Downloads
InnerEye-DICOM-RT
April 2021
InnerEye-DICOM-RT contains tools to convert medical datasets in NIFTI format to DICOM-RT. Datasets converted using this tool can be consumed directly by InnerEye-DeepLearning. Most of the work is done by a .NET Core 2.1 project in RTConvert, written in C#.…
Gadgetron Azure
September 2021
This repository contains a setup for running a distributed deployment of the Gadgetron in a Kubernetes cluster. The setup has been developed for and tested with Azure Kubernetes Service (AKS) but should work on other Kubernetes deployments too.
fastMRI+
September 2021
The purpose of this project is to release a set of clinically relevant labels for an existing, publicly available dataset (https://fastmri.org). With permission from the fastMRI team at NYU, we have engaged third party labelers (radiologist) to place bounding boxes…
InnerEye-CreateDataset
September 2020
InnerEye-CreateDataset contains tools to convert medical datasets in DICOM-RT format to NIFTI. Datasets converted using this tool can be consumed directly by InnerEye-DeepLearning.
InnerEye Inference API
May 2021
InnerEye-Inference is a AppService webapp in python to run inference on medical imaging models trained with the InnerEye-DeepLearning toolkit. You can also integrate this with DICOM using the InnerEye-EdgeGateway.
InnerEye – Deep Learning
September 2020
This is a deep learning toolbox to train models on medical images (or more generally, 3D images). It integrates seamlessly with cloud computing in Azure.