对比增强能谱乳腺X线摄影的临床应用进展Progress in Clinical Application of Contrast Enhanced Energy Spectrum Mammography
蔡文清, 霍善棋, 廖发超, 姚 虹, 陈志明
临床医学进展 Vol.11 No.6, June 11 2021, PDF, HTML, XML DOI:10.12677/ACM.2021.116379 被引量
用于涉核场所中子能谱测量的中子旋转谱仪研制Design of Neutron Rotation Spectrometer for Neutron Spectrum Measurement in Nuclear Sites
李世垚, 聂 萍, 陆慧晨, 秦 茜, 李 彪, 肖凯歌, 侯 志, 郑 琦
核科学与技术 Vol.11 No.3, July 27 2023, PDF, HTML, XML DOI:10.12677/NST.2023.113031 被引量
基于NaI(Tl)谱仪的3种γ能谱解谱方法比较Comparative Study of Three γ Spectrum Solution Methods Based on NaI(Tl) Spectrometer
胡有华, 王建超
环境保护前沿 Vol.12 No.5, October 25 2022, PDF, HTML, XML DOI:10.12677/AEP.2022.125130 被引量
能谱CT对直肠癌淋巴结转移的评估价值The Value of Spectroscopic CT for Lymph Node Metastasis in Rectal Cancer
穆冬冬, 师梦伟, 宋浩然, 闫 暕, 乔文娟, 郑连生
临床个性化医学 Vol.4 No.1, February 24 2025, PDF, , XML DOI:10.12677/jcpm.2025.41074 被引量
能谱CT成像联合虚拟平扫鉴别肺癌病理类型的价值研究The Study of the Value of Spectral CT Imaging Combined with Virtual Non-Contrast in the Identification of Pathological Type of Lung Cancer
史慧文, 苗春萌, 张金华, 张在先, 张传玉
临床医学进展 Vol.11 No.7, July 14 2021, PDF, HTML, XML DOI:10.12677/ACM.2021.117442 被引量
元素、伽马能谱录井在川东地区下二叠统分层中的应用The Application of Element and Gamma-Ray Spectrum Logging in Lower Permian Strata in the Eastern Sichuan Area
吴 萍, 尹 平, 黄定友, 罗 芳, 伍 燚
石油天然气学报 Vol.39 No.4, August 15 2017, PDF, HTML, XML DOI:10.12677/JOGT.2017.394042 被引量
能谱CT单能量成像优化腹部增强中腹腔干成像质量的探究An Investigation of Single-Energy Imaging with Energy-Spectrum CT to Optimise the Quality of Abdominal Stem Imaging in Abdominal Enhancement
赵思祺, 宫凤玲, 陈 思
临床医学进展 Vol.14 No.3, March 27 2024, PDF, HTML, XML DOI:10.12677/acm.2024.143865 被引量
天然辐射场γ射线谱分布的MC模拟研究MC Simulation Study of γ-Ray Spectral Distribution in Natural Radiation Field
朱松林, 樊新胜, 刘雅囡, 张凡颖, 赵小刚
自然科学 Vol.10 No.4, July 13 2022, PDF, HTML, XML DOI:10.12677/OJNS.2022.104061 被引量
基于Qt的γ能谱分析软件设计Design of γ Energy Spectrum Analysis Software Based on Qt
袁书旎
核科学与技术 Vol.12 No.1, December 11 2023, PDF, HTML, XML DOI:10.12677/NST.2024.121002 被引量
基于MCNP方法的不同材料X射线谱分布模拟 Simulation of X-Ray Fluorescence Spectrum Distribution in Different Materials Based on Monte Carlo Method
赵 扬
材料科学 Vol.13 No.12, December 25 2023, PDF, HTML, XML DOI:10.12677/MS.2023.1312122 被引量