This Python package provides tools for efficiently reading, preprocessing, sampling, augmenting, and writing 3D medical images in deep learning applications. It is written in PyTorch and includes a range of intensity and spatial transforms for data augmentation and preprocessing. The package is designed to streamline the handling of 3D medical images in deep learning workflows.
Creator
University College London, King’s College London