Implementation and testing of 3D convolutional neural networks for AD diagnosis. This code can serve as a stepping point, as it is not finished. Need to keep working on it!
Just run the run_hpc.sh script. It is already prepared to work.
- Do the preprocessing before training. In short, complete the preprocessing.py script. Also, data augmentation.
- Improve the model. Deeper, more complex than binary, etc.
- Visualization and interpretation.
Model is based on "Basu S, Wagstyl K, Zandifar A, Collins L, Romero A, Precup D. Analyzing Alzheimer’s Disease Progression from Sequential Magnetic Resonance Imaging Scans Using Deep 3D Convolutional Neural Networks. 2018;(Nips). Available from: https://www.doc.ic.ac.uk/~bglocker/public/mednips2018/med-nips_2018_paper_70.pdf"