Deep learning approach efficiently classifies Alzheimer's disease in brain MRI, suggesting improved early diagnosis.
This study presents a deep learning-based approach using Convolutional Neural Networks (CNNs) for the classification and early detection of Alzheimer’s disease from medical imaging data. The system aims to assist in early diagnosis by learning discriminative features from brain scans. The implementation is developed in Python using modern deep learning libraries and evaluated on benchmark datasets.
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Akinrinlola et al. (2026) studied this question.
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