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

“…This requires a program that analyzes X-ray images. The methods known today, described in scientific and applied literature, are not sufficiently automated. …”
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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

Subjects: “…microfocus x-ray…”
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Advancing X-ray quantum imaging through Monte-Carlo simulations by Pakhshan Espoukeh, Gabriel Biener, James Baxter, Andrew Aquila, Peter Schwander

Subjects: “…Low-dose Imaging…”
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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

“…Abstract Scintillators convert X-ray energy into visible light and are critical for imaging technologies. …”
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Quantum optimization algorithms for CT image segmentation from X-ray data by Kyungtaek Jun, Hyunju Lee

“…This algorithm segments CT images by minimizing the difference between a sinogram in a superposition state with qubits, obtained using the mathematical projection including the Radon transform, and the experimentally acquired sinogram from X-ray images for various angles. …”
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Near‐Freezing‐Temperature Golgi Neuronal Staining for X‐ray Imaging of Human Brain by Feng Zhou, Qiaowei Tang, Xin Yan, Chao Ma, Yu Zhang, Jichao Zhang, Qian Li, Lihua Wang, Jun Hu, Xiaoqing Cai, Jiang Li, Ying Zhu, Chunhai Fan

“…Abstract Achieving detailed neuronal structural information in large‐volume brain tissue has been a longstanding challenge in human brain imaging. A key obstacle arises from the trade‐off between staining efficiency and tissue autolysis. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

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A comprehensive deep learning approach to improve enchondroma detection on X-ray images by Ayhan Aydin, Caner Ozcan, Safak Aydın Simsek, Ferhat Say

“…In this study, authentic X-ray radiographs of patients were obtained following ethical approval and subjected to preprocessing. …”
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Realistic wave-optics simulation of X-ray dark-field imaging at a human scale by Yongjin Sung, Brandon Nelson, Rajiv Gupta

Subjects: “…X-ray dark-field imaging…”
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Wide‐Bandgap Rare‐Earth Iodate Single Crystals for Superior X‐Ray Detection and Imaging by Xieming Xu, Fang Wang, Weiwei Xu, Hao Lu, Lingfei Lv, Hongyuan Sha, Xiaoming Jiang, Shaofan Wu, Shuaihua Wang

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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

“…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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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network by Shouyi Yang, Yongxin Wu

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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

“…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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Enhancing Medical X-Ray Image Classification with Neutrosophic Set Theory and Advanced Deep Learning Models by Walid Abdullah

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Three-dimensional nano-structure investigation on a thermo- and electrical conductive adhesive via X-ray imaging by Minghao Yin, Dadong Wang, Yan Zhong, Ian Robinson, Bo Chen

“…In this work, the inner structure of a silver adhesive applied in splicing electronic components was investigated to reveal the mechanisms and factors of its thermal and electrical conductance. Transmission X-ray microscopy (TXM) with nanoscale resolution (for three-dimensional (3D) imaging) was used to characterize the samples. …”
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The use of pretrained neural networks for solving the problem of reverse searching of X-ray images of prohibited items and substances by A. K. Volkov, L. V. Mironova, S. E. Potapova

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Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method by Jian Pan, Yuangang Wu, Zhenchao Tang, Kaibo Sun, Mingyang Li, Jiayu Sun, Jiangang Liu, Jie Tian, Bin Shen

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X-ray diagnosis of juvenile chronic oligoarthritis by Aleksei N. Kozhevnikov, Nina A. Pozdeeva, Mikhail A. Konev, Olga N. Maricheva, Konstantin A. Afonichev, Gennadiy A. Novik

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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization by Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

“…In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. …”
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COMPARISON OF THE DIAGNOSTIC ACCURACY OF MAGNETIC RESONANCE IMAGING AND ULTRASOUND EXAMINATION FOR X-RAY NEGATIVE STAGE OF KNEE JOINTS OSTEOARTHRITIS by M. V. Makarova, M. Yu. Valkov

“…To compare of the diagnostic accuracy of ultrasonography (US) with magnetic resonance imaging (MRI) as a reference in the assessment of pathological changes of the soft tissues at the X-ray negative stage of knee joint osteoarthritis (OA).Materials and methods. …”
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