Figure 1.

Example ground truth segmentations for the MRI and CT datasets (both with dimensions 512 × 512), and example image corruptions for context prediction (zero-ing image patches) and context restoration (swapping image patches). Since image corruption happens after normalization, the zero-ed out image patches for context prediction were actually replaced with the mean of the image. The “Inpainting” section depicts image corruptions with four different patch sizes: 64 × 64, 32 × 32, 16 × 16, and 8 × 8. The locations of these patches were determined using Poisson-disc sampling to prevent randomly overlapping patches.