MT
jeya-maria-jose/Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
858 177 +0/wk
GitHub
attention deep-learning medical-image-analysis medical-imaging pytorch segmentation transformer transformers
Trend
0
Star & Fork Trend (39 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jeya-maria-jose/Medical-Transformer has +0 stars this period . 7-day velocity: -0.1%.
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| Metric | Medical-Transformer | SRGAN-tensorflow | covalent | MidiTok |
|---|---|---|---|---|
| Stars | 858 | 858 | 858 | 859 |
| Forks | 177 | 278 | 110 | 99 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | MIT |
Capability Radar vs SRGAN-tensorflow
Medical-Transformer
SRGAN-tensorflow
Maintenance Activity 0
Last code push 1141 days ago.
Community Engagement 100
Fork-to-star ratio: 20.6%. 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.