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Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, J. M. Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya

2021Computers in Biology and Medicine183 citationsDOIOpen Access PDF

Topics & Concepts

Magnetic resonance imagingArtificial intelligenceComputer scienceModalitiesDeep learningPreprocessorNeuroimagingMultiple sclerosisFeature selectionModality (human–computer interaction)Machine learningFeature (linguistics)MedicineRadiologySociologyPsychiatryLinguisticsPhilosophySocial scienceMultiple Sclerosis Research StudiesBrain Tumor Detection and ClassificationGene expression and cancer classification
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review | Litcius