Benchmarking image inpainting methods (kNN, Matrix Completion, VAE-WL, CMask-ViT, DIP, Diffusion) for robustness to MCAR/MAR/MNAR missingness in mammography (INBreast, MIAS, CBIS-DDSM, VinDr-Mammo) and histopathology (BreaKHis).
medical-imagesimage-inpaintingvision-transformermedical-imaging-classificationmissing-data-analysismissing-data-transformer
-
Updated
Aug 20, 2026 - Python