{"id":"https://openalex.org/W2859459510","doi":"https://doi.org/10.1117/12.2318458","title":"Phantom-based comparison of microcalcification visibility between digital and synthetic mammography using humans and a deep neural network as observers","display_name":"Phantom-based comparison of microcalcification visibility between digital and synthetic mammography using humans and a deep neural network as observers","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2859459510","doi":"https://doi.org/10.1117/12.2318458","mag":"2859459510"},"language":"en","primary_location":{"id":"doi:10.1117/12.2318458","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","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/A5067834120","display_name":"Maria del Pilar Castillo","orcid":"https://orcid.org/0000-0003-2459-9305"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Maria Castillo","raw_affiliation_strings":["Univ. Complutense de Madrid (Spain)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Complutense de Madrid (Spain)","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050833993","display_name":"Jo\u00e3o Em\u00edlio Peixoto","orcid":"https://orcid.org/0000-0003-0689-3025"},"institutions":[{"id":"https://openalex.org/I4210142683","display_name":"Instituto Nacional de C\u00e2ncer - INCA","ror":"https://ror.org/055n68305","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210142683"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao Emilio Peixoto","raw_affiliation_strings":["Instituto Nacional do Cancerolog\u00eda (Brazil)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Nacional do Cancerolog\u00eda (Brazil)","institution_ids":["https://openalex.org/I4210142683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083456683","display_name":"Margarita Chevalier","orcid":"https://orcid.org/0000-0002-3848-9783"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Margarita Chevalier","raw_affiliation_strings":["Univ. Complutense de Madrid (Spain)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Complutense de Madrid (Spain)","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090308906","display_name":"Alejandro Rodr\u00edguez\u2010Ruiz","orcid":"https://orcid.org/0000-0002-7554-5561"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alejandro Rodr\u00edguez-Ruiz","raw_affiliation_strings":["Radboud Univ. Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17166867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8539","issue":null,"first_page":"68","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980999827384949,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.8351935148239136},{"id":"https://openalex.org/keywords/microcalcification","display_name":"Microcalcification","score":0.7458449602127075},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.7398996353149414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019758820533752},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6881359219551086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6771548986434937},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.6497763395309448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6020076274871826},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.597752571105957},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43274545669555664},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.17058870196342468},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13823214173316956},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.09083512425422668}],"concepts":[{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.8351935148239136},{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.7458449602127075},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7398996353149414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019758820533752},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6881359219551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6771548986434937},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.6497763395309448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6020076274871826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.597752571105957},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43274545669555664},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.17058870196342468},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13823214173316956},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.09083512425422668},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2318458","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W15986294","https://openalex.org/W1968983912","https://openalex.org/W2022975303","https://openalex.org/W2054671076","https://openalex.org/W2093500112","https://openalex.org/W2111066681","https://openalex.org/W2130017212","https://openalex.org/W2139442654","https://openalex.org/W2168662924","https://openalex.org/W2323873154","https://openalex.org/W2750373452","https://openalex.org/W2964152645","https://openalex.org/W6600682551","https://openalex.org/W6700250569"],"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":[0,147,200],"2D":[1],"synthetic":[2],"image":[3,36,240],"(SM)":[4],"generated":[5],"from":[6,40,134],"digital":[7,17],"breast":[8],"tomosynthesis":[9],"(DBT)":[10],"has":[11],"the":[12,26,35,45,105,127,131,135,141,144,152,157,159,168,173,203,212,219,222,230],"potential":[13],"to":[14,54,70,74,107,143,232],"replace":[15,108],"conventional":[16],"mammography":[18],"(DM),":[19],"therefore":[20],"reducing":[21,245],"patient":[22],"dose":[23],"without":[24],"affecting":[25],"cancer":[27],"detection":[28,94],"performance.":[29],"In":[30],"this":[31],"work,":[32],"we":[33,117],"analysed":[34],"quality":[37,78],"of":[38,48,95,129,161,218],"SMs":[39],"three":[41],"different":[42],"manufacturers":[43],"for":[44,77,93,126,151,172,184],"specific":[46],"task":[47,128],"detecting":[49],"microcalcifications":[50],"(MC),":[51],"in":[52,198,216],"comparison":[53],"DM.":[55],"A":[56,81],"phantom":[57],"with":[58,111,186],"MC":[59,96,175,185],"clusters":[60,97],"on":[61,98,237],"a":[62,99,112,119],"uniform":[63],"background":[64],"was":[65,87,165,170,194],"employed,":[66],"thus":[67],"also":[68,103],"allowing":[69],"explore":[71],"its":[72],"feasibility":[73],"be":[75],"used":[76],"control":[79],"(QC).":[80],"4-Alternative":[82],"Forced":[83],"Choice":[84],"(4AFC)":[85],"experiment":[86],"performed":[88],"by":[89],"four":[90,153],"human":[91,109],"observers,":[92],"region-of-interest":[100],"level.":[101],"We":[102],"explored":[104],"possibility":[106,231],"observers":[110],"virtual":[113],"observer.":[114],"For":[115],"this,":[116],"developed":[118],"deep":[120],"learning":[121],"convolutional":[122],"neural":[123],"network":[124],"(CNN)":[125],"classifying":[130],"same":[132,204],"images":[133],"4AFC":[136,213],"study,":[137,214],"and":[138,155,167,190,209,244],"then":[139],"compare":[140],"results":[142,148,206],"human-based":[145],"study.":[146],"showed":[149],"that":[150],"readers":[154],"all":[156],"systems,":[158],"percentage":[160],"correct":[162],"answers":[163],"(PC)":[164],"100%":[166],"visibility":[169],"3":[171],"largest":[174],"clusters.":[176],"However,":[177],"SM":[178],"yielded":[179,202],"worse":[180],"detectability":[181],"than":[182,211],"DM":[183],"sizes":[187],"between":[188],"180":[189],"100":[191],"&mu;m":[192],"(PC":[193],"around":[195],"18%":[196],"inferior":[197],"average).":[199],"CNN":[201],"relative":[205],"across":[207],"modalities":[208],"systems":[210],"but":[215],"terms":[217],"area":[220],"under":[221],"receiver":[223],"operating":[224],"characteristic":[225],"curve.":[226],"This":[227],"might":[228],"encourage":[229],"develop":[233],"QC":[234],"procedures":[235],"based":[236],"artificial":[238],"intelligence":[239],"reading,":[241],"improving":[242],"reproducibility":[243],"costs.":[246]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
