{"id":"https://openalex.org/W4407638423","doi":"https://doi.org/10.1109/access.2025.3542451","title":"Transformative Transfer Learning for MRI Brain Tumor Precision: Innovative Insights","display_name":"Transformative Transfer Learning for MRI Brain Tumor Precision: Innovative Insights","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407638423","doi":"https://doi.org/10.1109/access.2025.3542451"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3542451","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3542451","pdf_url":null,"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,"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"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3542451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031916377","display_name":"Raja Waseem Anwar","orcid":"https://orcid.org/0000-0002-5118-7739"},"institutions":[{"id":"https://openalex.org/I39706905","display_name":"German University of Technology","ror":"https://ror.org/055hq4920","country_code":"OM","type":"education","lineage":["https://openalex.org/I39706905"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Raja Waseem Anwar","raw_affiliation_strings":["Department of Computer Science, German University of Technology in Oman, Muscat, Oman","Department of Computer Science, German University of Technology in Oman, P.O.Box: 1816, Muscat, Oman"],"raw_orcid":"https://orcid.org/0000-0002-5118-7739","affiliations":[{"raw_affiliation_string":"Department of Computer Science, German University of Technology in Oman, Muscat, Oman","institution_ids":["https://openalex.org/I39706905"]},{"raw_affiliation_string":"Department of Computer Science, German University of Technology in Oman, P.O.Box: 1816, Muscat, Oman","institution_ids":["https://openalex.org/I39706905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101430661","display_name":"Mohammad Abrar","orcid":"https://orcid.org/0000-0003-2585-0573"},"institutions":[{"id":"https://openalex.org/I124391630","display_name":"Arab Open University","ror":"https://ror.org/04dqhen73","country_code":"OM","type":"education","lineage":["https://openalex.org/I124391630","https://openalex.org/I4210093932"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Mohammad Abrar","raw_affiliation_strings":["Faculty of Computer Studies, Arab Open University, Muscat, Oman","Faculty of Computer Studies, Arab Open University, P.O. Box 1596, Muscat, Oman"],"raw_orcid":"https://orcid.org/0000-0003-2585-0573","affiliations":[{"raw_affiliation_string":"Faculty of Computer Studies, Arab Open University, Muscat, Oman","institution_ids":["https://openalex.org/I124391630"]},{"raw_affiliation_string":"Faculty of Computer Studies, Arab Open University, P.O. Box 1596, Muscat, Oman","institution_ids":["https://openalex.org/I124391630"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102764808","display_name":"Faizan Ullah","orcid":"https://orcid.org/0000-0001-6009-6153"},"institutions":[{"id":"https://openalex.org/I1305695959","display_name":"Bacha Khan University","ror":"https://ror.org/02an6vg71","country_code":"PK","type":"education","lineage":["https://openalex.org/I1305695959"]},{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE","PK"],"is_corresponding":false,"raw_author_name":"Faizan Ullah","raw_affiliation_strings":["Forschungszentrum J&#x00FC;lich, Institute of Neuroscience and Medicine, J&#x00FC;lich, Germany","Department of Computer Science, Bacha Khan University, Charsadda, Pakistan"],"raw_orcid":"https://orcid.org/0000-0001-6009-6153","affiliations":[{"raw_affiliation_string":"Forschungszentrum J&#x00FC;lich, Institute of Neuroscience and Medicine, J&#x00FC;lich, Germany","institution_ids":["https://openalex.org/I171892758"]},{"raw_affiliation_string":"Department of Computer Science, Bacha Khan University, Charsadda, Pakistan","institution_ids":["https://openalex.org/I1305695959"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"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":16.6806,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.98933388,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"31749","last_page":"31761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9010999798774719,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9010999798774719,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.8119527101516724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574931502342224},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5031654238700867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32074275612831116},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18241244554519653}],"concepts":[{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.8119527101516724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574931502342224},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5031654238700867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32074275612831116},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18241244554519653},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3542451","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3542451","pdf_url":null,"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,"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:a274fd32545149f086e0941f630a44f6","is_oa":true,"landing_page_url":"https://doaj.org/article/a274fd32545149f086e0941f630a44f6","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":"IEEE Access, Vol 13, Pp 31749-31761 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3542451","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3542451","pdf_url":null,"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,"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2033973189","https://openalex.org/W2055993944","https://openalex.org/W2064675550","https://openalex.org/W2082526668","https://openalex.org/W2161381512","https://openalex.org/W2346062110","https://openalex.org/W2366536035","https://openalex.org/W2567670872","https://openalex.org/W2618530766","https://openalex.org/W2777186991","https://openalex.org/W2887280559","https://openalex.org/W2924963641","https://openalex.org/W3007147231","https://openalex.org/W3128009222","https://openalex.org/W3133864745","https://openalex.org/W3165866168","https://openalex.org/W3170002856","https://openalex.org/W4220863829","https://openalex.org/W4226420196","https://openalex.org/W4234865248","https://openalex.org/W4294811348","https://openalex.org/W4308055694","https://openalex.org/W4317360759","https://openalex.org/W4361217689","https://openalex.org/W4385579343","https://openalex.org/W4385760777","https://openalex.org/W4386438198","https://openalex.org/W4387458412","https://openalex.org/W4391564329","https://openalex.org/W4396861943","https://openalex.org/W4403379209","https://openalex.org/W6682132143","https://openalex.org/W6845988798"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2169196470","https://openalex.org/W3113185420","https://openalex.org/W4237580245","https://openalex.org/W4385368139","https://openalex.org/W2906134827","https://openalex.org/W4322745238","https://openalex.org/W4241245680"],"abstract_inverted_index":{"Accurate":[0],"brain":[1,43,158],"tumor":[2,44,159],"detection":[3],"is":[4],"essential":[5],"for":[6,41],"effective":[7,133],"treatment":[8],"and":[9,22,50,63,76,93,111,114,120,124,130,155],"improved":[10],"patient":[11],"outcomes,":[12],"yet":[13],"conventional":[14],"MRI":[15,42],"classification":[16],"methods":[17],"often":[18],"struggle":[19],"with":[20],"complex":[21],"variable":[23],"imaging":[24],"data.":[25],"This":[26],"study":[27],"introduces":[28],"the":[29,98,139],"Transformative":[30],"Transfer":[31],"Learning":[32],"(TTL)":[33],"model,":[34,68],"leveraging":[35],"pre-trained":[36],"deep":[37],"neural":[38],"networks":[39],"fine-tuned":[40],"classification,":[45],"using":[46],"datasets":[47],"from":[48],"Nickparvar":[49],"Cheng.":[51],"High-quality":[52],"inputs":[53],"were":[54],"achieved":[55],"through":[56],"preprocessing,":[57],"including":[58],"resizing,":[59],"normalization,":[60],"noise":[61],"reduction,":[62],"data":[64],"augmentation.":[65],"The":[66],"TTL":[67],"employing":[69],"architectures":[70],"such":[71],"as":[72,142],"VGG16,":[73],"ResNet-50,":[74],"InceptionV3,":[75],"DenseNet-121,":[77],"demonstrated":[78],"a":[79,101,143,150],"substantial":[80],"improvement":[81],"over":[82],"traditional":[83],"methods,":[84],"achieving":[85],"an":[86],"accuracy":[87],"of":[88,91,95,103,106,109,118,128],"94.5%,":[89],"sensitivity":[90],"92.8%,":[92,107],"specificity":[94],"93.1%.":[96],"Additionally,":[97],"model":[99,134],"yielded":[100],"precision":[102],"93.2%,":[104],"recall":[105],"F1-score":[108],"93.0%,":[110],"true":[112,115],"positive":[113],"negative":[116],"rates":[117],"92.8%":[119],"93.1%,":[121],"respectively.":[122],"Training":[123],"validation":[125],"loss":[126],"values":[127],"0.15":[129],"0.18":[131],"confirm":[132],"convergence.":[135],"These":[136],"metrics":[137],"underscore":[138],"model\u2019s":[140],"potential":[141],"robust":[144],"tool":[145],"in":[146],"clinical":[147],"diagnostics,":[148],"providing":[149],"pathway":[151],"to":[152],"more":[153],"accurate":[154],"efficient":[156],"MRI-based":[157],"detection.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-02-18T00:00:00"}
