Project-MONAI / Project-MONAI/MONAI
Is there a way to combine Test-Time Augmentation (TTA) with sliding window inference?
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Feature request
- Dominant language
- Python
- Stars
- 8.7k
- Forks
- 1.6k
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 20
Description
Is there a way to combine Test-Time Augmentation (TTA) with sliding window inference? Specifically, how can TTA be implemented during sliding window inference, and how can the predictions be aggregated using methods such as averaging or others?
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
No files, tests, or entry points are named. Start by locating MONAI's existing test-time augmentation and sliding-window inference implementations, then determine whether their interfaces support composition and prediction aggregation. Done would require a decided approach, documented usage, or a scoped implementation with tests for the aggregation behavior.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100