The miniMSD dataset is a medical image segmentation benchmark covering 10 human organs.
It is derived from the Medical Segmentation Decathlon (MSD) by converting volumetric scans
from NIfTI (NII) format into serialised 2D RGB images, alongside their corresponding segmentation masks.
The dataset is provided in multiple resolution variants (244, 512), enabling easier use,
off-the-shelf accessibility, and flexible… See the full description on the dataset page:
https://huggingface.co/datasets/chehablab/MiniMSD.
