ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection

Understand

In clinical medicine, precise image segmentation can provide substantial support to clinicians.

• However, obtaining high-quality segmentation typically demands extensive pixel-level annotations, which are labor-intensive and expensive.
• Scribble annotations offer a more cost-effective alternative by improving labeling efficiency.
• Nonetheless, using such sparse supervision for training reliable medical image segmentation models remains a significant challenge.