Abstract

In the original article, there was an error at the following phrase, page 4 line 394, section 2.1: “For example, Roser et al. [117] use CNN, in particular a U-Net, to compute first-order dose exposure of patients (i.e., without considering scattered radiation) due to image-guided x-ray procedures.”A correction has been made to :“For example, Roser et al. [117] use a U-Net fed with first order fluence maps computed by fast ray-casting in order to estimate the total dose exposure including scattered radiation during image-guided x-ray procedures.”The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Highlights

  • Specialty section: This article was submitted to Radiation Detectors and Imaging, a section of the journal Frontiers in Physics

  • There was an error in Literature Review, AI-Based Dose Computation, paragraph three

  • The sentence “For example, Roser et al [117] use CNN, in particular a U-Net, to compute first-order dose exposure of patients due to image-guided x-ray procedures.” should have read “For example, Roser et al [117] use a U-Net fed with first order fluence maps computed by fast ray-casting in order to estimate the total dose exposure including scattered radiation during image-guided x-ray procedures.”

Read more

Summary

Introduction

Specialty section: This article was submitted to Radiation Detectors and Imaging, a section of the journal Frontiers in Physics. Corrigendum: Artificial Intelligence for Monte Carlo Simulation in Medical Physics

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.