Dear visitor, please be informed that this is the ITEA staging environment. No actions here will be updated to production, feel free to test the system
Code for preparing radiotherapy data for federated learning
- Project
- 20044 ASSIST
- Type
- New library
- Description
Code for preparing radiotherapy data, images, segmentations and dose volumes, for federated learning
- Contact
- Christian Jamtheim Gustafsson, Skåne university hospital
- christian.jamtheimgustafsson@skane.se
- Research area(s)
- Radiotherapy, image processing
- Technical features
Python code for preprocessing of radiotherapy data
- Integration constraints
Requires DICOM files to be exported from the oncology department, CT.dcm , MR.dcm, RTSTRUCT for segmentations, RTDOSE for dose volume. Requires Mice / Hero software for initial preprocessing.
- Targeted customer(s)
Anyone working with radiotherapy data
- Conditions for reuse
See the GitHub repository
- Confidentiality
- Public
- Publication date
- 09-09-2024
- Involved partners
- Linköping University (SWE)
- RaySearch Laboratories AB (Publ) (SWE)