{"id":"https://openalex.org/W4214491073","doi":"https://doi.org/10.3390/s22051766","title":"Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age","display_name":"Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age","publication_year":2022,"publication_date":"2022-02-24","ids":{"openalex":"https://openalex.org/W4214491073","doi":"https://doi.org/10.3390/s22051766","pmid":"https://pubmed.ncbi.nlm.nih.gov/35270913"},"language":"en","primary_location":{"id":"doi:10.3390/s22051766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051766","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1766/pdf?version=1645693867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/5/1766/pdf?version=1645693867","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013138220","display_name":"Imayanmosha Wahlang","orcid":"https://orcid.org/0000-0001-5493-8393"},"institutions":[{"id":"https://openalex.org/I197465736","display_name":"North Eastern Hill University","ror":"https://ror.org/055m2tx54","country_code":"IN","type":"education","lineage":["https://openalex.org/I197465736"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Imayanmosha Wahlang","raw_affiliation_strings":["Department of Information Technology, North-Eastern Hill University, Shillong 793022, India"],"raw_orcid":"https://orcid.org/0000-0001-5493-8393","affiliations":[{"raw_affiliation_string":"Department of Information Technology, North-Eastern Hill University, Shillong 793022, India","institution_ids":["https://openalex.org/I197465736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011253178","display_name":"Arnab Kumar Maji","orcid":"https://orcid.org/0000-0002-3320-9965"},"institutions":[{"id":"https://openalex.org/I197465736","display_name":"North Eastern Hill University","ror":"https://ror.org/055m2tx54","country_code":"IN","type":"education","lineage":["https://openalex.org/I197465736"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arnab Kumar Maji","raw_affiliation_strings":["Department of Information Technology, North-Eastern Hill University, Shillong 793022, India"],"raw_orcid":"https://orcid.org/0000-0002-3320-9965","affiliations":[{"raw_affiliation_string":"Department of Information Technology, North-Eastern Hill University, Shillong 793022, India","institution_ids":["https://openalex.org/I197465736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041660325","display_name":"Goutam Saha","orcid":"https://orcid.org/0000-0003-0679-5855"},"institutions":[{"id":"https://openalex.org/I197465736","display_name":"North Eastern Hill University","ror":"https://ror.org/055m2tx54","country_code":"IN","type":"education","lineage":["https://openalex.org/I197465736"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Goutam Saha","raw_affiliation_strings":["Department of Information Technology, North-Eastern Hill University, Shillong 793022, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, North-Eastern Hill University, Shillong 793022, India","institution_ids":["https://openalex.org/I197465736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089771051","display_name":"Pr\u0105sun Chakrabarti","orcid":"https://orcid.org/0000-0001-8062-4144"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prasun Chakrabarti","raw_affiliation_strings":["Techno India NJR Institute of Technology, Udaipur 313003, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Techno India NJR Institute of Technology, Udaipur 313003, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052139542","display_name":"Micha\u0142 Jasi\u0144ski","orcid":"https://orcid.org/0000-0002-0983-2562"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Michal Jasinski","raw_affiliation_strings":["Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-0983-2562","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078103272","display_name":"Zbigniew Leonowicz","orcid":"https://orcid.org/0000-0002-2388-3710"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Zbigniew Leonowicz","raw_affiliation_strings":["Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-2388-3710","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066964559","display_name":"El\u017cbieta Jasi\u0144ska","orcid":"https://orcid.org/0000-0003-2433-3873"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Elzbieta Jasinska","raw_affiliation_strings":["Department of Operations Research and Business Intelligence, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-2433-3873","affiliations":[{"raw_affiliation_string":"Department of Operations Research and Business Intelligence, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5011253178","https://openalex.org/A5052139542"],"corresponding_institution_ids":["https://openalex.org/I11923345","https://openalex.org/I197465736","https://openalex.org/I686019"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":5.5036,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.96567018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"22","issue":"5","first_page":"1766","last_page":"1766"},"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":0.9980000257492065,"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":0.9958000183105469,"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/support-vector-machine","display_name":"Support vector machine","score":0.8622667789459229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.805931568145752},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.801978349685669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420042157173157},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6709431409835815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.661988377571106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5026199817657471},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49244317412376404},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4803394079208374},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4735671281814575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21487298607826233},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.056484490633010864},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.04962199926376343}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8622667789459229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.805931568145752},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.801978349685669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420042157173157},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6709431409835815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.661988377571106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5026199817657471},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49244317412376404},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4803394079208374},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4735671281814575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21487298607826233},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.056484490633010864},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.04962199926376343}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22051766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051766","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1766/pdf?version=1645693867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35270913","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35270913","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:256c12dc09964a55b3ec16e96e639365","is_oa":true,"landing_page_url":"https://doaj.org/article/256c12dc09964a55b3ec16e96e639365","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 5, p 1766 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/5/1766/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22051766","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 5; Pages: 1766","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8914787","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8914787","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22051766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051766","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1766/pdf?version=1645693867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214491073.pdf","grobid_xml":"https://content.openalex.org/works/W4214491073.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1686810756","https://openalex.org/W1967526316","https://openalex.org/W1976441578","https://openalex.org/W2025839511","https://openalex.org/W2038005290","https://openalex.org/W2063552084","https://openalex.org/W2140100839","https://openalex.org/W2163605009","https://openalex.org/W2301358467","https://openalex.org/W2310992461","https://openalex.org/W2487656290","https://openalex.org/W2546974623","https://openalex.org/W2559882404","https://openalex.org/W2606140507","https://openalex.org/W2611506574","https://openalex.org/W2617669016","https://openalex.org/W2780099243","https://openalex.org/W2916845318","https://openalex.org/W2919115771","https://openalex.org/W2920642893","https://openalex.org/W2921384086","https://openalex.org/W2921958053","https://openalex.org/W2940977206","https://openalex.org/W2963446712","https://openalex.org/W2981568112","https://openalex.org/W2998623084","https://openalex.org/W3009718233","https://openalex.org/W3011430986","https://openalex.org/W3034465545","https://openalex.org/W3034534555","https://openalex.org/W3084741591","https://openalex.org/W3208500346","https://openalex.org/W4248982192","https://openalex.org/W4251549598","https://openalex.org/W6629393930","https://openalex.org/W6684191040","https://openalex.org/W7036735966"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W2770149305","https://openalex.org/W2795259429"],"abstract_inverted_index":{"Usage":[0],"of":[1,15,25,186],"effective":[2,92],"classification":[3,24],"techniques":[4],"on":[5,22],"Magnetic":[6],"Resonance":[7],"Imaging":[8],"(MRI)":[9],"helps":[10],"in":[11,133,142,152],"the":[12,23,116,155],"proper":[13],"diagnosis":[14],"brain":[16,31,53,143],"tumors.":[17],"Previous":[18],"studies":[19],"have":[20],"focused":[21],"normal":[26,57],"(nontumorous)":[27],"or":[28,58],"abnormal":[29],"(tumorous)":[30],"MRIs":[32],"using":[33],"methods":[34],"such":[35,98,106],"as":[36,65,99,107],"Support":[37],"Vector":[38],"Machine":[39],"(SVM)":[40],"and":[41,61,71,82,103,114,119,128,135,162,173,180,190],"AlexNet.":[42,163],"In":[43],"this":[44],"paper,":[45],"deep":[46,75,95],"learning":[47,76,96],"architectures":[48,97],"are":[49,63,88,109,122],"used":[50],"to":[51,112,124,177],"classify":[52],"MRI":[54],"images":[55],"into":[56],"abnormal.":[59],"Gender":[60],"age":[62],"added":[64],"higher":[66],"attributes":[67],"for":[68,91],"more":[69,126],"accurate":[70],"meaningful":[72],"classification.":[73,93],"A":[74],"Convolutional":[77],"Neural":[78,85],"Network":[79,86],"(CNN)-based":[80],"technique":[81,157],"a":[83,130],"Deep":[84],"(DNN)":[87],"also":[89,110,148],"proposed":[90,156],"Other":[94],"LeNet,":[100],"AlexNet,":[101],"ResNet,":[102],"traditional":[104],"approaches":[105],"SVM":[108,161,178],"implemented":[111],"analyze":[113],"compare":[115],"results.":[117],"Age":[118],"gender":[120],"biases":[121],"found":[123],"be":[125,138],"useful":[127],"play":[129],"key":[131],"role":[132],"classification,":[134],"they":[136],"can":[137],"considered":[139],"essential":[140],"factors":[141],"tumor":[144],"analysis.":[145],"It":[146],"is":[147,168],"worth":[149],"noting":[150],"that,":[151],"most":[153],"circumstances,":[154],"outperforms":[158],"both":[159],"existing":[160],"The":[164],"overall":[165],"accuracy":[166,185],"obtained":[167],"88%":[169],"(LeNet":[170],"Inspired":[171],"Model)":[172],"80%":[174],"(CNN-DNN)":[175],"compared":[176],"(82%)":[179],"AlexNet":[181],"(64%),":[182],"with":[183],"best":[184],"100%,":[187],"92%,":[188,189],"81%,":[191],"respectively.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":7}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}