--- license: cc-by-nc-4.0 pretty_name: OrganMNIST3D Subset (Bladder and Femur-Right) task_categories: - image-classification tags: - biomedical-imaging - 3d - NIfTI file format (.nii.gz) - medmnist+ - autoencodix --- # Info Subset of the MedMNIST+ OrganMNIST3D dataset containing only the organ classes bladder and femur-right, prepared for use with the [AUTOENCODIX ](https://github.com/jan-forest/autoencodix_package) Imagix3D tutorial. The complete MedMNIST dataset collections can be found [here](https://medmnist.com/). OrganMNIST3D is a three-dimensional biomedical image classification dataset derived from abdominal CT scans. The MedMNIST+ version provides the volumes at a spatial resolution of 64 × 64 × 64 voxels. For this tutorial dataset, only samples belonging to the bladder and right-femur classes were retained. The volumes were converted from its original .npz file format to compressed NIfTI files (.nii.gz). # Contents - 345 images (174 bladder, 171 femur-right) with a spatial size of 64 × 64 × 64 voxels. - organmnist3d_images.zip: compressed archive containing the individual volumes in NIfTI format (.nii.gz). - organmnist3d_mappings.csv: comma-separated annotation file containing the sample identifiers, paths to the corresponding NIfTI files, and organ-class labels. # Loading The files can be downloaded from Hugging Face using huggingface_hub: ```python from huggingface_hub import hf_hub_download import zipfile mapping_path = hf_hub_download( repo_id="autoencodix/OrganMNIST3D-subsample", repo_type="dataset", filename="organmnist3d_mappings.csv", ) zip_path = hf_hub_download( repo_id="autoencodix/OrganMNIST3D-subsample", repo_type="dataset", filename="organmnist3d_images.zip", ) with zipfile.ZipFile(zip_path) as zf: zf.extractall("data/images/") ``` # License Original dataset licensed under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/), see: https://medmnist.com/. The [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0) license associated with the MedMNIST project applies to the MedMNIST software code, see: https://github.com/MedMNIST/MedMNIST/.