We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty

23 Oct 2019Tyler LaBonteCarianne MartinezScott A. Roberts

Deep learning has been successfully applied to the segmentation of 3D Computed Tomography (CT) scans. Establishing the credibility of these segmentations requires uncertainty quantification (UQ) to identify untrustworthy predictions... (read more)

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