{"id":"https://openalex.org/W3011741679","doi":"https://doi.org/10.1117/12.2548159","title":"Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI","display_name":"Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011741679","doi":"https://doi.org/10.1117/12.2548159","mag":"3011741679"},"language":"en","primary_location":{"id":"doi:10.1117/12.2548159","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: 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/A5027681743","display_name":"Amy Van Dusen","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]},{"id":"https://openalex.org/I73236664","display_name":"Wheaton College - Illinois","ror":"https://ror.org/0581k0452","country_code":"US","type":"education","lineage":["https://openalex.org/I73236664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amy Van Dusen","raw_affiliation_strings":["The Univ. of Chicago (United States)","Wheaton College (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]},{"raw_affiliation_string":"Wheaton College (United States)","institution_ids":["https://openalex.org/I73236664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012915209","display_name":"Michael Vieceli","orcid":null},"institutions":[{"id":"https://openalex.org/I73236664","display_name":"Wheaton College - Illinois","ror":"https://ror.org/0581k0452","country_code":"US","type":"education","lineage":["https://openalex.org/I73236664"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Vieceli","raw_affiliation_strings":["The Univ. of Chicago (United States)","Wheaton College (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]},{"raw_affiliation_string":"Wheaton College (United States)","institution_ids":["https://openalex.org/I73236664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024321936","display_name":"Karen Drukker","orcid":"https://orcid.org/0000-0001-6544-3476"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Drukker","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025334715","display_name":"Hiroyuki Ab\u00e9","orcid":"https://orcid.org/0000-0002-3568-1462"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroyuki Abe","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049042648","display_name":"Maryellen L. Giger","orcid":"https://orcid.org/0000-0001-5482-9728"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryellen L. Giger","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032409695","display_name":"Heather M. Whitney","orcid":"https://orcid.org/0000-0002-7258-1102"},"institutions":[{"id":"https://openalex.org/I73236664","display_name":"Wheaton College - Illinois","ror":"https://ror.org/0581k0452","country_code":"US","type":"education","lineage":["https://openalex.org/I73236664"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heather M. Whitney","raw_affiliation_strings":["The Univ. of Chicago (United States)","Wheaton College (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]},{"raw_affiliation_string":"Wheaton College (United States)","institution_ids":["https://openalex.org/I73236664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027681743"],"corresponding_institution_ids":["https://openalex.org/I40347166","https://openalex.org/I73236664"],"apc_list":null,"apc_paid":null,"fwci":0.4405,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65600583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998000264167786,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9997000098228455,"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/T10550","display_name":"Ovarian cancer diagnosis and treatment","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2743","display_name":"Reproductive Medicine"},"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/repeatability","display_name":"Repeatability","score":0.955826997756958},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5908681750297546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5729141235351562},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.5678715705871582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5446857213973999},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.536258339881897},{"id":"https://openalex.org/keywords/ductal-carcinoma","display_name":"Ductal carcinoma","score":0.5001585483551025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45622923970222473},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4305773079395294},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.42454084753990173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3583609461784363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.358195424079895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2211201786994934},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1832956075668335},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.11723703145980835},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08255484700202942}],"concepts":[{"id":"https://openalex.org/C154020017","wikidata":"https://www.wikidata.org/wiki/Q520171","display_name":"Repeatability","level":2,"score":0.955826997756958},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5908681750297546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5729141235351562},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.5678715705871582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5446857213973999},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.536258339881897},{"id":"https://openalex.org/C2780862961","wikidata":"https://www.wikidata.org/wiki/Q5311598","display_name":"Ductal carcinoma","level":4,"score":0.5001585483551025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45622923970222473},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4305773079395294},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.42454084753990173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3583609461784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.358195424079895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2211201786994934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1832956075668335},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.11723703145980835},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08255484700202942}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2548159","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: 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":0.5600000023841858,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2481168506","https://openalex.org/W2893816048","https://openalex.org/W4288084846","https://openalex.org/W3168747143","https://openalex.org/W2237675924","https://openalex.org/W2315867670","https://openalex.org/W1968795594","https://openalex.org/W4256621282","https://openalex.org/W2755432716","https://openalex.org/W4385545615"],"abstract_inverted_index":{"We":[0],"evaluated":[1],"a":[2,48],"radiomics/machine":[3],"learning":[4],"method":[5],"for":[6,116,129,191,225],"dynamic":[7],"contrast-enhanced":[8],"magnetic":[9],"resonance":[10],"(DCE-MR)":[11],"images":[12,28],"of":[13,19,29,94,125,165,197,228],"breast":[14,32],"lesions":[15,33],"and":[16,25,80,145,149,174,207,212,234],"the":[17,120,126,132,152,162,180,185,192],"impact":[18,227],"case-based":[20],"classification":[21,58,106,171],"repeatability":[22,93,144,164,196,220],"on":[23],"sensitivity":[24,148,206,233],"specificity.":[26,235],"DCE-MR":[27],"1,169":[30],"unique":[31],"(267":[34],"benign,":[35],"902":[36],"malignant)":[37],"were":[38,44,55,60,114,156],"retrospectively":[39],"collected":[40],"under":[41],"HIPAA/IRB.":[42],"Lesions":[43],"automatically":[45],"segmented":[46],"using":[47,99,119,229],"fuzzy":[49],"c-means":[50],"method;":[51],"thirty-eight":[52],"radiomic":[53],"features":[54],"extracted.":[56],"Three":[57],"tasks":[59,210],"investigated:":[61],"(i)":[62,211],"benign":[63],"vs.":[64,73,88],"malignant,":[65],"(ii)":[66,213],"pure":[67],"ductal":[68,77],"carcinoma":[69,78],"in":[70,131,147,179,184,205,209,216],"situ":[71],"(DCIS)":[72],"DCIS":[74],"with":[75,105,202,231],"invasive":[76],"(IDC),":[79],"(iii)":[81],"luminal":[82,85],"A":[83],"or":[84],"B":[86],"cancers":[87],"other":[89],"molecular":[90],"subtypes.":[91],"Case-based":[92,219],"classifier":[95,127,142,166,193,198],"output":[96,128,143,167,199],"was":[97,200],"constructed":[98,115],"0.632+":[100],"bootstrap":[101,137,153],"sampling":[102],"(1000":[103],"iterations)":[104],"by":[107],"support":[108],"vector":[109],"machine":[110],"(SVM).":[111],"Repeatability":[112],"profiles":[113,221],"each":[117],"task":[118,217],"95%":[121],"confidence":[122],"interval":[123],"widths":[124],"cases":[130,159],"test":[133,154,181],"folds":[134,155,182,187],"over":[135,151,168],"all":[136,169],"iterations.":[138],"The":[139],"relationships":[140],"between":[141],"variability":[146,178,204],"specificity":[150,175,208],"investigated.":[157],"Most":[158],"fell":[160],"within":[161],"highest":[163],"three":[170],"tasks.":[172],"Sensitivity":[173],"demonstrated":[176],"more":[177],"than":[183],"training":[186],"at":[188],"corresponding":[189],"thresholds":[190],"output.":[194],"Higher":[195],"associated":[201],"lower":[203],"but":[214],"not":[215],"(iii).":[218],"may":[222],"be":[223],"important":[224],"characterizing":[226],"radiomics":[230],"desired":[232]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
