Project-MONAI / Project-MONAI/MONAI
data analyzer to automatically detect 'outliners'
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.7k
- Forks
- 1.6k
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 20
Description
as discussed, would be great to add some capability of detecting obvious outliners to DataAnalyzer
https://github.com/Project-MONAI/MONAI/blob/70c0443a703a8e5f9930d7b677d14425378b9226/monai/apps/auto3dseg/data_analyzer.py#L57-L64
cc @mingxin-zheng
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
Start by reading monai/apps/auto3dseg/data_analyzer.py around lines 57-64 and the linked discussion #5167. Clarify what “outliers” means for DataAnalyzer and which detection behavior is expected before determining the implementation scope. Done should mean the agreed capability is added with a verifiable way to confirm obvious outliers are detected.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100