Project-MONAI / Project-MONAI/MONAI
Preprocessing to enhance the target boundaries
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- Dominant language
- Python
- Stars
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- Forks
- 1.6k
- Avg merge
- 5d 1h
- Merged PRs (30d)
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Description
Is your feature request related to a problem? Please describe.
originally from https://github.com/btgraham/SparseConvNet-archived/blob/master/SparseConvNet/Data/kaggleDiabeticRetinopathy/preprocessImages.py
it's been used in several challenges such as Kaggle Diabetic Retinopathy Detection
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 the referenced SparseConvNet preprocessImages.py and then locate the corresponding image-preprocessing entry point in MONAI. Clarify the expected inputs, outputs, and integration point before implementation; done should be an agreed MONAI feature that reproduces the intended target-boundary enhancement with validated behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100