LMS-Net unfolds a learned Mumford-Shah energy into a few-shot segmentation network, reporting mean Dice gains of 0.28 to 4.14 points over ADNet and RPT on three medical datasets.
A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy,
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LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation
LMS-Net unfolds a learned Mumford-Shah energy into a few-shot segmentation network, reporting mean Dice gains of 0.28 to 4.14 points over ADNet and RPT on three medical datasets.