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Code for running a segmentation model in a Docker container
- Project
- 20044 ASSIST
- Type
- New library
- Description
Code for running preprocessing and segmentation of MR images in a Docker container, for example for integration with the SAINT platform.
- Contact
- Anders Eklund
- anders.eklund@liu.se
- Research area(s)
- Radiotherapy, deep learning, medical imaging
- Technical features
The code runs preprocessing of MR DICOM files, then runs a trained segmentation model on the preprocessed data, and finally converts the segmentations from binary volumes to a DICOM RTSTRUCT file to be imported into radiotherapy software.
- Integration constraints
Docker needs to be installed. MR images need to be in DICOM format.
- Targeted customer(s)
Anyone working with segmentation in radiotherapy
- Conditions for reuse
See GitHub repository
- Confidentiality
- Public
- Publication date
- 09-09-2024
- Involved partners
- Linköping University (SWE)
- Spectronic AB (SWE)