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

arXiv — cs.CV•Thursday, October 30, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A recent study introduces ScribbleVS, a novel approach to medical image segmentation that utilizes scribble annotations to enhance labeling efficiency. This method addresses the challenges of traditional pixel-level annotations, which are often costly and labor-intensive. By leveraging dynamic competitive pseudo label selection, ScribbleVS aims to improve the accuracy and reliability of segmentation models in clinical settings. This advancement is significant as it could streamline the process for clinicians, ultimately leading to better patient outcomes and more efficient healthcare practices.
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