{"id":"https://openalex.org/W2499437345","doi":"https://doi.org/10.1109/atsip.2016.7523061","title":"Segmentation of low-grade gliomas in MRI: Phase based method","display_name":"Segmentation of low-grade gliomas in MRI: Phase based method","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2499437345","doi":"https://doi.org/10.1109/atsip.2016.7523061","mag":"2499437345"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2016.7523061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2016.7523061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"},"type":"preprint","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/A5023407106","display_name":"R. Zaouche","orcid":"https://orcid.org/0000-0002-8505-626X"},"institutions":[{"id":"https://openalex.org/I187560010","display_name":"University of B\u00e9ja\u00efa","ror":"https://ror.org/03yb2hp88","country_code":"DZ","type":"education","lineage":["https://openalex.org/I187560010"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"R. Zaouche","raw_affiliation_strings":["University of Abderrahmane Mira of Bejaia, LIMED Laboratory, Bejaia, Algeria"],"affiliations":[{"raw_affiliation_string":"University of Abderrahmane Mira of Bejaia, LIMED Laboratory, Bejaia, Algeria","institution_ids":["https://openalex.org/I187560010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075468902","display_name":"Ahror Belaid","orcid":"https://orcid.org/0000-0001-7551-6069"},"institutions":[{"id":"https://openalex.org/I187560010","display_name":"University of B\u00e9ja\u00efa","ror":"https://ror.org/03yb2hp88","country_code":"DZ","type":"education","lineage":["https://openalex.org/I187560010"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"A. Belaid","raw_affiliation_strings":["University of Abderrahmane Mira of Bejaia, LIMED Laboratory, Bejaia, Algeria"],"affiliations":[{"raw_affiliation_string":"University of Abderrahmane Mira of Bejaia, LIMED Laboratory, Bejaia, Algeria","institution_ids":["https://openalex.org/I187560010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112191936","display_name":"S. Aloui","orcid":null},"institutions":[{"id":"https://openalex.org/I187560010","display_name":"University of B\u00e9ja\u00efa","ror":"https://ror.org/03yb2hp88","country_code":"DZ","type":"education","lineage":["https://openalex.org/I187560010"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"S. Aloui","raw_affiliation_strings":["University of Abderrahmane Mira of Bejaia, LIMED Laboratory, Bejaia, Algeria"],"affiliations":[{"raw_affiliation_string":"University of Abderrahmane Mira of Bejaia, LIMED Laboratory, Bejaia, Algeria","institution_ids":["https://openalex.org/I187560010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105340724","display_name":"B. Solaiman","orcid":null},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Solaiman","raw_affiliation_strings":["Image & Information Processing Department, Institut TELECOM, France"],"affiliations":[{"raw_affiliation_string":"Image & Information Processing Department, Institut TELECOM, France","institution_ids":["https://openalex.org/I205703379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079720434","display_name":"Ahc\u00e8ne Bounceur","orcid":"https://orcid.org/0000-0002-0043-7742"},"institutions":[{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Bounceur","raw_affiliation_strings":["University of Brest, Lab-STICC Laboratory, France"],"affiliations":[{"raw_affiliation_string":"University of Brest, Lab-STICC Laboratory, France","institution_ids":["https://openalex.org/I161929037","https://openalex.org/I4210123702"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042773181","display_name":"D. Ben Salem","orcid":"https://orcid.org/0000-0001-5532-2208"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"D. Ben Salem","raw_affiliation_strings":["LaTIM-INSERM UMR 1101, Neuroradiologie, France"],"affiliations":[{"raw_affiliation_string":"LaTIM-INSERM UMR 1101, Neuroradiologie, France","institution_ids":["https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022249446","display_name":"S. Sid-Ahmed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Sid-Ahmed","raw_affiliation_strings":["Neurosurgery department, France"],"affiliations":[{"raw_affiliation_string":"Neurosurgery department, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006441626","display_name":"S. Tliba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Tliba","raw_affiliation_strings":["Neurosurgery department, Biological Engineering of Cancers"],"affiliations":[{"raw_affiliation_string":"Neurosurgery department, Biological Engineering of Cancers","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5023407106"],"corresponding_institution_ids":["https://openalex.org/I187560010"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06194163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"97","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9639000296592712,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fluid-attenuated-inversion-recovery","display_name":"Fluid-attenuated inversion recovery","score":0.8743014335632324},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.7079941630363464},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.6588030457496643},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6547558903694153},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.5685627460479736},{"id":"https://openalex.org/keywords/parenchyma","display_name":"Parenchyma","score":0.5400503277778625},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46132272481918335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4347204864025116},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4214729964733124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34119120240211487},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.28433552384376526}],"concepts":[{"id":"https://openalex.org/C101070640","wikidata":"https://www.wikidata.org/wiki/Q3737215","display_name":"Fluid-attenuated inversion recovery","level":3,"score":0.8743014335632324},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.7079941630363464},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.6588030457496643},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6547558903694153},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.5685627460479736},{"id":"https://openalex.org/C196822366","wikidata":"https://www.wikidata.org/wiki/Q270524","display_name":"Parenchyma","level":2,"score":0.5400503277778625},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46132272481918335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4347204864025116},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4214729964733124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34119120240211487},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.28433552384376526},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2016.7523061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2016.7523061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"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":28,"referenced_works":["https://openalex.org/W35525326","https://openalex.org/W41771974","https://openalex.org/W155524655","https://openalex.org/W1530063250","https://openalex.org/W1815337875","https://openalex.org/W1962010357","https://openalex.org/W1964675004","https://openalex.org/W1996644000","https://openalex.org/W1997979135","https://openalex.org/W2001346643","https://openalex.org/W2036885187","https://openalex.org/W2047482624","https://openalex.org/W2052519240","https://openalex.org/W2057578604","https://openalex.org/W2104095591","https://openalex.org/W2122787031","https://openalex.org/W2135269154","https://openalex.org/W2137186887","https://openalex.org/W2143581454","https://openalex.org/W2145314569","https://openalex.org/W2180194522","https://openalex.org/W2605472227","https://openalex.org/W2998023265","https://openalex.org/W6606275238","https://openalex.org/W6640974819","https://openalex.org/W6675770446","https://openalex.org/W6685965229","https://openalex.org/W6772576394"],"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/W2020757356","https://openalex.org/W2041497154","https://openalex.org/W2983114262"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,30,84,90,120],"gliomas":[2],"in":[3],"magnetic":[4],"resonance":[5],"imaging":[6],"(MRI)":[7],"images":[8,38,122,128],"is":[9,33,69,93],"a":[10,96,118],"crucial":[11],"task":[12],"for":[13,23],"early":[14],"tumor":[15,25,45,74,103],"diagnosis":[16],"and":[17,42,125],"surgical":[18],"planning.":[19],"Although":[20],"many":[21],"methods":[22],"brain":[24,54,99],"segmentation":[26,104],"exist,":[27],"the":[28,43,52,57,73,76,108,114],"improvement":[29],"this":[31,91],"process":[32],"still":[34],"difficult.":[35],"Indeed,":[36],"MRI":[37,98],"show":[39],"complex":[40],"characteristics":[41],"different":[44],"tissues":[46],"are":[47],"difficult":[48,70],"to":[49,71,94,140],"distinguish":[50],"from":[51,75,130],"normal":[53],"tissues;":[55],"especially":[56],"low-grade":[58,133],"glioma":[59],"(LGG),":[60],"distinguished":[61],"by":[62],"their":[63],"infiltrating":[64],"character.":[65],"In":[66],"fact,":[67],"it":[68],"extract":[72],"surrounding":[77],"healthy":[78],"parenchyma":[79],"tissue":[80],"without":[81],"any":[82],"risk":[83],"neurological":[85],"functional":[86],"sequelae.":[87],"The":[88,135],"purpose":[89],"paper":[92],"provide":[95],"new":[97],"low":[100],"grade":[101],"glioblastomas":[102],"method":[105,116],"based":[106],"on":[107,117],"local":[109],"phase":[110],"information.":[111],"We":[112],"applied":[113],"proposed":[115],"set":[119],"selected":[121],"(Flair,":[123],"T1":[124],"T1c).":[126],"Those":[127],"were":[129],"patients":[131],"with":[132],"glioma.":[134],"preliminary":[136],"results":[137],"obtained":[138],"seem":[139],"be":[141],"interesting.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}