Enhanced difference ghost shuffle U‐Net: A hybrid Monte Carlo deep learning denoiser for boron neutron capture therapy dose calculation

EDGS-UNet offers a plug-and-play, clinically promising solution for rapid and accurate BNCT dose calculation. This work is expected to promote the clinical development of BNCT in the future.

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Publication Details

Journal
Medical Physics
Published
2025-11-25
DOI
https://doi.org/10.1002/mp.70100
Primary Topic
Boron Compounds in Chemistry
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhanced difference ghost shuffle U‐Net: A hybrid Monte Carlo deep learning denoiser for boron neutron capture therapy dose calculation

Xie George Xu, Xuanhe Wang, Zhi Chen, Mingming Wei et al.
Medical Physics
Boron Compounds in Chemistry
article

Enhanced difference ghost shuffle U‐Net: A hybrid Monte Carlo deep learning denoiser for boron neutron capture therapy dose calculation

Xie George Xu, Xuanhe Wang, Zhi Chen, Mingming Wei, Yuxin Wang
article en

Abstract

EDGS-UNet offers a plug-and-play, clinically promising solution for rapid and accurate BNCT dose calculation. This work is expected to promote the clinical development of BNCT in the future.

Medical PhysicsVol. 52(12)
University of Science and Technology of China (CN)
Openalex Percentile: Top 49%
Boron Compounds in Chemistry
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