ginobilinie / medSynthesisV1

This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework
MIT License
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Default normalization method for train and test on 2D image #32

Open linhlpv opened 3 years ago

linhlpv commented 3 years ago

Hi @ginobilinie , Thank you so much because of your great works. I am working on the medical image translation project and I am a newbie on this topic. Your codes help me a lot. When I read your code, I have been stucked on normalizing method for data. I saw that for 2D data you use 6 as default method for training and testing and this method use the max and min values of single image to normalize the image. But when the case that we only have MRI image, this method seem can not be applied. So Which normalize method should we use for training and testing phase? Could you please correct this question for me? Thank you so much for the time.