Project-MONAI / Project-MONAI/MONAILabel
Set up MONAILabel with XNAT for training
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 891
- Forks
- 269
- Avg merge
- 15h 41m
- Merged PRs (30d)
- 1
Description
MONAI Integration with XNAT
Hi Team,
I am building a few working prototypes for our key customers -- hospitals and research institute -- in APJ area, to help them set up a training & inference work environment for medical imaging. Their preference is to have XNAT and MONAI Label as for front end and servers respectively. Until now, we have already successfully connected XNAT and MONAI Label for inference. However, my customer cannot complete the training process due to some components are not processed yet within MONAI Label.
Can I request the team to help to prioritise this activity so that we can get this pipeline running end to end?
Many Thanks
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue provides no files, tests, or specific components to inspect. Start by identifying the existing XNAT-to-MONAI Label inference integration and determining which training components are missing. Done means an end-to-end XNAT and MONAI Label training pipeline works for the described medical-imaging workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- backend, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100