Multi-Classification based Alzheimer's Disease Detection with Comparative Analysis from Brain MRI Scans using Deep Learning
Published in TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), 2021
Alzheimer’s Disease, the leading cause of dementia, lacks a definitive diagnostic test. Our proposed multi-classification model, based on OASIS data, employs an 18-layer architecture and unique preprocessing of MRI scans across anatomical planes, achieving over 80% accuracy in multi-class settings and 92% in binary classification. Comparative analysis with models like Inception V3 and VGG19 demonstrates its superior performance and reliability.
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