Project-MONAI / Project-MONAI/MONAI
Integrating MICCAI Submissions into MONAI
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.7k
- Forks
- 1.6k
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 20
Description
A number of submissions to MICCAI 2024 were identified as interesting for inclusion in MONAI core. There are listed here for the consideration of the community and to solicit support for implementation:
- FM on seg (e.g. SAM2) on surgical video
- text to image or video generation (us or surgical)
- Surgical image/video depth estimation (NeRF/3DGS)
- 3d/2d multi-modal registration (xray-CT || endo/ultrasound CT/MR)
- 3D Freehand Ultrasound Reconstruction
- Raw to signal
- De-smoke
- Surgical Workflow/phase Recognition
- Surgical Action Triplet (action+object+tool) Detection and Localization, e.g. Grasp (action) Tissue (object) with Forceps (tool)
- Surgical skill assessment
- Surgical Instrument Segmentation
- Surgical Instrument Pose Estimation
- Surgical Instrument Localization/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
No files, tests, or entry points are named. Start by reviewing the listed MICCAI research areas and MONAI core contribution context, then select one proposal and confirm its scope, implementation plan, and acceptance criteria with the community; completion cannot be defined from the issue alone.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100