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Certification of Deep Learning Models for Medical Image Segmentation
In this paper, we present for the first time a certified segmentation baseline for medical imaging based on randomized smoothing and diffusion models.
Towards Better Certified Segmentation via Diffusion Models
The robustness of image segmentation has been an important research topic in the past few years as segmentation models have reached production-level accuracy.
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
In this paper, we propose a deep reinforcement learning method for accurate localization of the L3 CT slice.
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