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A Practical Multiclass Classification Network for the Diagnosis of Alzheimer's Disease
2022
Applied Sciences
Patients who have Alzheimer's disease (AD) pass through several irreversible stages, which ultimately result in the patient's death. It is crucial to understand and detect AD at an early stage to slow down its progression due to the non-curable nature of the disease. Diagnostic techniques are primarily based on magnetic resonance imaging (MRI) and expensive high-dimensional 3D imaging data. Classic methods can hardly discriminate among the almost similar pixels of the brain patterns of various
doi:10.3390/app12136507
fatcat:mbrlqwyz6vbgbhj4oy7eaqdvt4