RS
ternaus/robot-surgery-segmentation
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
640 213 +0/wk
GitHub
computer-vision deep-learning image-segmentation medical-imaging python pytorch robot-assisted-surgery
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ternaus/robot-surgery-segmentation has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | robot-surgery-segmentation | euclidesdb | Awesome-Optical-Flow | RLzoo |
|---|---|---|---|---|
| Stars | 640 | 640 | 639 | 641 |
| Forks | 213 | 30 | 39 | 97 |
| Weekly Growth | +0 | +0 | +2 | +0 |
| Language | Jupyter Notebook | C++ | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | N/A | Apache-2.0 |
Capability Radar vs euclidesdb
robot-surgery-segmentation
euclidesdb
Maintenance Activity 0
Last code push 742 days ago.
Community Engagement 100
Fork-to-star ratio: 33.3%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.