I'm a computer engineering student and I'm about to work on my master thesis. My professor gave me a small dataset with brain Computed Axial Tomography records. I would like to use deep learning to help doctors diagnose a certain disease (obviously, I've also got the data for doing supervised learning).
Since the dataset is small, is radial basis function network a good solution? What do you think?
Btw, if you have any type of tips in using the RBF network for this kind of project I would be really grateful.