{"id":"https://openalex.org/W2156639319","doi":"https://doi.org/10.1109/icip.2009.5413878","title":"Multi-kernel SVM based classification for brain tumor segmentation of MRI multi-sequence","display_name":"Multi-kernel SVM based classification for brain tumor segmentation of MRI multi-sequence","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2156639319","doi":"https://doi.org/10.1109/icip.2009.5413878","mag":"2156639319"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100641132","display_name":"Nan Zhang","orcid":"https://orcid.org/0000-0001-9620-5665"},"institutions":[{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China","INSA de Lyon, CREATIS, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"INSA de Lyon, CREATIS, France","institution_ids":["https://openalex.org/I4210138704","https://openalex.org/I48430043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037212091","display_name":"Su Ruan","orcid":"https://orcid.org/0000-0001-8785-6917"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]},{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Su Ruan","raw_affiliation_strings":["IUT de Troyes, CReSTIC, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IUT de Troyes, CReSTIC, France","institution_ids":["https://openalex.org/I140494188","https://openalex.org/I4210100943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111386128","display_name":"S. Lebonvallet","orcid":null},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]},{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stephane Lebonvallet","raw_affiliation_strings":["IUT de Troyes, CReSTIC, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IUT de Troyes, CReSTIC, France","institution_ids":["https://openalex.org/I140494188","https://openalex.org/I4210100943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605235","display_name":"Yuemin Zhu","orcid":"https://orcid.org/0000-0001-6814-1449"},"institutions":[{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yuemin Zhu","raw_affiliation_strings":["INSA de Lyon, CREATIS, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA de Lyon, CREATIS, France","institution_ids":["https://openalex.org/I4210138704","https://openalex.org/I48430043"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3373","last_page":"3376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9959999918937683,"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":0.9959999918937683,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9765999913215637,"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/support-vector-machine","display_name":"Support vector machine","score":0.8418824076652527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7937866449356079},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7160900831222534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6822725534439087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6815471053123474},{"id":"https://openalex.org/keywords/fluid-attenuated-inversion-recovery","display_name":"Fluid-attenuated inversion recovery","score":0.614389955997467},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5572371482849121},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.5120854377746582},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49448561668395996},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49148380756378174},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4434104859828949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3303946256637573},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2541835904121399},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15217873454093933},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12168258428573608},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10581895709037781},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.061312347650527954}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8418824076652527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7937866449356079},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7160900831222534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6822725534439087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6815471053123474},{"id":"https://openalex.org/C101070640","wikidata":"https://www.wikidata.org/wiki/Q3737215","display_name":"Fluid-attenuated inversion recovery","level":3,"score":0.614389955997467},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5572371482849121},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.5120854377746582},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49448561668395996},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49148380756378174},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4434104859828949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3303946256637573},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2541835904121399},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15217873454093933},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12168258428573608},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10581895709037781},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.061312347650527954},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W2109197306","https://openalex.org/W2117991580","https://openalex.org/W2120336557","https://openalex.org/W2129109731","https://openalex.org/W2135257593","https://openalex.org/W2136943418","https://openalex.org/W2145183917","https://openalex.org/W2148694408","https://openalex.org/W2150772522","https://openalex.org/W2155074104","https://openalex.org/W2156909104","https://openalex.org/W2163973397","https://openalex.org/W2537419390","https://openalex.org/W4292023222"],"related_works":["https://openalex.org/W2397888002","https://openalex.org/W2356247871","https://openalex.org/W2373716292","https://openalex.org/W2381429000","https://openalex.org/W2364564193","https://openalex.org/W2393352769","https://openalex.org/W2131742827","https://openalex.org/W4389341328","https://openalex.org/W4309923383","https://openalex.org/W2408873457"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,33,43,51,58,63,69,74,86,106,109,114,117,134,137],"multi-kernel":[4,91],"SVM":[5,92],"(Support":[6],"Vector":[7],"Machine)":[8],"classification,":[9],"integrated":[10],"with":[11],"a":[12,36,39,46,90],"fusion":[13],"process,":[14],"is":[15,30,53],"proposed":[16,138],"to":[17,31],"segment":[18],"brain":[19],"tumor":[20,37,52,87,110],"from":[21],"multi-sequence":[22],"MRI":[23,60],"images":[24],"(T2,":[25],"PD,":[26],"FLAIR).":[27],"The":[28,82,102,130],"objective":[29],"quantify":[32],"evolution":[34],"of":[35,79,108,136],"during":[38],"therapeutic":[40],"treatment.":[41],"As":[42],"procedure":[44],"develops,":[45],"manual":[47],"learning":[48,70],"process":[49],"about":[50],"carried":[54],"out":[55],"just":[56],"on":[57,65,95,126],"first":[59,83],"examination.":[61],"Then":[62],"follow-up":[64],"coming":[66],"examinations":[67],"adapts":[68],"automatically":[71],"and":[72,98,116],"delineates":[73],"tumor.":[75],"Our":[76,121],"method":[77,122],"consists":[78],"two":[80],"steps.":[81],"one":[84,104],"classifies":[85],"region":[88,111],"using":[89,112],"which":[93],"performs":[94],"multi-image":[96],"sources":[97],"obtains":[99],"relative":[100],"multi-result.":[101],"second":[103],"ameliorates":[105],"contour":[107],"both":[113],"distance":[115],"maximum":[118],"likelihood":[119],"measures.":[120],"has":[123],"been":[124],"tested":[125],"real":[127],"patient":[128],"images.":[129],"quantification":[131],"evaluation":[132],"proves":[133],"effectiveness":[135],"method.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}