Showing 1 - 20 results of 66 for search '"X‐ray imaging"', query time: 0.08s Refine Results
  1. 1

    Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

    Published 2024-09-01
    “…The results generated by the new system and previous versions of X-ray image processing programs were compared.Results. …”
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    Article
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    The method of increasing the information content of microfocus X-ray images by N. E. Staroverov, A. Y. Gryaznov, I. G. Kamyshanskaya, N. N. Potrakhov, E. D. Kholopova

    Published 2021-12-01
    “…In some cases, microfocus X-ray images cannot be reliably analyzed due to the peculiarities of the shooting method. …”
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    Article
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    Large-scale self-assembled nanophotonic scintillators for X-ray imaging by Louis Martin-Monier, Simo Pajovic, Muluneh G. Abebe, Joshua Chen, Sachin Vaidya, Seokhwan Min, Seou Choi, Steven E. Kooi, Bjorn Maes, Juejun Hu, Marin Soljačić, Charles Roques-Carmes

    Published 2025-07-01
    “…We demonstrate the practical applicability of our nanophotonic scintillators through X-ray imaging of biological and inorganic specimens. …”
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    Impacts of Filtration on Contrast-Detail Detectability of an X-ray Imaging System by Qirong Zhang, John Rong, Xizeng Wu, Yuhua Li, Wei R. Chen, Hong Liu

    Published 2006-01-01
    “…The purpose of this study is to investigate the impacts of added filtration on the contrast-detail detectability of a digital X-ray imaging system for small animal studies. A digital X-ray imaging system specifically designed for small animal studies was used. …”
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    Decision Making Support System for the Diagnostics of the Cardiovascular System Pathologies by the X-ray Images of the Chest by A. G. Radzhabov

    Published 2023-03-01
    “…The importance of building algorithms for detecting extrapulmonary pathologies on chest X-ray images is dictated by the great social significance of many diseases of this group (for example, cardiovascular diseases), given the availability of such images, due to the widespread use of minimally invasive and relatively cheap X-ray diagnostic methods. …”
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    Uncertainty Estimation in Cardio Landmark Detection and Heart Disease Diagnosis on Chest X-Ray Images by Dmitry Lvov, Ivan Stebakov, Alexei Kornaev, Ilya Pershin, Tamerlan Mustafaev, Danil Afonchikov, Ramil Kuleev, Iskander Bariev, Bulat Ibragimov

    Published 2025-01-01
    “…To achieve this, data from about 800 X-ray images labeled by four practicing radiologists was utilized. …”
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    High-Performance Germanium P-I-N Photodiodes for High-Speed, Hard X-Ray Imaging by Ziang Guo, Sergei Mistyuk, Arthur Carpenter, Charles E. Hunt

    Published 2024-01-01
    “…Design, fabrication, and measurement of vertical Germanium (Ge) Photodiodes for highspeed, hard X-Ray imaging is presented. The devices used atmospheric-pressure epitaxial absorption layers, varying absorption layer thicknesses (10 &#x2013; 245 <inline-formula> <tex-math notation="LaTeX">$\mu$ </tex-math></inline-formula>m) over bulk-Ge substrates, fabricated in various sizes. …”
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    Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

    Published 2024-09-01
    “…Nevertheless, differentiating between the feature values of X-ray images for pipeline girth weld defects and noise poses a considerable challenge. …”
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    HVAngleEst: A Dataset for End-to-end Automated Hallux Valgus Angle Measurement from X-Ray Images by Qiong Wang, Dongdong Ji, Junhu Wang, Liang Liu, Xinquan Yang, Yan Zhang, Jingqi Liang, Peilong Liu, Hongmou Zhao

    Published 2025-05-01
    “…HVAngleEst comprises 1,382 X-ray images from 1,150 patients and includes comprehensive annotations, such as foot localization, hallux valgus angles, and line segments for each phalanx. …”
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    Article
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    Deep learning-based pneumonia detection from chest X-ray images using a convolutional neural network by Мухриддин Араббоев, Шохрух Бегматов

    Published 2025-08-01
    “…This study proposes a deep learning-based approach using a custom Convolutional Neural Network (CNN) for the binary classification of chest X-ray images into “Pneumonia” and “Normal” categories. …”
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