Deep learning for early diagnosis of Alzheimer’s Disease

Deep learning for early diagnosis of Alzheimer’s Disease

Aim: We aim to develop deep learning techniques to diagnose Alzheimer’s Disease (AD) based on existing neuroimaging data. Social/scientific motivation: AD is a chronic neurodegenerative disease that usually starts slowly, worsens over time, and is fatal. It is...
Deep learning for early diagnosis of Alzheimer’s Disease

Robust Convex Hull Classifier Algorithm (RoCoCA)

Aim: We aim to create a MATLAB implementation of the convex hull based feature selection algorithm, which is simple to use and easy to visualize data with. Users of the package will be able to train, test, and visualize data with customized option. Social/scientific...