{"id":"https://openalex.org/W4220834624","doi":"https://doi.org/10.1117/12.2613245","title":"Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer","display_name":"Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4220834624","doi":"https://doi.org/10.1117/12.2613245"},"language":"en","primary_location":{"id":"doi:10.1117/12.2613245","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2613245","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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/A5046925117","display_name":"Ansh Roge","orcid":"https://orcid.org/0009-0002-7895-3795"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ansh Roge","raw_affiliation_strings":["Case Western Reserve Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ. (United States)","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071590669","display_name":"Amogh Hiremath","orcid":"https://orcid.org/0000-0001-6937-9141"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amogh Hiremath","raw_affiliation_strings":["Case Western Reserve Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ. (United States)","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065597279","display_name":"Michael Sobota","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Sobota","raw_affiliation_strings":["Case Western Reserve Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ. (United States)","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089553980","display_name":"Sree Harsha Tirumani","orcid":"https://orcid.org/0000-0002-5288-8916"},"institutions":[{"id":"https://openalex.org/I2799343972","display_name":"University Hospitals of Cleveland","ror":"https://ror.org/0130jk839","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799343972"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sree Harsha Tirumani","raw_affiliation_strings":["Univ. Hospitals of Cleveland (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Hospitals of Cleveland (United States)","institution_ids":["https://openalex.org/I2799343972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016273261","display_name":"Leonardo Kayat Bittencourt","orcid":"https://orcid.org/0000-0001-9175-9626"},"institutions":[{"id":"https://openalex.org/I2799343972","display_name":"University Hospitals of Cleveland","ror":"https://ror.org/0130jk839","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799343972"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonardo Kayat Bittencourt","raw_affiliation_strings":["Univ. Hospitals of Cleveland (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Hospitals of Cleveland (United States)","institution_ids":["https://openalex.org/I2799343972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050347706","display_name":"Justin Ream","orcid":"https://orcid.org/0000-0003-1223-9054"},"institutions":[{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Ream","raw_affiliation_strings":["The Cleveland Clinic Foundation (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Cleveland Clinic Foundation (United States)","institution_ids":["https://openalex.org/I1316902750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765468","display_name":"Ryan Ward","orcid":"https://orcid.org/0000-0002-2959-1225"},"institutions":[{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Ward","raw_affiliation_strings":["The Cleveland Clinic Foundation (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Cleveland Clinic Foundation (United States)","institution_ids":["https://openalex.org/I1316902750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024538300","display_name":"Halimat Olaniyan","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Halimat Olaniyan","raw_affiliation_strings":["Univ. of Cincinnati (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Cincinnati (United States)","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045735289","display_name":"Sadhna Verma","orcid":"https://orcid.org/0000-0001-6692-0924"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sadhna Verma","raw_affiliation_strings":["Univ. of Cincinnati (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Cincinnati (United States)","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084865365","display_name":"Andrei S. Purysko","orcid":"https://orcid.org/0000-0002-6888-0417"},"institutions":[{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrei Purysko","raw_affiliation_strings":["The Cleveland Clinic Foundation (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Cleveland Clinic Foundation (United States)","institution_ids":["https://openalex.org/I1316902750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027642699","display_name":"Anant Madabhushi","orcid":"https://orcid.org/0000-0002-5741-0399"},"institutions":[{"id":"https://openalex.org/I4210110978","display_name":"Louis Stokes Cleveland VA Medical Center","ror":"https://ror.org/01vrybr67","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210110978","https://openalex.org/I4210127612"]},{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anant Madabhushi","raw_affiliation_strings":["Case Western Reserve Univ. (United States)","Louis Stokes Cleveland VA Medical Ctr.  (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ. (United States)","institution_ids":["https://openalex.org/I58956616"]},{"raw_affiliation_string":"Louis Stokes Cleveland VA Medical Ctr.  (United States)","institution_ids":["https://openalex.org/I4210110978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033622352","display_name":"Rakesh Shiradkar","orcid":"https://orcid.org/0000-0003-2852-3869"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakesh Shiradkar","raw_affiliation_strings":["Case Western Reserve Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve Univ. (United States)","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5046925117"],"corresponding_institution_ids":["https://openalex.org/I58956616"],"apc_list":null,"apc_paid":null,"fwci":0.6668,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66338406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"41","last_page":"41"},"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":0.9977999925613403,"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":0.9977999925613403,"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9951000213623047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.739332914352417},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6508697867393494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5956184267997742},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.52374267578125},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.5099061727523804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4884602129459381},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46117767691612244},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.46076229214668274},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41517555713653564},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3789924681186676},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.32022562623023987},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.2025924026966095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1286449432373047},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10405024886131287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10357484221458435},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0854485034942627}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.739332914352417},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6508697867393494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5956184267997742},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.52374267578125},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.5099061727523804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4884602129459381},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46117767691612244},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.46076229214668274},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41517555713653564},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3789924681186676},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.32022562623023987},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2025924026966095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1286449432373047},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10405024886131287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10357484221458435},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0854485034942627},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2613245","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2613245","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1563795667","https://openalex.org/W1982153337","https://openalex.org/W2053154970","https://openalex.org/W2108598243","https://openalex.org/W2133287637","https://openalex.org/W2136148671","https://openalex.org/W2163605009","https://openalex.org/W2279098554","https://openalex.org/W2531571306","https://openalex.org/W2746199655","https://openalex.org/W2767969013","https://openalex.org/W2900243258","https://openalex.org/W2901612843","https://openalex.org/W2916489178","https://openalex.org/W2923048779","https://openalex.org/W2949226441","https://openalex.org/W2979653841","https://openalex.org/W2982215855","https://openalex.org/W2991592560","https://openalex.org/W3045247358","https://openalex.org/W3099863048","https://openalex.org/W3104612611","https://openalex.org/W3177117041","https://openalex.org/W4229771078","https://openalex.org/W4239721925","https://openalex.org/W4252415855","https://openalex.org/W6631190155","https://openalex.org/W6633802082","https://openalex.org/W6684191040","https://openalex.org/W6695314431","https://openalex.org/W6742806892","https://openalex.org/W6746022104","https://openalex.org/W6756108183"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W299695548","https://openalex.org/W2384122898","https://openalex.org/W151774199","https://openalex.org/W2611989081","https://openalex.org/W4281885123","https://openalex.org/W2345040638","https://openalex.org/W2046837923","https://openalex.org/W1529374794","https://openalex.org/W2393503779"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"based":[2],"convolutional":[3],"neural":[4],"networks":[5,205,329],"(CNNs)":[6],"for":[7,186,190,327,349],"prostate":[8,136],"cancer":[9],"(PCa)":[10],"risk":[11,351],"stratification":[12],"employ":[13],"radiologist":[14],"delineated":[15,138],"regions":[16],"of":[17,28,31,53,64,69,74,133,246,346],"interest":[18],"(ROIs)":[19],"on":[20,72,141,232,298,317,338],"MRI.":[21],"These":[22,228],"ROIs":[23,71,140,169,188,241,322,337],"contain":[24],"the":[25,29,38,44,62,155,168,180,342],"reader\u2019s":[26],"interpretation":[27],"region":[30],"PCa.":[32],"Variations":[33],"in":[34,48,66,135,210,226,255,290,296,332,336],"reader":[35],"annotations":[36],"change":[37],"features":[39,326],"that":[40,218,320],"are":[41],"extracted":[42,166],"from":[43,94,115],"ROIs,":[45],"which":[46,170],"may":[47,323,340],"turn":[49],"affect":[50],"classification":[51,211],"performance":[52,212,258],"CNNs.":[54],"In":[55],"this":[56],"study,":[57],"we":[58],"sought":[59],"to":[60,78,119,174,223,330],"analyze":[61],"effect":[63],"variations":[65,225,254,335],"inter-reader":[67,224,253],"delineations":[68],"PCa":[70,85,139,350],"training":[73,156,191],"CNNs":[75,177,347],"with":[76,129,248,276],"regards":[77],"distinguishing":[79],"clinically":[80],"significant":[81,208],"(csPCa)":[82],"and":[83,123,149,197,261,265,281,285,344],"insignificant":[84],"(ciPCa).":[86],"We":[87],"employed":[88],"180":[89],"patient":[90],"studies":[91],"(n=274":[92],"lesions)":[93,159,239],"3":[95],"cohorts":[96],"who":[97],"underwent":[98],"3T":[99],"multi-parametric":[100],"MRI":[101,143,247,339],"followed":[102],"by":[103,244,252],"MRI-targeted":[104],"biopsy":[105,162],"and/or":[106],"radical":[107],"prostatectomy.":[108],"ISUP":[109],"Gleason":[110],"grade":[111],"groups":[112],"(GGG)":[113],"obtained":[114,243],"pathology":[116],"were":[117,165,171,220,230,242,273],"used":[118,173,189],"determine":[120],"csPCa":[121],"(GGG&ge;2)":[122],"ciPCa":[124],"(GGG=1).":[125],"5":[126,131],"experienced":[127],"radiologists,":[128],"over":[130],"years":[132],"experience":[134],"imaging,":[137],"bi-parametric":[142],"(bpMRI":[144],"including":[145],"T2":[146],"weighted":[147,151],"(T2W)":[148],"diffusion":[150],"(DWI)":[152],"sequences)":[153],"within":[154],"set":[157],"(n<sub>1</sub>=160":[158],"using":[160,167,179],"targeted":[161],"locations.":[163],"Patches":[164],"then":[172],"train":[175],"individual":[176],"(N<sub>1</sub>-N<sub>5</sub>)":[178],"SqueezeNet":[181],"architecture.":[182],"The":[183,203,270],"average":[184,310],"volume":[185,312],"readerdelineated":[187],"varied":[192],"greatly,":[193],"ranging":[194],"between":[195],"1106":[196],"2107":[198],"mm":[199],"across":[200,259,279],"all":[201],"readers.":[202],"resulting":[204],"showed":[206],"no":[207],"difference":[209],"(AUC=":[213],"0.82":[214],"&plusmn;":[215,267],"0.02)":[216],"indicating":[217,319],"they":[219],"relatively":[221],"robust":[222],"ROI.":[227],"models":[229],"evaluated":[231],"independent":[233],"test":[234,300],"sets":[235,301],"(n<sub>2</sub>=85":[236],"lesions,":[237],"n<sub>3</sub>=29":[238],"where":[240],"co-registration":[245],"post-surgical":[249],"pathology,":[250],"unaffected":[251],"ROIs.":[256],"Network":[257],"D<sub>2</sub>":[260,280],"D<sub>3</sub>":[262,282],"was":[263],"0.80&plusmn;0.02":[264],"0.62":[266],"0.03,":[268],"respectively.":[269,287],"CNN":[271],"predictions":[272,297],"moderately":[274],"consistent,":[275],"ICC(2,1)":[277],"scores":[278,316],"being":[283],"0.74":[284],"0.54,":[286],"Higher":[288],"agreement":[289],"ROI":[291,311],"overlap":[292],"produced":[293,313],"higher":[294,309],"correlation":[295],"external":[299],"(R":[302],"=":[303],"0.89,":[304],"p":[305],"&lt;":[306],"0.05).":[307],"Furthermore,":[308],"greater":[314],"AUC":[315],"D<sub>3</sub>,":[318],"comprehensive":[321],"provide":[324],"more":[325],"DL":[328],"use":[331],"classification.":[333],"Inter-reader":[334],"influence":[341],"reliability":[343],"generalizability":[345],"trained":[348],"stratification.":[352]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2025-10-10T00:00:00"}