Oct 7, 2023 � The results show that the proposed posterior bootstrap method provides improvement on uncertainty estimation with equivalent segmentation�...
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In this paper, we proposed a novel Bayesian approach based on posterior bootstrap theory to sample the neural network parameters from a posterior distribution.
Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap ... using the posterior bootstrap. Phys. Med. Biol. 66(12), 125018 (2021)
Aug 16, 2023 � This work contributes a systematic overview of state-of-the-art approaches for decomposing predictive uncertainty into aleatoric and epistemic components.
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Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap - Shishuai Wang. UNSURE-Workshop � 4:08. Confidence-Aware and Self-Supervised�...
In this review, we propose an overview of the existing methods to quantify uncertainty associated with DL predictions. We focus on applications to medical�...
Uncertainty estimation in liver tumor segmentation using the posterior bootstrap, Shishuai Wang et al. 11:22-11:26. Uncertainty-based quality assurance of�...
Oct 12, 2023 � Brain tumor segmentation with uncertainty estimation ... Trustworthy multi-phase liver tumor segmentation via evidence-based un- certainty.
Oct 13, 2023 � We present an analysis of 81 patients with colorectal liver ... Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap.