Original paper
Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning
Volume: 66, Issue: 6, Pages: 065029 - 065029
Published: Feb 24, 2021
Abstract
Integrated-type proton computed tomography (pCT) measures proton stopping power ratio (SPR) images for proton therapy treatment planning, but its image quality is degraded due to noise and scatter. Although several correction methods have been proposed, techniques that include estimation of uncertainty are limited. This study proposes a novel uncertainty-aware pCT image correction method using a Bayesian convolutional neural network (BCNN). A...
Paper Details
Title
Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning
Published Date
Feb 24, 2021
Volume
66
Issue
6
Pages
065029 - 065029