FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation. (arXiv:2210.15164v2 [cs.CV] UPDATED)

Solving variational image segmentation problems with hidden physics is often
expensive and requires different algorithms and manually tunes model parameter.
The deep learning methods based on the U-Net structure have obtained
outstanding performances in many different medical image segmentation tasks,
but designing such networks requires a lot of parameters and training data, not
always available for practical problems. In this paper, inspired by traditional
multi-phase convexity Mumford-Shah variational model and full approximation
scheme (FAS) solving the nonlinear systems, we propose …

arxiv image learn segmentation unet