{"id":"https://openalex.org/W4213350476","doi":"https://doi.org/10.1080/08839514.2022.2031824","title":"Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset","display_name":"Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset","publication_year":2022,"publication_date":"2022-02-13","ids":{"openalex":"https://openalex.org/W4213350476","doi":"https://doi.org/10.1080/08839514.2022.2031824"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2022.2031824","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2031824","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2031824?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2031824?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054044034","display_name":"Syed Ali Nawaz","orcid":"https://orcid.org/0000-0002-7702-7207"},"institutions":[{"id":"https://openalex.org/I174731842","display_name":"Islamia University of Bahawalpur","ror":"https://ror.org/002rc4w13","country_code":"PK","type":"education","lineage":["https://openalex.org/I174731842"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Syed Ali Nawaz","raw_affiliation_strings":["Department of Information Technology, The Islamia University of Bahawalpur (Iub), Bahawalpur, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, The Islamia University of Bahawalpur (Iub), Bahawalpur, Pakistan","institution_ids":["https://openalex.org/I174731842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034714129","display_name":"Dost Muhammad Khan","orcid":"https://orcid.org/0000-0001-9303-651X"},"institutions":[{"id":"https://openalex.org/I174731842","display_name":"Islamia University of Bahawalpur","ror":"https://ror.org/002rc4w13","country_code":"PK","type":"education","lineage":["https://openalex.org/I174731842"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Dost Muhammad Khan","raw_affiliation_strings":["Department of Information Technology, The Islamia University of Bahawalpur (Iub), Bahawalpur, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, The Islamia University of Bahawalpur (Iub), Bahawalpur, Pakistan","institution_ids":["https://openalex.org/I174731842"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057663036","display_name":"Salman Qadri","orcid":"https://orcid.org/0000-0002-3503-6535"},"institutions":[{"id":"https://openalex.org/I4210096473","display_name":"Muhammad Nawaz Shareef University of Agriculture","ror":"https://ror.org/00vmr6593","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210096473"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Salman Qadri","raw_affiliation_strings":["Department of Computer Science, Muhammad Nawaz Sharif University of Agriculture Multan (Mns-uam), Multan, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-3503-6535","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Muhammad Nawaz Sharif University of Agriculture Multan (Mns-uam), Multan, Pakistan","institution_ids":["https://openalex.org/I4210096473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057663036"],"corresponding_institution_ids":["https://openalex.org/I4210096473"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":5.754,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.96851937,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8066796064376831},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.6692848205566406},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6279663443565369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5860602259635925},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5806996822357178},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.5065599679946899},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.4948822855949402},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49361908435821533},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45761197805404663},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4298778474330902},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39940711855888367},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2638034224510193},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.23917454481124878},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18753531575202942},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17067977786064148},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.15316754579544067},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.15037977695465088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8066796064376831},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.6692848205566406},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6279663443565369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860602259635925},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5806996822357178},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.5065599679946899},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.4948822855949402},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49361908435821533},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45761197805404663},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4298778474330902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39940711855888367},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2638034224510193},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.23917454481124878},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18753531575202942},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17067977786064148},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.15316754579544067},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.15037977695465088},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","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":2,"locations":[{"id":"doi:10.1080/08839514.2022.2031824","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2031824","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2031824?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e1010ed891b4c74922592e2e7bef24c","is_oa":false,"landing_page_url":"https://doaj.org/article/2e1010ed891b4c74922592e2e7bef24c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 36, Iss 1 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2022.2031824","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2022.2031824","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2031824?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W427810109","https://openalex.org/W1570448133","https://openalex.org/W1967551258","https://openalex.org/W2004023255","https://openalex.org/W2044465660","https://openalex.org/W2050066649","https://openalex.org/W2083870150","https://openalex.org/W2084405042","https://openalex.org/W2098413901","https://openalex.org/W2100669081","https://openalex.org/W2111272541","https://openalex.org/W2114416030","https://openalex.org/W2116531017","https://openalex.org/W2167101736","https://openalex.org/W2310992461","https://openalex.org/W2341148340","https://openalex.org/W2364795989","https://openalex.org/W2366536035","https://openalex.org/W2404695164","https://openalex.org/W2562184213","https://openalex.org/W2562821590","https://openalex.org/W2744130673","https://openalex.org/W2764022476","https://openalex.org/W2780099243","https://openalex.org/W2788508510","https://openalex.org/W2795340517","https://openalex.org/W2889577561","https://openalex.org/W2896613673","https://openalex.org/W2906853770","https://openalex.org/W2921418438","https://openalex.org/W2921483513","https://openalex.org/W2921554059","https://openalex.org/W2931144334","https://openalex.org/W2943222868","https://openalex.org/W2951078288","https://openalex.org/W2995061562","https://openalex.org/W2995637206","https://openalex.org/W3003200098","https://openalex.org/W3021393748","https://openalex.org/W3024167344","https://openalex.org/W3036182153","https://openalex.org/W3037425369","https://openalex.org/W3113026834","https://openalex.org/W3128646645","https://openalex.org/W3147142721","https://openalex.org/W4231295697","https://openalex.org/W4240144763","https://openalex.org/W4242620485","https://openalex.org/W4247765127","https://openalex.org/W4254892724","https://openalex.org/W4312698677","https://openalex.org/W4386080182"],"related_works":["https://openalex.org/W4210628983","https://openalex.org/W2498057147","https://openalex.org/W4289526344","https://openalex.org/W2625756773","https://openalex.org/W2995276271","https://openalex.org/W4309344247","https://openalex.org/W4288057561","https://openalex.org/W3004326008","https://openalex.org/W2964383635","https://openalex.org/W2173628450"],"abstract_inverted_index":{"Brain":[0],"tumors":[1],"are":[2],"deadly":[3],"but":[4],"become":[5],"deadliest":[6],"because":[7],"of":[8,68,89,130,182],"delayed":[9],"and":[10,63,74,86,122,140,154,163,180,192],"inefficient":[11],"diagnosis":[12,27,93],"process.":[13,94],"Large":[14],"variations":[15],"in":[16],"tumor":[17,26,39,92,110,168],"types":[18],"also":[19],"instigate":[20],"additional":[21],"complexity.":[22],"Machine":[23],"vision":[24,45],"brain":[25,38,48,77,91,96,167],"addresses":[28],"the":[29,66,83,90,102,109,113,128,133,143,173,183],"problem.":[30],"This":[31],"research\u2019s":[32],"objective":[33],"was":[34,61,99,176],"to":[35,101,107,142,158],"develop":[36],"a":[37,56,190],"classification":[40,67,169,194],"model":[41],"based":[42],"on":[43],"machine":[44],"techniques":[46],"using":[47],"Magnetic":[49],"Resonance":[50],"Imaging":[51],"(MRI).":[52],"For":[53],"this":[54],"purpose,":[55],"novel":[57,191],"hybrid-brain-tumor-classification":[58],"(HBTC)":[59],"framework":[60,81,175,185],"designed":[62],"evaluated":[64],"for":[65],"cystic":[69],"(cyst),":[70],"glioma,":[71,161],"meningioma":[72],"(menin),":[73],"metastatic":[75],"(meta)":[76],"tumors.":[78,165],"The":[79,95,178],"proposed":[80,184],"lessens":[82],"inherent":[84],"complexities":[85],"boosts":[87],"performance":[88,170,181],"MRI":[97],"dataset":[98,115],"input":[100,141],"HBTC":[103,174],"framework,":[104],"pre-processed,":[105],"segmented":[106,114],"localize":[108],"region.":[111],"From":[112],"Co-occurrence":[116],"matrix":[117,120],"(COM),":[118],"run-length":[119],"(RLM),":[121],"gradient":[123],"features":[124,137],"were":[125,138],"extracted.":[126],"After":[127],"application":[129],"hybrid":[131],"multi-features,":[132],"nine":[134],"most":[135],"optimized":[136],"selected":[139],"framework\u2019s":[144],"classifiers,":[145],"namely":[146],"multilayer":[147],"perception":[148],"(MLP),":[149],"J48,":[150],"meta":[151,164],"bagging":[152],"(MB),":[153],"random":[155],"tree":[156],"(RT)":[157],"classify":[159],"cyst,":[160],"menin,":[162],"Maximum":[166],"achieved":[171],"by":[172],"98.8%.":[177],"components":[179],"show":[186],"that":[187],"it":[188],"is":[189],"robust":[193],"framework.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":8}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}