Any ideas about how to train a resnet/resnext network with intensity images whose value ranges exceed 8 bits?
Haven’t tried it myself, but usually the first step when training is to normalize the images, which turns the 8-bits pixel values into floating point numbers. I don’t see why you can’t do the same thing with 16-bits pixel values. And as soon as you have floating point numbers, the neural network can be trained on those.
Yes, this is what I’m trying. I wanted to make sure that it’s the right approach
Thank you for the reply
Does fastai do this for me?