Fig. 2.
A visual comparison of the J-UNET and the J-MoDL approaches on a test slice. The joint learning using J-MoDL preserves the fine details as pointed by arrows in the zoomed area.
A visual comparison of the J-UNET and the J-MoDL approaches on a test slice. The joint learning using J-MoDL preserves the fine details as pointed by arrows in the zoomed area.