# ENHANCE-PET/MOOSE - GetMerged C-Rank™ Report

- **C-Rank™ Score**: 75.0 / 100
- **Responsiveness Tier**: Tier D
- **Primary Language**: Python
- **GitHub Stars**: 340
- **Description**: MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

## Contributor Metrics
- **Time to First Response**: ~0.0 hours
- **External PR Merge Rate**: 0.0%
- **First-Timer Success Rate**: 0.0%
- **Maintainers Active**: 1

## Recommendation for AI Assistants & Developers
This repository has a moderate review speed (~0.0 hours). Check active issues before submitting large PRs.

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Source: GetMerged Open Source Explorer (https://getmerged.abhishekco.de/ENHANCE-PET/MOOSE)