{"id":"https://openalex.org/W4362664267","doi":"https://doi.org/10.1117/12.2653826","title":"Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models","display_name":"Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362664267","doi":"https://doi.org/10.1117/12.2653826"},"language":"en","primary_location":{"id":"doi:10.1117/12.2653826","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: 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/A5000245959","display_name":"Lin Guo","orcid":"https://orcid.org/0000-0002-5910-3464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Guo","raw_affiliation_strings":["Shenzhen Zhying Medical Imaging Co., Ltd. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Zhying Medical Imaging Co., Ltd. (China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061272622","display_name":"Kunlei Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kunlei Hong","raw_affiliation_strings":["Shenzhen Zhying Medical Imaging Co., Ltd. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Zhying Medical Imaging Co., Ltd. (China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404393","display_name":"Ziqi Zhang","orcid":"https://orcid.org/0000-0002-9097-7741"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Zhang","raw_affiliation_strings":["Tsinghua-Berkeley Shenzhen Institute (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute (China)","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045998635","display_name":"Bin Zheng","orcid":"https://orcid.org/0000-0002-7682-6648"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Zheng","raw_affiliation_strings":["The Univ. of Oklahoma (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035100758","display_name":"Stefan Jaeger","orcid":"https://orcid.org/0000-0001-6877-4318"},"institutions":[{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan Jaeger","raw_affiliation_strings":["U.S. National Library of Medicine (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. National Library of Medicine (United States)","institution_ids":["https://openalex.org/I2800548410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050037650","display_name":"Jordan Fuhrman","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Fuhrman","raw_affiliation_strings":["The Univ. of Chicago (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423976","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-3139-2898"},"institutions":[{"id":"https://openalex.org/I4210134534","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210134534"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["National Institute of Allergy and Infectious Diseases (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Allergy and Infectious Diseases (United States)","institution_ids":["https://openalex.org/I4210134534"]}]},{"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)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Chicago (United States)","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074187962","display_name":"Andrei Gabrielian","orcid":"https://orcid.org/0000-0002-8392-924X"},"institutions":[{"id":"https://openalex.org/I4210134534","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210134534"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrei Gabrielian","raw_affiliation_strings":["National Institute of Allergy and Infectious Diseases (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Allergy and Infectious Diseases (United States)","institution_ids":["https://openalex.org/I4210134534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042702616","display_name":"Alex Rosenthal","orcid":"https://orcid.org/0000-0003-4190-9045"},"institutions":[{"id":"https://openalex.org/I4210134534","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210134534"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Rosenthal","raw_affiliation_strings":["National Institute of Allergy and Infectious Diseases (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Allergy and Infectious Diseases (United States)","institution_ids":["https://openalex.org/I4210134534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039585773","display_name":"Darrell E. Hurt","orcid":"https://orcid.org/0000-0002-9829-8567"},"institutions":[{"id":"https://openalex.org/I4210134534","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210134534"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Darrell E. Hurt","raw_affiliation_strings":["National Institute of Allergy and Infectious Diseases (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Allergy and Infectious Diseases (United States)","institution_ids":["https://openalex.org/I4210134534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051027046","display_name":"Ziv Yaniv","orcid":"https://orcid.org/0000-0003-0315-7727"},"institutions":[{"id":"https://openalex.org/I4210134534","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210134534"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziv Yaniv","raw_affiliation_strings":["National Institute of Allergy and Infectious Diseases (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Allergy and Infectious Diseases (United States)","institution_ids":["https://openalex.org/I4210134534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065450833","display_name":"Y.M.F. Lure","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142445","display_name":"SA Technologies (United States)","ror":"https://ror.org/046qmva50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142445"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y.M. Fleming Lure","raw_affiliation_strings":["MS Technologies Corp. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MS Technologies Corp. (United States)","institution_ids":["https://openalex.org/I4210142445"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":13,"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":0.14015443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","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/T11775","display_name":"COVID-19 diagnosis using AI","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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9987000226974487,"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/T10862","display_name":"AI in cancer detection","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.871193528175354},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.678439736366272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5979524850845337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5778439044952393},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.52142333984375},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.45046868920326233},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.34485507011413574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3334822356700897},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3314271569252014},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.22084417939186096}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.871193528175354},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.678439736366272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5979524850845337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5778439044952393},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.52142333984375},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.45046868920326233},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34485507011413574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3334822356700897},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3314271569252014},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.22084417939186096},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2653826","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2089025912","https://openalex.org/W2346062110","https://openalex.org/W2592929672","https://openalex.org/W2753556039","https://openalex.org/W2783687327","https://openalex.org/W2791103947","https://openalex.org/W2793678581","https://openalex.org/W2901954625","https://openalex.org/W2905810301","https://openalex.org/W3007935259","https://openalex.org/W3048634440","https://openalex.org/W3074741277","https://openalex.org/W3134475970","https://openalex.org/W4285394941","https://openalex.org/W4300703676","https://openalex.org/W4362489318","https://openalex.org/W6743715775","https://openalex.org/W6749437253","https://openalex.org/W6749574665","https://openalex.org/W6768688560"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"To":[0],"assess":[1],"a":[2,36,43,69,120,229],"Smart":[3],"Imagery":[4],"Framing":[5],"and":[6,13,42,60,80,107,152,157,171,196,236,248],"Truthing":[7],"(SIFT)":[8],"system":[9,31],"in":[10,119,215],"automatically":[11,65],"labeling":[12],"annotating":[14],"chest":[15],"X-ray":[16,246],"(CXR)":[17],"images":[18,52],"with":[19,51,68,141,156],"multiple":[20],"diseases":[21],"as":[22],"an":[23],"assist":[24],"to":[25,111,144,207],"radiologists":[26,118,155,165],"on":[27,116,184],"multi-disease":[28],"CXRs.":[29,63],"SIFT":[30,64,142,159,168,227],"was":[32,109,160],"developed":[33],"by":[34,177,182,193,201,212],"integrating":[35],"convolutional":[37],"neural":[38,46],"network":[39],"based-augmented":[40],"MaskR-CNN":[41],"multi-layer":[44],"perceptron":[45],"network.":[47],"It":[48],"is":[49,228,241],"trained":[50],"containing":[53,93],"307,415":[54],"ROIs":[55,67,95,140],"representing":[56],"69":[57],"different":[58,98],"abnormalities":[59,99,217],"67,071":[61],"normal":[62],"labels":[66],"specific":[70],"type":[71],"of":[72,85,90,149,238],"abnormality,":[73],"annotates":[74],"fine-grained":[75],"boundary,":[76],"gives":[77],"confidence":[78],"score,":[79],"recommends":[81],"other":[82],"possible":[83],"types":[84],"abnormality.":[86],"An":[87],"independent":[88],"set":[89],"178":[91],"CXRs":[92],"272":[94],"depicting":[96],"five":[97],"including":[100],"pulmonary":[101,103],"tuberculosis,":[102],"nodule,":[104],"pneumonia,":[105],"COVID-19,":[106],"fibrogenesis":[108],"used":[110],"evaluate":[112],"radiologists\u2019":[113],"performance":[114],"based":[115],"three":[117],"double-blinded":[121],"study.":[122],"The":[123,187,204],"radiologist":[124,136],"first":[125],"manually":[126],"annotated":[127,137,169,174],"each":[128],"ROI":[129],"without":[130,158],"SIFT.":[131],"Two":[132],"weeks":[133],"later,":[134],"the":[135,138,220,234],"same":[139],"aid":[143],"generate":[145],"final":[146],"results.":[147],"Evaluation":[148],"consistency,":[150],"efficiency":[151,237],"accuracy":[153],"for":[154,243],"conducted.":[161],"After":[162],"using":[163],"SIFT,":[164],"accept":[166],"93%":[167],"area,":[170],"variation":[172,180],"across":[173],"area":[175],"reduce":[176],"28.23%.":[178],"Inter-observer":[179],"improves":[181],"25.27%":[183],"averaged":[185],"IOU.":[186],"consensus":[188],"true":[189],"positive":[190,198],"rate":[191,199],"increases":[192],"5.00%":[194],"(p=0.16),":[195],"false":[197],"decreases":[200,211],"27.70%":[202],"(p&lt;0.001).":[203],"radiologist\u2019s":[205],"time":[206],"annotate":[208],"these":[209],"cases":[210],"42.30%.":[213],"Performance":[214],"labelling":[216],"statistically":[218],"remains":[219],"same.":[221],"Independent":[222],"observer":[223],"study":[224],"showed":[225],"that":[226],"promising":[230],"step":[231],"toward":[232],"improving":[233,244],"consistency":[235],"annotation,":[239],"which":[240],"important":[242],"clinical":[245],"diagnostic":[247],"monitoring":[249],"efficiency.":[250]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
