bingyanx3/Alzheimers_Disease_Detection_Using_Deep_Learning

This project aims to detect Alzheimer's Disease from the MRI scans ( in .nii extension) given as input. It involves several pre-processing steps such as skull stripping, bias correction and segmentation. Once the segmentation is completed, three 2D slices (axial, coronnal, saggital) are extracted from the segmented MRI Image. In this manner the dataset is prepared which is used for training the model.

Jupyter Notebook