{"id":"https://openalex.org/W4406892658","doi":"https://doi.org/10.1109/fllm63129.2024.10852441","title":"Brain tumor extraction method using KNN algorithm by the K parameter variation","display_name":"Brain tumor extraction method using KNN algorithm by the K parameter variation","publication_year":2024,"publication_date":"2024-11-26","ids":{"openalex":"https://openalex.org/W4406892658","doi":"https://doi.org/10.1109/fllm63129.2024.10852441"},"language":"en","primary_location":{"id":"doi:10.1109/fllm63129.2024.10852441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm63129.2024.10852441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Foundation and Large Language Models (FLLM)","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/A5073923263","display_name":"Bara Samir","orcid":"https://orcid.org/0000-0002-4976-6635"},"institutions":[{"id":"https://openalex.org/I4210119856","display_name":"Universit\u00e9 Sultan Moulay Slimane","ror":"https://ror.org/02m8tb249","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210119856"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Bara Samir","raw_affiliation_strings":["Sultan Moulay Slimane High School of Technology,Khenifra,Morocco"],"affiliations":[{"raw_affiliation_string":"Sultan Moulay Slimane High School of Technology,Khenifra,Morocco","institution_ids":["https://openalex.org/I4210119856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116057092","display_name":"Sara Sennouni","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Sara Sennouni","raw_affiliation_strings":["Mohammed V University,Rabat IT Center, LRIT, Faculty of Sciences,Rabat,Morocco"],"affiliations":[{"raw_affiliation_string":"Mohammed V University,Rabat IT Center, LRIT, Faculty of Sciences,Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012337800","display_name":"Jibouni Ayoub","orcid":"https://orcid.org/0000-0001-9886-4576"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Jibouni Ayoub","raw_affiliation_strings":["Mohammed V University,Rabat IT Center, LRIT, Faculty of Sciences,Rabat,Morocco"],"affiliations":[{"raw_affiliation_string":"Mohammed V University,Rabat IT Center, LRIT, Faculty of Sciences,Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047221638","display_name":"Ahmed Hammouch","orcid":"https://orcid.org/0009-0005-8691-6662"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hammouch Ahmed","raw_affiliation_strings":["Mohammed V University,ENSAM Rabat,Rabat,Morocco"],"affiliations":[{"raw_affiliation_string":"Mohammed V University,ENSAM Rabat,Rabat,Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073923263"],"corresponding_institution_ids":["https://openalex.org/I4210119856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30591842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9686999917030334,"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":0.9686999917030334,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6561975479125977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5478690266609192},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5160917639732361},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44186609983444214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44053319096565247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35288292169570923},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1379542350769043},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09747231006622314},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07258793711662292}],"concepts":[{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6561975479125977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5478690266609192},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5160917639732361},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44186609983444214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44053319096565247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35288292169570923},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1379542350769043},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09747231006622314},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07258793711662292},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fllm63129.2024.10852441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm63129.2024.10852441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Foundation and Large Language Models (FLLM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1481727862","https://openalex.org/W1504175076","https://openalex.org/W1995491943","https://openalex.org/W1995642009","https://openalex.org/W2007656148","https://openalex.org/W2016967485","https://openalex.org/W2057318393","https://openalex.org/W2077465395","https://openalex.org/W2098056602","https://openalex.org/W2123402141","https://openalex.org/W2132358780","https://openalex.org/W2133467637","https://openalex.org/W2150654863","https://openalex.org/W2159481670","https://openalex.org/W2171890357"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W2051487156","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809"],"abstract_inverted_index":{"Early":[0],"tumor":[1,72,89,139],"detection,":[2],"especially":[3],"of":[4,11,25,40,58,110,121,135,165,189],"brain":[5,71,125],"tumors":[6,18,29],"is":[7,48,123],"a":[8,26,69,114],"paramount":[9],"recommendation":[10],"the":[12,21,23,31,54,79,96,103,108,111,124,128,133,136,146,152,160,163,166,171,181,186,190,194],"world":[13],"health":[14],"organization,":[15],"The":[16,38,118],"earlier":[17],"are":[19,143],"detected,":[20],"higher":[22],"chances":[24],"cure.":[27],"Detecting":[28],"at":[30,174],"first":[32,115],"stage":[33],"significantly":[34],"increases":[35],"these":[36],"chances.":[37],"number":[39],"MRI":[41,59,97],"images":[42,60],"to":[43,95,106,131,151,170,184],"be":[44],"processed":[45],"every":[46],"day":[47],"immense":[49],"and":[50,62,74,86,91,100,141,156,193],"very":[51],"huge,":[52],"requiring":[53],"automation":[55],"this":[56,65],"step":[57,120],"processing":[61],"analysis.":[63],"In":[64],"article":[66],"we":[67,93,157,179],"propose":[68],"new":[70],"detection":[73,90,140],"extraction":[75,126,142],"method":[76,130,164],"based":[77],"on":[78,159],"KNN":[80,147],"algorithm":[81],"known":[82],"for":[83],"its":[84],"efficiency":[85],"precision.":[87],"Before":[88],"extraction,":[92],"proceed":[94,150],"image":[98],"filtration":[99],"denoising":[101],"by":[102,127,145],"Nl-means":[104],"filter":[105],"improve":[107],"accuracy":[109],"results":[112,137],"as":[113],"pretreatment":[116],"step.":[117],"second":[119],"preprocessing":[122],"EMBE":[129],"reduce":[132],"overlapping":[134],"thresholds.The":[138],"obtained":[144],"algorithm.":[148],"We":[149],"\"K\"":[153,191],"parameter":[154,192],"variation,":[155],"fix":[158],"other":[161],"hand":[162],"distance":[167],"calculation":[168],"\"d\"":[169,195],"Hamming":[172],"distance.":[173,196],"each":[175],"combination":[176,188],"(K,":[177],"d)":[178],"check":[180],"error":[182],"rate":[183],"choose":[185],"right":[187]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}