Open AndrisQBV opened 2 years ago
Could you show the results you got? I guess the three channels should be more correlated in order for the StyleGAN to learn the features. One suggestion is to overlap the labels with the image, so the StyleGAN can tell that the pancreas and tumors are the regions of interest.
Did you manage to work further upon this? I am interested to hear your approach and results.
me too
I am trying to generate synthetic CT images (grayscale) with corresponding pancreas and tumor labels (both are binary images). I use a 3 channel input image, where the CT image is on the first channel and the binary masks on the second and third channels:
Is it possible to generate images and labels this way?
I have tried to disable augmentation and the RGB module of the network (set is_torgb false), although I got wrong results.
Thanks in advance! Every comment is appreciated!