{"id":"https://openalex.org/W2114589799","doi":"https://doi.org/10.1109/ciss.2014.6814077","title":"Brain tumor identification using Gaussian Mixture Model features and Decision Trees classifier","display_name":"Brain tumor identification using Gaussian Mixture Model features and Decision Trees classifier","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2114589799","doi":"https://doi.org/10.1109/ciss.2014.6814077","mag":"2114589799"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2014.6814077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","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/A5024700033","display_name":"Ahmad Chaddad","orcid":"https://orcid.org/0000-0003-3402-9576"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmad Chaddad","raw_affiliation_strings":["University of Texas MD Anderson Cancer Center, Houston, TX, USA","University of Texas MD Anderson Cancer Center, Houston, 77030, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas MD Anderson Cancer Center, Houston, TX, USA","institution_ids":["https://openalex.org/I1343551460"]},{"raw_affiliation_string":"University of Texas MD Anderson Cancer Center, Houston, 77030, USA","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072374777","display_name":"Pascal O. Zinn","orcid":"https://orcid.org/0000-0003-0091-5887"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pascal O. Zinn","raw_affiliation_strings":["University of Texas MD Anderson Cancer Center, Houston, TX, USA","University of Texas MD Anderson Cancer Center, Houston, 77030, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas MD Anderson Cancer Center, Houston, TX, USA","institution_ids":["https://openalex.org/I1343551460"]},{"raw_affiliation_string":"University of Texas MD Anderson Cancer Center, Houston, 77030, USA","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087117639","display_name":"Rivka R. Colen","orcid":"https://orcid.org/0000-0002-0882-0607"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rivka R. Colen","raw_affiliation_strings":["University of Texas MD Anderson Cancer Center, Houston, TX, USA","University of Texas MD Anderson Cancer Center, Houston, 77030, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas MD Anderson Cancer Center, Houston, TX, USA","institution_ids":["https://openalex.org/I1343551460"]},{"raw_affiliation_string":"University of Texas MD Anderson Cancer Center, Houston, 77030, USA","institution_ids":["https://openalex.org/I1343551460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1343551460"],"apc_list":null,"apc_paid":null,"fwci":1.9758,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85570891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9933000206947327,"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/fluid-attenuated-inversion-recovery","display_name":"Fluid-attenuated inversion recovery","score":0.8127307891845703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.77345871925354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.729377269744873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168068885803223},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5800639986991882},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5691673755645752},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5499311685562134},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5482020974159241},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5149005651473999},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.464402437210083},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.1876603066921234},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.08725866675376892},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07085621356964111}],"concepts":[{"id":"https://openalex.org/C101070640","wikidata":"https://www.wikidata.org/wiki/Q3737215","display_name":"Fluid-attenuated inversion recovery","level":3,"score":0.8127307891845703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.77345871925354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.729377269744873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168068885803223},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5800639986991882},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5691673755645752},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5499311685562134},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5482020974159241},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5149005651473999},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.464402437210083},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.1876603066921234},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.08725866675376892},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07085621356964111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2014.6814077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309422","display_name":"John S. Dunn Foundation","ror":"https://ror.org/03yhprz62"},{"id":"https://openalex.org/F4320332521","display_name":"University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W783453938","https://openalex.org/W1594031697","https://openalex.org/W1596028639","https://openalex.org/W1963941727","https://openalex.org/W1979104443","https://openalex.org/W1983461308","https://openalex.org/W2013942679","https://openalex.org/W2071004091","https://openalex.org/W2090266811","https://openalex.org/W2109876342","https://openalex.org/W2111383637","https://openalex.org/W2125055259","https://openalex.org/W2128728535","https://openalex.org/W2133059825","https://openalex.org/W2133233779","https://openalex.org/W2133827853","https://openalex.org/W2134152745","https://openalex.org/W2149706766","https://openalex.org/W2150591491","https://openalex.org/W2150775559","https://openalex.org/W2154278880","https://openalex.org/W2157270051","https://openalex.org/W2170590026","https://openalex.org/W4236137412"],"related_works":["https://openalex.org/W2397888002","https://openalex.org/W2356247871","https://openalex.org/W2373716292","https://openalex.org/W2381429000","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"This":[0],"paper":[1],"concerns":[2],"a":[3],"new":[4,24],"features":[5,25,83,136],"type":[6],"of":[7,22,52,68,93,125],"Glioblastoma":[8],"(GBM)":[9],"detection":[10,158,177],"based":[11],"on":[12,81],"the":[13,20,23,28,32,46,66,69,91,107,138,143,149,167,184,191],"Gaussian":[14],"Mixture":[15],"Model":[16],"(GMM).":[17],"We":[18],"address":[19],"task":[21],"to":[26,72,89,170,189],"identify":[27],"brain":[29,74],"tumor":[30],"using":[31,45,85,111],"T1,":[33,128],"T2":[34,129,146],"weighted":[35,147],"and":[36,95,103,119,122,130,145,159,178],"FLAIR":[37,165],"MR":[38,53],"images.":[39],"An":[40],"abnormal":[41],"area":[42,97,105],"is":[43,79,187],"detected":[44,73],"multithresholding":[47],"segmentation":[48],"with":[49,155,173],"morphological":[50],"operations":[51],"images,":[54,108,148],"while":[55],"discarding":[56],"those":[57],"that":[58],"are":[59],"either":[60],"redundant":[61],"or":[62],"confusing,":[63],"thereby":[64],"improving":[65],"performance":[67,92,113,140,151],"feature-based":[70],"scheme":[71],"tumor.":[75],"Decision":[76],"Tree":[77],"classifier":[78],"applied":[80],"GMM":[82,135],"reduced":[84],"three":[86,112,123],"principal":[87],"components":[88],"evaluate":[90],"cancer":[94],"normal":[96,104],"discrimination.":[98],"The":[99,134],"discrimination":[100],"between":[101],"GBM":[102,193],"including":[106],"was":[109,152],"compared":[110],"indicators,":[114],"namely,":[115],"accuracy,":[116],"false":[117,161,181],"alarm":[118,162],"missed":[120,157,176],"detection,":[121],"modes":[124],"MRI":[126],"images":[127],"Flair":[131],"were":[132],"employed.":[133],"demonstrated":[137],"best":[139],"overall.":[141],"For":[142],"T1":[144],"accuracy":[150,168],"100":[153],"%":[154,172,175,180],"0%":[156,160],"respectively.":[163],"In":[164],"mode":[166],"decrease":[169],"94.11":[171],"2.95":[174,179],"alarm.":[182],"All":[183],"experimental":[185],"result":[186],"promising":[188],"enhance":[190],"precocious":[192],"diagnosis.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}