mansi1710 / alzheimer-s-disease-prediction-using-3d-mri-scans Goto Github PK

Vary the batch size of the training data so as to ensure training of large dataset.

Obtained results does not give appreciable results using LeNet model.
Further extend transfer learning using Inception, VGG16 models

AttributeError: module 'PIL.Image' has no attribute 'register_decoder' in
tl1.py

Pillow 5.3.0 installed properly

Add image processing to extract features including ratio of black matter to grey matter and how it affects MRI segmentation.

Vary epochs, learning rate, other parameters.
Try regularization, data augmentation to handle overfitting

The dataset used contains 3D Brain MRI scans extracted from OASIS. Verify the type of dataset including longitudinal section, etc. Study if the task depends on age, sex, etc. parameters.

Use of Auto Encoders for classification of MRI scans.