Transfer-learning-based classification of pathological brain magnetic resonance images

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dc.authoridSavas, Serkan/0000-0003-3440-6271
dc.authoridDAMAR, CAGRI/0000-0001-7208-1290
dc.contributor.authorSavas, Serkan
dc.contributor.authorDamar, Cagri
dc.date.accessioned2025-01-21T16:55:42Z
dc.date.available2025-01-21T16:55:42Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractDifferent diseases occur in the brain. For instance, hereditary and progressive diseases affect and degenerate the white matter. Although addressing, diagnosing, and treating complex abnormalities in the brain is challenging, different strategies have been presented with significant advances in medical research. With state-of-art developments in artificial intelligence, new techniques are being applied to brain magnetic resonance images. Deep learning has been recently used for the segmentation and classification of brain images. In this study, we classified normal and pathological brain images using pretrained deep models through transfer learning. The EfficientNet-B5 model reached the highest accuracy of 98.39% on real data, 91.96% on augmented data, and 100% on pathological data. To verify the reliability of the model, fivefold cross-validation and a two-tier cross-test were applied. The results suggest that the proposed method performs reasonably on the classification of brain magnetic resonance images.
dc.identifier.doi10.4218/etrij.2022-0088
dc.identifier.endpage276
dc.identifier.issn1225-6463
dc.identifier.issn2233-7326
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85175380576
dc.identifier.scopusqualityQ2
dc.identifier.startpage263
dc.identifier.urihttps://doi.org/10.4218/etrij.2022-0088
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25807
dc.identifier.volume46
dc.identifier.wosWOS:001095069000001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofEtri Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectbrain MRI; deep learning; EfficientNet; transfer learning; two-tier cross-test; white matter
dc.titleTransfer-learning-based classification of pathological brain magnetic resonance images
dc.typeArticle

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