{"id":"https://openalex.org/W4214701159","doi":"https://doi.org/10.1109/access.2022.3153306","title":"Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images","display_name":"Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214701159","doi":"https://doi.org/10.1109/access.2022.3153306"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3153306","doi":"https://doi.org/10.1109/access.2022.3153306","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3153306","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09718269.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09718269.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033930153","display_name":"Sohaib Asif","orcid":"https://orcid.org/0000-0003-0707-470X","observed_orcids":["https://orcid.org/0000-0003-0707-470X"]},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sohaib Asif","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, School of Electronic Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Computer Science and Engineering, Central South University, Changsha, China","an Jiaotong University, Xi&#x2019","an, China"],"raw_orcid":"https://orcid.org/0000-0003-0707-470X","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, School of Electronic Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"an Jiaotong University, Xi&#x2019","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062216980","display_name":"Wenhui Yi","orcid":"https://orcid.org/0000-0002-4044-0444","observed_orcids":["https://orcid.org/0000-0002-4044-0444"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Yi","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, School of Electronic Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","an Jiaotong University, Xi&#x2019","an, China"],"raw_orcid":"https://orcid.org/0000-0002-4044-0444","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, School of Electronic Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an Jiaotong University, Xi&#x2019","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066206675","display_name":"Qurrat Ul Ain","orcid":"https://orcid.org/0009-0004-6503-9448","observed_orcids":["https://orcid.org/0009-0004-6503-9448"]},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qurrat Ul Ain","raw_affiliation_strings":["School of Public Health, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549072","display_name":"Jin Hou","orcid":"https://orcid.org/0000-0003-2648-7366","observed_orcids":["https://orcid.org/0000-0003-2648-7366"]},"institutions":[{"id":"https://openalex.org/I4210107780","display_name":"Xi'an Medical University","ror":"https://ror.org/01fmc2233","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Hou","raw_affiliation_strings":["Department of Pharmacology, School of Basic Medical Sciences, Xi&#x2019;an Medical University, Xi&#x2019;an, China","an Medical University, Xi&#x2019","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacology, School of Basic Medical Sciences, Xi&#x2019;an Medical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210107780"]},{"raw_affiliation_string":"an Medical University, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101541473","display_name":"Yi Tao","orcid":"https://orcid.org/0009-0003-0855-1931","observed_orcids":["https://orcid.org/0009-0003-0855-1931","https://orcid.org/0000-0001-5332-2271"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yi","raw_affiliation_strings":["School of Computer Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","an Jiaotong University, Xi&#x2019","an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an Jiaotong University, Xi&#x2019","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064903550","display_name":"Jinhai Si","orcid":"https://orcid.org/0000-0002-4680-2717","observed_orcids":["https://orcid.org/0000-0002-4680-2717"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Si","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, School of Electronic Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","an Jiaotong University, Xi&#x2019","an, China"],"raw_orcid":"https://orcid.org/0000-0002-4680-2717","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, School of Electronic Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an Jiaotong University, Xi&#x2019","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":14.4568,"has_fulltext":true,"cited_by_count":228,"citation_normalized_percentile":{"value":0.99530731,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"34716","last_page":"34730"},"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/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/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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/T10862","display_name":"AI in cancer detection","score":9.999999747378752e-05,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brain-tumor-classification","display_name":"brain tumor classification","score":0.9929999709129333},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"magnetic resonance imaging","score":0.8960000276565552},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9350000023841858},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8859999775886536},{"id":"https://openalex.org/keywords/xception","display_name":"Xception","score":0.972000002861023},{"id":"https://openalex.org/keywords/densenet-121","display_name":"DenseNet121","score":0.847000002861023},{"id":"https://openalex.org/keywords/inceptionresnetv2","display_name":"InceptionResNetV2","score":0.9850000143051147},{"id":"https://openalex.org/keywords/nasnet","display_name":"NASNet","score":0.7279999852180481},{"id":"https://openalex.org/keywords/optimization-algorithm-comparison","display_name":"optimizer comparison","score":0.5820000171661377},{"id":"https://openalex.org/keywords/adam-optimizer","display_name":"Adam optimizer","score":0.7210000157356262},{"id":"https://openalex.org/keywords/medical-image-diagnosis","display_name":"medical image diagnosis","score":0.7519999742507935},{"id":"https://openalex.org/keywords/image-data-augmentation","display_name":"image augmentation","score":0.4480000138282776}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8298271894454956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.808556318283081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7698861360549927},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7588469982147217},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6651623249053955},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5398774147033691},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46688926219940186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4466547667980194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4393843710422516},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.42727744579315186},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.42664092779159546},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.14727899432182312},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13424256443977356},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3153306","doi":"https://doi.org/10.1109/access.2022.3153306","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3153306","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09718269.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:46581dd86e1d4b5baabeeffdf6ce101a","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/46581dd86e1d4b5baabeeffdf6ce101a","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,"listed_in":[],"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":"IEEE Access, Vol 10, Pp 34716-34730 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3153306","doi":"https://doi.org/10.1109/access.2022.3153306","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3153306","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09718269.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1645564970","display_name":null,"funder_award_id":"2019YFA0706400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1680468013","display_name":null,"funder_award_id":"2016GJF01","funder_id":"https://openalex.org/F4320329797","funder_display_name":"Xi'an Medical University"},{"id":"https://openalex.org/G2053152582","display_name":null,"funder_award_id":"2019YFA0706402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2897276736","display_name":null,"funder_award_id":"61275179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3637469558","display_name":null,"funder_award_id":"2019YFA0706402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4242053025","display_name":null,"funder_award_id":"60970815","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4341674634","display_name":null,"funder_award_id":"2016JM8047","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G5565127229","display_name":null,"funder_award_id":"15-ZY036","funder_id":"https://openalex.org/F4320316308","funder_display_name":"Shaanxi Administration of Traditional Chinese Medicine"},{"id":"https://openalex.org/G8720710315","display_name":null,"funder_award_id":"xjj2015112","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320316308","display_name":"Shaanxi Administration of Traditional Chinese Medicine","ror":"https://ror.org/027hagy81"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329797","display_name":"Xi'an Medical University","ror":"https://ror.org/01fmc2233"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214701159.pdf","grobid_xml":"https://content.openalex.org/works/W4214701159.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2182098131","https://openalex.org/W2366536035","https://openalex.org/W2531409750","https://openalex.org/W2596470483","https://openalex.org/W2764024122","https://openalex.org/W2765490497","https://openalex.org/W2765674635","https://openalex.org/W2773164951","https://openalex.org/W2779494124","https://openalex.org/W2780099243","https://openalex.org/W2782833026","https://openalex.org/W2782920681","https://openalex.org/W2810138651","https://openalex.org/W2905017682","https://openalex.org/W2906302663","https://openalex.org/W2908888534","https://openalex.org/W2945839551","https://openalex.org/W2955714720","https://openalex.org/W2955805844","https://openalex.org/W2963356165","https://openalex.org/W2963446712","https://openalex.org/W2964350391","https://openalex.org/W2972838422","https://openalex.org/W2983509244","https://openalex.org/W2989381536","https://openalex.org/W2990040069","https://openalex.org/W2995003683","https://openalex.org/W3002769598","https://openalex.org/W3011430986","https://openalex.org/W3014047622","https://openalex.org/W3030381113","https://openalex.org/W3040617750","https://openalex.org/W3048957408","https://openalex.org/W3087421454","https://openalex.org/W3087969957","https://openalex.org/W3091484480","https://openalex.org/W3095142972","https://openalex.org/W3120503521","https://openalex.org/W3121092655","https://openalex.org/W3127167602","https://openalex.org/W3136979370"],"related_works":["https://openalex.org/W4383747478","https://openalex.org/W3137461981","https://openalex.org/W4410810283","https://openalex.org/W4285282718","https://openalex.org/W4378071614","https://openalex.org/W4388271435","https://openalex.org/W4385448730","https://openalex.org/W4407037748","https://openalex.org/W7130954101","https://openalex.org/W4385574752"],"abstract_inverted_index":{"Early":[0],"classification":[1],"of":[2,17,41,48,55,63,180,233],"brain":[3,85,101,124,166,276],"tumors":[4,29,86],"from":[5,123,138,142],"magnetic":[6],"resonance":[7],"imaging":[8,24],"(MRI)":[9],"plays":[10],"an":[11],"important":[12],"role":[13],"in":[14,30,52],"the":[15,31,53,92,120,139,143,181,199,208,217,241,252,262],"diagnosis":[16],"such":[18,38,108,190],"diseases.":[19],"There":[20],"are":[21,97,116,135,160],"many":[22],"diagnostic":[23,103],"methods":[25,62],"used":[26,36,117,270],"to":[27,71,99,118,261,271],"identify":[28],"brain.":[32],"MRI":[33,167],"is":[34,185,214,259],"commonly":[35],"for":[37,83,151],"tasks":[39],"because":[40],"its":[42],"unmatched":[43],"image":[44,66],"quality.":[45],"The":[46,105,126,178,222,256],"relevance":[47],"artificial":[49],"intelligence":[50],"(AI)":[51],"form":[54],"deep":[56,94,121],"learning":[57,81,95,158,183],"(DL)":[58],"has":[59],"revolutionized":[60],"new":[61],"automated":[64],"medical":[65],"diagnosis.":[67],"This":[68],"study":[69],"aimed":[70],"develop":[72,100],"a":[73,165],"robust":[74],"and":[75,114,149,153,162,176,196,230,238,244,249,273],"efficient":[76],"method":[77,258],"based":[78,206],"on":[79,164,207,240,251],"transfer":[80,157,182],"technique":[82],"classifying":[84],"using":[87,130,169,187,211],"MRI.":[88,125],"In":[89],"this":[90],"article,":[91],"popular":[93],"architectures":[96],"utilized":[98],"tumor":[102],"system.":[104],"pre-trained":[106],"models":[107,159,184],"as":[109,191],"Xception,":[110],"NasNet":[111],"Large,":[112],"DenseNet121":[113],"InceptionResNetV2":[115],"extract":[119],"features":[122],"experiment":[127],"was":[128],"performed":[129],"two":[131],"benchmark":[132],"datasets":[133],"that":[134,266],"openly":[136],"accessible":[137],"web.":[140],"Images":[141],"dataset":[144,168],"were":[145],"first":[146],"cropped,":[147],"preprocessed,":[148],"augmented":[150],"accurate":[152],"fast":[154],"training.":[155],"Deep":[156],"trained":[161],"tested":[163],"three":[170,219],"different":[171],"optimization":[172],"algorithms":[173],"(ADAM,":[174],"SGD,":[175],"RMSprop).":[177],"performance":[179,188],"evaluated":[186],"metrics":[189],"accuracy,":[192,226],"sensitivity,":[193,227],"precision,":[194],"specificity":[195],"F1-score.":[197],"From":[198],"experimental":[200],"results,":[201],"our":[202],"proposed":[203,220,257],"CNN":[204],"model":[205,224],"Xception":[209,223],"architecture":[210],"ADAM":[212],"optimizer":[213],"better":[215],"than":[216],"other":[218],"models.":[221],"achieved":[225],"precision":[228],"specificity,":[229],"F1-score":[231],"values":[232],"99.67%,":[234],"99.68%,":[235,236],"99.66%,":[237],"99.68%":[239],"MRI-large":[242],"dataset,":[243,254],"91.94%,":[245],"96.55%,":[246],"87.50%,":[247],"87.88%,":[248],"91.80%":[250],"MRI-small":[253],"respectively.":[255],"superior":[260],"existing":[263],"literature,":[264],"indicating":[265],"it":[267],"can":[268],"be":[269],"quickly":[272],"accurately":[274],"classify":[275],"tumors.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":27},{"year":2025,"cited_by_count":74},{"year":2024,"cited_by_count":60},{"year":2023,"cited_by_count":59},{"year":2022,"cited_by_count":8}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-03-02T00:00:00"}
