2 papers
cs.CE2020
Quantifying the unknown impact of segmentation uncertainty on image-based simulations
Michael C. Krygier, Tyler LaBonte, Carianne Martinez +5
Image-based simulation, the use of 3D images to calculate physical quantities, fundamentally relies on image segmentation to create the computational geometry. However, this proces…
eess.IV2019
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty
Tyler LaBonte, Carianne Martinez, Scott 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 quant…