This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.
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
© 2025 Pluto Labs All rights reserved.
Step 1. Scroll down for details & analytics related to the paper.
Discover a range of citation analytics, paper references, a list of cited papers, and more.