MedShapeNetCore

MedShapeNetCore is a subset of MedShapeNet, containing more lightweight 3D anatomical shapes in the format of mask, point cloud and mesh. The shape data are stored as numpy arrays in nested dictonaries in npz format (Zenodo). This API provides means to downloading, accessing and processing the shape data via Python, which integrates MedShapeNetCore seamless into Python-based machine learning workflows. For details, visit the Github Repository. If you use the dataset in your research, please also cite the original datasets (which can be found using command <!python -m MedShapeNetCore info>), besides MedShapeNet. You can search the database using anatomy nomenclature, such as 'liver', 'aorta', 'skull' etc. Fore more commands, visit the Github Repository. python -m MedShapeNetCore search_by_organ ORGAN