Project-MONAI / Project-MONAI/tutorials
LIDC/NLST training Validation SPLIT
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- Dominant language
- Jupyter Notebook
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Description
Is there anyway to find out which exact subset of LIDC and NLST (patient ID's/scans) were used to train MAISI Latent Diffusion part (not just the control net)? I'd like to inference with LIDC, but not sure which exact scans are unseen.
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 does not identify a file, test, or entry point. Begin by tracing the MAISI Latent Diffusion training records for LIDC and NLST and determine whether patient IDs or scans are documented; done means publishing the exact training subset so unseen scans can be identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, pytorch
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100