{"id":"https://openalex.org/W2318780100","doi":"https://doi.org/10.1117/12.2217444","title":"Change descriptors for determining nodule malignancy in national lung screening trial CT screening images","display_name":"Change descriptors for determining nodule malignancy in national lung screening trial CT screening images","publication_year":2016,"publication_date":"2016-03-24","ids":{"openalex":"https://openalex.org/W2318780100","doi":"https://doi.org/10.1117/12.2217444","mag":"2318780100"},"language":"en","primary_location":{"id":"doi:10.1117/12.2217444","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217444","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5023444074","display_name":"Benjamin Geiger","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benjamin Geiger","raw_affiliation_strings":["Univ. of South Florida (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of South Florida (United States)","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078111963","display_name":"Samuel Hawkins","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Hawkins","raw_affiliation_strings":["Univ. of South Florida (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of South Florida (United States)","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000168449","display_name":"Lawrence Hall","orcid":"https://orcid.org/0000-0002-7898-8456"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence O. Hall","raw_affiliation_strings":["Univ. of South Florida (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of South Florida (United States)","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053211631","display_name":"Dmitry B. Goldgof","orcid":"https://orcid.org/0000-0001-5461-863X"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitry B. Goldgof","raw_affiliation_strings":["Univ. of South Florida (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of South Florida (United States)","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004434800","display_name":"Yoganand Balagurunathan","orcid":"https://orcid.org/0000-0002-5598-4727"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoganand Balagurunathan","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. & Research Institute (United States)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. & Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032533490","display_name":"Robert A. Gatenby","orcid":"https://orcid.org/0000-0002-1621-1510"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert A. Gatenby","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. & Research Institute (United States)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. & Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082346230","display_name":"Robert J. Gillies","orcid":"https://orcid.org/0000-0002-8888-7747"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert J. Gillies","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. & Research Institute (United States)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. & Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5023444074"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":0.2502,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61465851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9785","issue":null,"first_page":"978535","last_page":"978535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9991000294685364,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9991000294685364,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9911999702453613,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/malignancy","display_name":"Malignancy","score":0.6742497086524963},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.6066440939903259},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.5621311664581299},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.5538368821144104},{"id":"https://openalex.org/keywords/biopsy","display_name":"Biopsy","score":0.5174770355224609},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4897890090942383},{"id":"https://openalex.org/keywords/lung-cancer-screening","display_name":"Lung cancer screening","score":0.4777488112449646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4757806360721588},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45370006561279297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4532252252101898},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4259626865386963},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4162295162677765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3305218517780304},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17165985703468323}],"concepts":[{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.6742497086524963},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.6066440939903259},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5621311664581299},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.5538368821144104},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.5174770355224609},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4897890090942383},{"id":"https://openalex.org/C2777405583","wikidata":"https://www.wikidata.org/wiki/Q6704277","display_name":"Lung cancer screening","level":3,"score":0.4777488112449646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4757806360721588},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45370006561279297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4532252252101898},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4259626865386963},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4162295162677765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3305218517780304},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17165985703468323},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2217444","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217444","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W130099911","https://openalex.org/W1495061682","https://openalex.org/W1808644423","https://openalex.org/W1912123407","https://openalex.org/W2061077502","https://openalex.org/W2062744135","https://openalex.org/W2110723426","https://openalex.org/W2125055259","https://openalex.org/W2911964244","https://openalex.org/W4237028743","https://openalex.org/W4252278281","https://openalex.org/W6629652716","https://openalex.org/W6638249342","https://openalex.org/W6640114639","https://openalex.org/W6678449394"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W3135126032","https://openalex.org/W2889302474","https://openalex.org/W2011970480"],"abstract_inverted_index":{"Pulmonary":[0],"nodules":[1,120,129],"are":[2,48],"effectively":[3],"diagnosed":[4],"in":[5,45,88,160],"CT":[6,60],"scans,":[7,61],"but":[8],"determining":[9],"their":[10,135],"malignancy":[11],"has":[12],"been":[13],"a":[14,24,31,109,155,161,185],"challenge.":[15],"The":[16],"rate":[17],"of":[18,20,23,55,72,85,102,141,157,171,175,187],"change":[19],"the":[21,53,64,73,83,92,100,180,200],"volume":[22],"pulmonary":[25],"nodule":[26,110],"is":[27],"known":[28],"to":[29,98,106,122,131,166,190],"be":[30,123,132,167,191],"prognostic":[32],"factor":[33],"for":[34,91],"cancer":[35],"development.":[36],"In":[37],"this":[38],"study,":[39],"we":[40,95],"propose":[41],"that":[42,159],"other":[43],"changes":[44],"imaging":[46],"characteristics":[47],"similarly":[49],"informative.":[50],"We":[51,114],"examined":[52],"combination":[54],"image":[56],"features":[57,87,158,188],"across":[58],"multiple":[59,89],"taken":[62],"from":[63],"National":[65],"Lung":[66],"Screening":[67],"Trial,":[68],"with":[69,179,199],"individual":[70],"scans":[71,90],"same":[74,93],"patient":[75],"separated":[76],"by":[77,125,134],"approximately":[78],"one":[79],"year.":[80],"By":[81],"subtracting":[82],"values":[84],"existing":[86,103],"patient,":[94],"were":[96,145,164,177],"able":[97],"improve":[99],"ability":[101],"classification":[104],"algorithms":[105],"determine":[107],"whether":[108],"will":[111],"become":[112],"malignant.":[113],"trained":[115],"each":[116],"classifier":[117,183],"on":[118,147,184],"83":[119],"determined":[121,130,189],"malignant":[124,149],"biopsy":[126],"and":[127,150,173],"172":[128],"benign":[133,152],"clinical":[136],"stability":[137],"through":[138],"two":[139],"years":[140],"no":[142],"change;":[143],"classifiers":[144],"tested":[146],"77":[148],"144":[151],"nodules,":[153],"using":[154],"set":[156],"test-retest":[162,194],"experiment":[163],"shown":[165],"stable.":[168],"An":[169],"accuracy":[170],"83.71%":[172],"AUC":[174],"0.814":[176],"achieved":[178],"Random":[181],"Forests":[182],"subset":[186],"stable":[192],"via":[193],"reproducibility":[195],"analysis,":[196],"further":[197],"reduced":[198],"Correlation-based":[201],"Feature":[202],"Selection":[203],"algorithm.":[204]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}