Hi all!
I have a modified unet network with bifpn in between encoder and decoder part for segmenation of MS lesions in T1 and FLAIR MRI images. Having implemented augmentation such as rotation, scaling and horizontal flip, my network won’t learn anything. The strange part is when I remove the data augmentation, the network learn and produces segmentation mask. Any suggestions?
Thanks!