{"id":"https://openalex.org/W3012496168","doi":"https://doi.org/10.1117/12.2549087","title":"Benign and malignant thyroid classification using computed tomography radiomics","display_name":"Benign and malignant thyroid classification using computed tomography radiomics","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3012496168","doi":"https://doi.org/10.1117/12.2549087","mag":"3012496168"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549087","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549087","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: 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/A5110575649","display_name":"Bang Jun Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Bang Jun Guo","raw_affiliation_strings":["Emory Univ. (United States)","Nanjing Univ. (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"Nanjing Univ. (China)","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034119956","display_name":"Xiuxiu He","orcid":"https://orcid.org/0000-0002-8559-9520"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiuxiu He","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049656223","display_name":"Tonghe Wang","orcid":"https://orcid.org/0000-0001-9021-1204"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tonghe Wang","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011903902","display_name":"Yang Lei","orcid":"https://orcid.org/0000-0002-3572-0345"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Lei","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088869","display_name":"Walter J. Curran","orcid":"https://orcid.org/0000-0002-7552-4453"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter J. Curran","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365653","display_name":"Tian Liu","orcid":"https://orcid.org/0000-0002-5810-4318"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Liu","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032320397","display_name":"Long Jiang Zhang","orcid":"https://orcid.org/0000-0002-6664-7224"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Jiang Zhang","raw_affiliation_strings":["Nanjing Univ. (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Nanjing Univ. (China)","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619090","display_name":"Xiaofeng Yang","orcid":"https://orcid.org/0000-0001-9023-5855"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5110575649"],"corresponding_institution_ids":["https://openalex.org/I150468666","https://openalex.org/I58200834","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.3304,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61419952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"142","last_page":"142"},"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":0.9767000079154968,"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":0.9767000079154968,"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/T10329","display_name":"Thyroid Cancer Diagnosis and Treatment","score":0.946399986743927,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/radiomics","display_name":"Radiomics","score":0.9331701993942261},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.6828881502151489},{"id":"https://openalex.org/keywords/thyroid","display_name":"Thyroid","score":0.54939204454422},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.5196667909622192},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.49694564938545227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4258691668510437},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4180494546890259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3271317481994629},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1095501184463501}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.9331701993942261},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.6828881502151489},{"id":"https://openalex.org/C526584372","wikidata":"https://www.wikidata.org/wiki/Q16399","display_name":"Thyroid","level":2,"score":0.54939204454422},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5196667909622192},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.49694564938545227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4258691668510437},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4180494546890259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3271317481994629},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1095501184463501}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2549087","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549087","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W4285163831"],"abstract_inverted_index":{"Thyroid":[0],"cancer":[1],"(TC)":[2],"is":[3,41,63],"a":[4,8,29,67,129,202],"prevalent":[5],"malignancy":[6],"with":[7,86],"high":[9],"predicated":[10],"new":[11],"case":[12],"number":[13],"and":[14,48,81,122,138,158],"estimated":[15],"death":[16],"in":[17,95],"2019.":[18],"Although":[19],"four":[20],"to":[21,90,127,134,185],"seven":[22],"percent":[23],"of":[24,36,73,114,145,194],"the":[25,61,71,103,115,146,150,161],"adult":[26],"population":[27],"has":[28,153],"palpable":[30],"thyroid":[31,57,74,76,78,93,97,101,105,116,137,140,179,195,198],"nodule,":[32],"however":[33],"only":[34],"one":[35],"twenty":[37],"clinically":[38],"identified":[39],"TNs":[40],"malignant.":[42],"Imaging":[43],"modalities,":[44],"including":[45],"US,":[46],"CT,":[47],"magnetic":[49],"resonance":[50],"(MRI),":[51],"have":[52,91],"been":[53],"widely":[54],"used":[55,184],"for":[56,70,205],"nodule":[58],"evaluation,":[59],"but":[60],"reliability":[62],"low.":[64],"We":[65],"propose":[66],"learning":[68],"method":[69,152],"classification":[72],"using":[75],"non-enhanced":[77,104,178,197],"computed":[79],"tomography":[80],"radiomics":[82],"study.":[83],"Ninety-two":[84],"patients":[85],"suspected":[87],"or":[88,208],"known":[89],"abnormal":[92],"nodules":[94],"their":[96],"were":[98,117,125],"enrolled.":[99],"The":[100,119,191],"on":[102],"CT":[106,180,199],"was":[107],"manually":[108],"segmented.":[109],"One":[110],"hundred":[111],"radiomic":[112,192],"features":[113,124,175,193],"extracted.":[118],"most":[120],"informative":[121],"nonredundant":[123],"selected":[126],"train":[128],"Support":[130],"Vector":[131],"Machine":[132],"(SVM)":[133],"differentiate":[135],"benign":[136,187,207],"malignant":[139,142,189,209],"(with":[141],"TNs).":[143],"Analysis":[144],"predictions":[147],"showed":[148],"that":[149,173],"reported":[151],"accuracy":[154],"0.8185":[155],"±":[156,168],"0.0366":[157],"area":[159],"under":[160],"receiver":[162],"operating":[163],"characteristic":[164],"curve":[165],"(AUC)":[166],"0.8376":[167],"0.0343.":[169],"This":[170],"study":[171],"shows":[172],"thyroidradiomic":[174],"derived":[176],"from":[177,196],"data":[181],"can":[182],"be":[183,201],"classify":[186],"vs.":[188],"thyroid.":[190,210],"could":[200],"useful":[203],"tool":[204],"determining":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}