Automating Weak Label Generation for Medical Image Segmentation to Boost Performance in Label-Scarce Settings
A pipeline that automatically generates high-quality weak labels for unlabeled medical images using foundation models, enabling significant performance boosts in label-scarce segmentation tasks.
