{"id":"https://openalex.org/W2153444770","doi":"https://doi.org/10.1109/isbi.2009.5193232","title":"MRI-based classification of brain tumor type and grade using SVM-RFE","display_name":"MRI-based classification of brain tumor type and grade using SVM-RFE","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2153444770","doi":"https://doi.org/10.1109/isbi.2009.5193232","mag":"2153444770"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2009.5193232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2009.5193232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5048652955","display_name":"Evangelia I. Zacharaki","orcid":"https://orcid.org/0000-0001-8228-0437"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Evangelia I. Zacharaki","raw_affiliation_strings":["Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714717","display_name":"Su-Mei Wang","orcid":"https://orcid.org/0000-0002-1285-1553"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumei Wang","raw_affiliation_strings":["Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041255009","display_name":"Sanjeev Chawla","orcid":"https://orcid.org/0000-0001-6978-7284"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev Chawla","raw_affiliation_strings":["Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109359501","display_name":"Dong Soo Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Soo Yoo","raw_affiliation_strings":["Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015402223","display_name":"Ronald L. Wolf","orcid":"https://orcid.org/0000-0003-1887-3697"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald Wolf","raw_affiliation_strings":["Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102723019","display_name":"Elias Melhem","orcid":"https://orcid.org/0000-0003-4693-0943"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elias R. Melhem","raw_affiliation_strings":["Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034999945","display_name":"Christos Davatzikos","orcid":"https://orcid.org/0000-0002-1025-8561"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Davatzikos","raw_affiliation_strings":["Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048652955"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.6751,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.77590548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1035","last_page":"1038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T10885","display_name":"Gene expression and cancer classification","score":0.992900013923645,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8311697244644165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7778645753860474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7627807855606079},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.6550729274749756},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6196713447570801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5767831802368164},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.5595918297767639},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4582556486129761},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4563097059726715},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45338404178619385},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.4379418194293976},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4163145422935486},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.16472652554512024},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1505577564239502},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12775713205337524},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.12566068768501282}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8311697244644165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7778645753860474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7627807855606079},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.6550729274749756},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6196713447570801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5767831802368164},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.5595918297767639},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4582556486129761},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4563097059726715},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45338404178619385},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.4379418194293976},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4163145422935486},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.16472652554512024},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1505577564239502},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12775713205337524},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.12566068768501282},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2009.5193232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2009.5193232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.550000011920929},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1998061827","https://openalex.org/W2006096283","https://openalex.org/W2075056274","https://openalex.org/W2107956883","https://openalex.org/W2109098835","https://openalex.org/W2113159738","https://openalex.org/W2116262873","https://openalex.org/W2136343973","https://openalex.org/W2136747157","https://openalex.org/W2143426320","https://openalex.org/W2144769789","https://openalex.org/W2153635508","https://openalex.org/W2161711122","https://openalex.org/W2281060774","https://openalex.org/W2432517183","https://openalex.org/W2981264952","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2064165679","https://openalex.org/W1588461101","https://openalex.org/W3208525924","https://openalex.org/W2910954186","https://openalex.org/W4205999209","https://openalex.org/W4288570796","https://openalex.org/W3151706544","https://openalex.org/W3026209924","https://openalex.org/W2444525338","https://openalex.org/W2999368888"],"abstract_inverted_index":{"The":[0,53,69,99],"objective":[1],"of":[2,10,18,31,57,123,134],"this":[3],"study":[4],"is":[5,46,88,143],"to":[6],"investigate":[7],"the":[8],"use":[9],"pattern":[11],"classification":[12,35,102,142],"methods":[13],"for":[14,29,50,121,132],"distinguishing":[15],"different":[16],"types":[17],"brain":[19,113],"tumors,":[20,114],"such":[21],"as":[22,78,80],"primary":[23],"gliomas":[24],"from":[25,125,137],"metastases,":[26],"and":[27,43,48,67,75,105,119,127,130],"also":[28,144],"grading":[30],"gliomas.":[32],"A":[33],"computer-assisted":[34],"method":[36],"combining":[37],"conventional":[38],"magnetic":[39],"resonance":[40],"imaging":[41],"(MRI)":[42],"perfusion":[44],"MRI":[45],"developed":[47],"used":[49],"differential":[51],"diagnosis.":[52],"proposed":[54],"scheme":[55],"consists":[56],"several":[58],"steps":[59],"including":[60],"ROI":[61],"definition,":[62],"feature":[63,65,97],"extraction,":[64],"selection":[66,87],"classification.":[68],"extracted":[70],"features":[71],"include":[72],"tumor":[73],"shape":[74],"intensity":[76],"characteristics":[77],"well":[79],"rotation":[81],"invariant":[82],"texture":[83],"features.":[84],"Features":[85],"subset":[86],"performed":[89,145],"using":[90],"Support":[91],"Vector":[92],"machines":[93],"(SVMs)":[94],"with":[95],"recursive":[96],"elimination.":[98],"binary":[100],"SVM":[101],"accuracy,":[103],"sensitivity,":[104],"specificity,":[106],"assessed":[107],"by":[108],"leave-one-out":[109],"cross-validation":[110],"on":[111],"102":[112],"are":[115],"respectively":[116],"87%,":[117,128],"89%,":[118],"79%":[120],"discrimination":[122,133],"metastases":[124],"gliomas,":[126],"83%,":[129],"96%":[131],"high":[135],"grade":[136,139],"low":[138],"neoplasms.":[140],"Multi-class":[141],"via":[146],"a":[147],"one-versus-all":[148],"voting":[149],"scheme.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
