您当前的位置:
首页 >
文章列表页 >
Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm
NUCLEAR ELECTRONICS AND INSTRUMENTATION | 更新时间:2025-06-17
    • Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm

    • “In the field of encoding aperture gamma camera image reconstruction, researchers propose a dataset generation method based on Monte Carlo simulation and linear random combination, and use CNN algorithm to improve imaging performance and accuracy.”
    • NUCLEAR TECHNIQUES   Vol. 48, Issue 4, Article number: 040402(2025)
    • DOI:10.11889/j.0253-3219.2025.hjs.48.240370    

      CLC: TL99
    • Received:10 September 2024,

      Revised:26 November 2024,

      Published:15 April 2025

    移动端阅览

  • XU Wenrui,SONG Yushou,ZHOU Chunzhi,et al.Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm[J].NUCLEAR TECHNIQUES,2025,48(04):040402. DOI: 10.11889/j.0253-3219.2025.hjs.48.240370. CSTR: 32193.14.hjs.CN31-1342/TL.2025.48.240370.

  •  
  •  

0

Views

26

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Impact of source-to-film distance on the accuracy of β-ray surface density measurement
Calculation and analysis for the dosimetry properties of a novel irradiator featuring triple screen by Monte Carlo simulation
Matrix correction method for nuclear material mass measurement using Shuffler neutron interrogation system
Simulation calculation of DNA damage induced by high-energy protons and heavy ions in space
Simulation study on the dosimetric parameters of domestically produced high-dose-rate brachytherapy 192Ir source

Related Author

HAN Bing
ZUO Jingxin
BAI Lixin
LIANG Yongfei
YANG Chaowen
JIN Sunjun
WANG Pingquan
WANG Zhipeng

Related Institution

School of Physics, Sichuan University
National Institute of Metrology
Zhejiang Institute of Quality Sciences
Everclean Environmental Engineering Corporation, China National Nuclear Corporation
Beijing Shucheng Science and Technology Development Co., Ltd.
0