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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
Email
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)

Links