adalca/neurite

Medical imaging processing for AI applications.

MONAI Tutorials

AI Toolkit for Healthcare Imaging

Unsupervised Learning for Image Registration

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

A framework for high-performance medical image processing, neural network inference and visualization

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)

Datasets, Transforms and Models specific to Computer Vision