{"id":"https://openalex.org/W2316446569","doi":"https://doi.org/10.1117/12.2216329","title":"Computerized lung cancer malignancy level analysis using 3D texture features","display_name":"Computerized lung cancer malignancy level analysis using 3D texture features","publication_year":2016,"publication_date":"2016-03-24","ids":{"openalex":"https://openalex.org/W2316446569","doi":"https://doi.org/10.1117/12.2216329","mag":"2316446569"},"language":"en","primary_location":{"id":"doi:10.1117/12.2216329","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216329","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/A5061443122","display_name":"Wenqing Sun","orcid":"https://orcid.org/0000-0002-7139-8867"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenqing Sun","raw_affiliation_strings":["The Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033757017","display_name":"Xia Huang","orcid":"https://orcid.org/0000-0003-2321-5971"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Huang","raw_affiliation_strings":["The Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058784524","display_name":"Tzu-Liang Tseng","orcid":"https://orcid.org/0000-0002-3903-529X"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tzu-Liang Tseng","raw_affiliation_strings":["The Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112266224","display_name":"Jianying Zhang","orcid":"https://orcid.org/0000-0002-1460-2817"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianying Zhang","raw_affiliation_strings":["The Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374757","display_name":"Wei Qian","orcid":"https://orcid.org/0000-0002-9563-721X"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Qian","raw_affiliation_strings":["The Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061443122"],"corresponding_institution_ids":["https://openalex.org/I164936912"],"apc_list":null,"apc_paid":null,"fwci":2.2216,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86624607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9785","issue":null,"first_page":"978538","last_page":"978538"},"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":0.9965999722480774,"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":0.9965999722480774,"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":0.9904999732971191,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9689000248908997,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6581593751907349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6421006917953491},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5972748398780823},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5622114539146423},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.5455065369606018},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4540196657180786},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.4531165063381195},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.449938029050827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43079501390457153},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4277690052986145},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22314602136611938},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2056962251663208},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1346225142478943},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1078038215637207}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6581593751907349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421006917953491},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5972748398780823},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5622114539146423},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.5455065369606018},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4540196657180786},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.4531165063381195},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.449938029050827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43079501390457153},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4277690052986145},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22314602136611938},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2056962251663208},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1346225142478943},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1078038215637207},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2216329","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216329","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":0.7599999904632568,"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":16,"referenced_works":["https://openalex.org/W86277513","https://openalex.org/W1967468318","https://openalex.org/W1991605728","https://openalex.org/W2019064108","https://openalex.org/W2080883421","https://openalex.org/W2084954972","https://openalex.org/W2096945460","https://openalex.org/W2114950774","https://openalex.org/W2124386111","https://openalex.org/W2124921163","https://openalex.org/W2163352848","https://openalex.org/W4205622916","https://openalex.org/W6603488088","https://openalex.org/W6655108285","https://openalex.org/W6671638102","https://openalex.org/W6723635755"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2172196609","https://openalex.org/W2049930962","https://openalex.org/W1589677080","https://openalex.org/W2770255720","https://openalex.org/W281791438","https://openalex.org/W1509533962"],"abstract_inverted_index":{"Based":[0],"on":[1,50,171],"the":[2,6,26,36,88,125,149,152,163,178],"likelihood":[3],"of":[4,28,39,44,87,91,122],"malignancy,":[5],"nodules":[7,52,133],"are":[8,157],"classified":[9],"into":[10],"five":[11,61],"different":[12],"levels":[13,56],"in":[14,116],"Lung":[15],"Image":[16],"Database":[17],"Consortium":[18],"(LIDC)":[19],"database.":[20],"In":[21],"this":[22],"study,":[23],"we":[24],"tested":[25,49,170],"possibility":[27],"using":[29,162],"threedimensional":[30],"(3D)":[31],"texture":[32],"features":[33,45,109,123,128,167],"to":[34,113,131],"identify":[35],"malignancy":[37,55],"level":[38,66],"each":[40],"nodule.":[41],"Five":[42],"groups":[43,63],"were":[46,129,168,183],"implemented":[47],"and":[48,83,124,140,155,159,174,177,181,185],"172":[51],"with":[53],"confident":[54],"from":[57],"four":[58],"radiologists.":[59],"These":[60,166],"feature":[62,77],"are:":[64],"grey":[65],"co-occurrence":[67],"matrix":[68],"(GLCM)":[69],"features,":[70,75,80,82,94],"local":[71],"binary":[72],"pattern":[73],"(LBP)":[74],"scale-invariant":[76],"transform":[78],"(SIFT)":[79],"steerable":[81],"wavelet":[84],"features.":[85,165],"Because":[86],"high":[89],"dimensionality":[90],"our":[92,107],"proposed":[93],"multidimensional":[95],"scaling":[96],"(MDS)":[97],"was":[98,104],"used":[99,130],"for":[100,106,110,136],"dimension":[101],"reduction.":[102],"RUSBoost":[103],"applied":[105],"extracted":[108],"classification,":[111],"due":[112],"its":[114],"advantages":[115],"handling":[117],"imbalanced":[118],"dataset.":[119],"Each":[120],"group":[121],"final":[126],"combined":[127],"classify":[132],"highly":[134],"suspicious":[135,142],"cancer":[137],"(level":[138,143],"5)":[139],"moderately":[141],"4).":[144],"The":[145],"results":[146],"showed":[147],"that":[148],"area":[150],"under":[151],"curve":[153],"(AUC)":[154],"accuracy":[156,182],"0.7659":[158],"0.8365":[160],"when":[161],"finalized":[164],"also":[169],"differentiating":[172],"benign":[173],"malignant":[175],"cases,":[176],"reported":[179],"AUC":[180],"0.8901":[184],"0.9353.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
