AI Toolkit for Healthcare Imaging

Medical imaging toolkit for deep learning

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

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

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

The Medical Imaging Interaction Toolkit.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Dicoogle - Open Source PACS

Neural networks toolbox focused on medical image analysis

dcmqi (DICOM for Quantitative Imaging) is a free, open source C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Diffusion MRI analysis and visualization in 3D Slicer open source medical imaging platform.

A collection of deep learning models with a unified API.

Slicer extensions index

Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".

Code for analyzing medical images saved as .dicom files

A qt-based 3D data visualization tool.