I am working with CT scans which have a sequence of 150 slices in each scan.   I take one slice at a time and run it through a 2D DenseNet (trained from scratch on medical images), and extract last layer features.
So at the end of feature extraction phase I have (num_features X 150) array.  What is the best way to put a binary classifier on this array?  Is it just putting one / multiple layers of Linear classifiers, LSTM, or are there any interesting Arxiv papers that I should look at?
nn.Linear( num_feature x 150, 2 )

Thanks!