"healthy":[111],"patients,":[112],"thus":[113],"creating":[114],"hybrid":[116],"dataset":[117,203],"real":[119,171,197],"artificial":[121,144],"data.":[122],"work":[125],"we":[126],"investigate":[127],"simple":[129],"method":[130],"perform":[132],"segmentation":[134],"microcalcification":[136],"clusters":[137,148,172,177,198,213],"cases,":[140],"followed":[141],"insertion":[145],"into":[149],"normal":[150],"(true":[151],"negative)":[152],"mammograms.":[153],"A":[154,202],"2-AFC":[155],"human":[156],"observers":[157,162],"study":[158],"was":[159,214,222],"performed,":[160],"where":[161],"were":[163,178,188],"asked":[164,223],"choose":[166],"between":[167,193],"artificially":[168,194,211],"inserted":[169,176,195,212],"microcalcifications.":[174],"Artificially":[175],"selected":[179],"47.3%":[180],"time,":[183],"indicating":[184],"that":[185],"readers":[187],"not":[189],"able":[190],"distinguish":[192],"(p":[199],"=":[200],"0.65).":[201],"100":[205],"BI-RADS":[206],"1":[207],"visually":[215],"evaluated":[216],"an":[218],"experienced":[219],"radiologist,":[220],"who":[221],"comment":[225],"appearance":[228,238],"positioning":[230],"clusters.":[233],"reader":[235],"considered":[236],"location":[240],"realistic":[241],"98%":[243],"images.":[246],"Two":[247],"had":[249],"problems":[250],"related":[251],"patient":[253],"motion":[254],"segmentation.":[257],"codes":[259],"segmented":[261],"available":[264],"for":[265],"download":[266],"at:":[267],"https://github.com/LAVI-USP/MCInsertionPackage.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
