Alzheimer’s Disease MRI Identification, Recognition, & Evaluation - Deep Learning
Tomás Premoli Muniagurria,
Sareh Rowlands
Abstract:In this study, we investigate the impact of various Convolutional Neural Network (CNN) architectures on the accuracy of diagnosing Alzheimer’s Disease (AD) using patient MRI scans. Alzheimer’s Disease is a debilitating neurodegenerative disorder that affects millions worldwide. Early, accurate, and non-invasive diagnostic methods are required for providing optimal care and symptom management. Deep learning techniques, particularly CNNs, have shown great promise in enhancing this diagnostic process. We aim to c… Show more
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