MedSeg 7D: Seven Public Medical Segmentation Benchmarks (2D + 3D) A curated bundle of seven public medical segmentation datasets, packaged with canonical leakage free splits for the four datasets where one is needed (ACDC patient level, BraTS2020 volume level, CVC ClinicDB video level, plus seed fixed image level for the rest). All raw images and masks are retained at their original resolution; no resizing, no preprocessing baked in. For the two volumetric MRI datasets (ACDC, BraTS), this release ships both 2D slice extracts and the original 3D NIfTI volumes , so users can choose 2D or 3D pipelines without re downloading. This is the dataset only release that accompanied an evaluation protocol audit of pixel vs.\ latent space diffusion augmentation for medical image segmentation. The bundle is reusable for any 2D medical segmentation research, not just the original study. Why this exists. Many existing medical augmentation papers report non comparable numbers because each uses a different (often undocumented) train/test split, and several datasets have hidden leakage if split at the image level (CVC same video frames, ACDC same patient slices, BraTS same volume slices). This releas…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy