DINOv2 adaptation tested against task-specific medical segmentation models
Researchers compare adapting DINOv2, a foundation model pretrained on natural images, for medical image segmentation against task-specific training. They vary how much of the model is tuned and test performance at new clinical sites, rather than only on training-distribution data. Why it matters It…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-11-12 07:04 · DEV Community — Machine Learning
DINOv2 adaptation tested against task-specific medical segmentation models