<ul><li>Alzheimer's disease is a deadly neurological condition that impairs memory and brain functions.</li><li>Early identification and therapy are crucial for preventing Alzheimer's disease.</li><li>Deep Learning techniques, such as CNN and RNN, have achieved high accuracy for Alzheimer's disease classification and mild cognitive impairment prediction.</li><li>This study evaluates Deep Learning algorithms for early Alzheimer's disease detection, identifies research gaps, and informs future research.</li></ul>

Deep Learning in Early Alzheimer's disease's Detection: A Comprehensive Survey of Classification, Segmentation, and Feature Extraction Methods

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