I am trying to classify medical dicom images using Conv3D. I have a few questions, not sure if I am asking the question in the right way. The image size is (512 x 512 x 3 channels). Each scan has no of slices 28 - 40 slices in DICOM format, and I have around 500 datasets
- How should I structure the datasets? Is a absent or present classification for the medical images. I understand if simple 2D images (for e.g. dog and cat, I can put the right images in the respective folders). But in my case, I have a stack of 2D images for one scan.
- The no of slices varies for all the scans, what is the correct way to use the dataloader?
My questions may not be very clear, but I am more than happy to give more clarification if needed. Or if there is any example that will be great.