MONAI Label is an intelligent open source image labeling and learning tool.

WARNING: This is NOT the official upstream VTK git repository

Supports various cleanup and optimization processes on surface models

3D Slicer extension which contains a Segment Editor Effect that solidifies and extracts the surface of a segmentation

Slicer extensions index

VolView Insight is a unified platform for imaging and clinical data, providing researchers with an extensible testbed for developing, testing, and deploying multimodal models

AI-powered audit team using Autogen framework for medical device compliance with ISO 13485:2016, ISO 14971:2019, and IEC 62304:2006 standards.

General-purpose features that may be integrated into VTK library in the future.

Collection of utilities that are not polished implementations but can be useful to users

A new boolean operations filter for VTK

Multi-platform, free open source software for visualization and image computing.

AI Toolkit for Healthcare Imaging

VNC client web application

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

a programming library with geometric algorithms

Medical imaging segmentation workflows for FireCloud (Terra) and Seven Bridges Cancer Genomics Cloud

Chest Imaging Platform (CIP)

Slicer extension for the Chest Imaging Platform

Many additional segmentation tools for 3D Slicer's Segment Editor

MONAI Tutorials

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

A 3D Slicer extension to use AMASSS, ALI-CBCT and ALI-IOS

Image tracking, Location Based AR, Marker tracking. All on the Web.

Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model

Jupyter notebooks for learning how to use SimpleITK

ITK external module to control topology of binary mask regions