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This project leverages deep learning models (Inception V3, MobileNetV2, VGG19, VGG16, and hybrid) to create a web tool for early Alzheimer's detection. Trained on a diverse dataset of neuroimaging scans, the hybrid model achieved over 96.07% accuracy, promising improved accessibility in diagnosis.
ameerhamzarashid/Alzheimer-Detection-Using-Deep-Learning-Algorithms
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This project leverages deep learning models (Inception V3, MobileNetV2, VGG19, VGG16, and hybrid) to create a web tool for early Alzheimer's detection. Trained on a diverse dataset of neuroimaging scans, the hybrid model achieved over 96.07% accuracy, promising improved accessibility in diagnosis.
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