MONAI

Why we included this project

Teams training deep learning models on medical images often end up writing the same plumbing over and over, from loading scans to building augmentation pipelines. MONAI packages that work for PyTorch users, with transforms that handle medical formats like NIfTI and DICOM and network blocks for segmentation and classification tuned for three-dimensional data. It is built around reproducible, end-to-end training workflows, so work done in the lab carries over reasonably well when you move toward clinical-grade pipelines. The project also has solid documentation and an active research community, which helps when you hit the inevitable edge case the docs did not cover.