DeepMRSegApp is developed and maintained by the Center for Biomedical Image Computing and Analytics (CBICA) at the University of Pennsylvania in collaboration with German Cancer Research Center (DKFZ).
These are the platforms we have tested.
- Microsoft Windows 10 (x64)
It may also work on other platforms, but will need to be built from sources.
- DeepMRSeg Python package must be installed on your system as per the instructions here.
- SimpleITK version 1.2.4 must be installed. You may install it as follows:
pip install SimpleITK==1.2.4
- The software has been designed for research purposes only and has neither been reviewed nor approved for clinical use by the Food and Drug Administration (FDA) or by any other federal/state agency.
- This code (excluding dependent libraries) is governed by the license provided in https://www.med.upenn.edu/cbica/software-agreement.html unless otherwise specified.
- By using DeepMRSegApp, you also agree to all required licenses as stated in the license file.
For more information, please contact CBICA Software.
git clone https://github.com/CBICA/DeepMRSegApp.gitWe would like to thank the Medical Imaging Interaction Toolkit (MITK) team from the German Cancer Research Center (DKFZ) for their toolkit and support.