How to go for medical image segmentation with multiple masks and then doing pixel-wise classification?
I am working on a problem, wherein I am provided with the training images and each image has two masks for two different categories. How should I segment the images and then do pixel-wise classification to get the output image with 0 for background, 1 and 2 representing the two categories?