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Academic Journal

Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules.

Authors : Hanaoka, Shouhei¹ (AUTHOR) ; Nomura, Yukihiro^2,3 (AUTHOR); Hayashi, Naoto² (AUTHOR)

Source: PLoS ONE. 12/12/2024, Vol. 19 Issue 12, p1-21. 21p.

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Academic Journal

Sub-micrometre focusing of intense 100 keV X-rays with multilayer reflective optics.

Authors : Takahisa Koyama^1,2 ; Hirokatsu Yumoto^1,2; Takanori Miura¹

Source: Journal of Synchrotron Radiation. Mar2024, Vol. 31 Issue 2, p276-281. 6p.

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Academic Journal

Emission intensities of gamma- and X-rays in the 153Sm decay.

Authors : Laranjeira, A. S.¹ (AUTHOR) ; Delgado, J. U.¹ (AUTHOR); da Silva, C. J.¹ (AUTHOR)

Source: Journal of Radioanalytical & Nuclear Chemistry. May2024, Vol. 333 Issue 5, p2291-2296. 6p.

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Academic Journal

A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis.

Authors : El-Ghany, Sameh Abd¹ (AUTHOR) ; Elmogy, Mohammed² (AUTHOR) ; A. Mahmood, Mahmood¹ (AUTHOR)

Source: Diagnostics (2075-4418). Dec2024, Vol. 14 Issue 23, p2736. 36p.

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Academic Journal

Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays.

Authors : Anderson, Pamela G.¹ (AUTHOR) ; Tarder-Stoll, Hannah¹ (AUTHOR); Alpaslan, Mehmet¹ (AUTHOR)

Source: Scientific Reports. 10/24/2024, Vol. 14 Issue 1, p1-13. 13p.

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Academic Journal

Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings.

Authors : Miró Catalina, Queralt^1,2,3 (AUTHOR); Vidal-Alaball, Josep^1,2,4 (AUTHOR) ; Fuster-Casanovas, Aïna^1,2 (AUTHOR)

Source: Scientific Reports. 3/3/2024, Vol. 14 Issue 1, p1-11. 11p.

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Academic Journal

Automated Tuberculosis Classification with Chest X-Rays Using Deep Neural Networks-Case Study: Nigerian Public Health.

Authors : Abubakar, Muhammad Zaharaddeen¹; Kaya, Mustafa¹ ; Eris, Mustafa¹

Source: Turkish Journal of Science & Technology. 2024, Vol. 19 Issue 1, p55-64. 10p.

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Conference

50th anniversary and recent decade achievements of the Hokkaido University Neutron Source (HUNS) facility with cold-fast neutrons and high-energy electrons/X-rays.

Authors : Sato, Hirotaka¹ ; Kamiyama, Takashi¹; Nagakura, Hiroki¹

Source: EPJ Web of Conferences. 6/28/2024, Vol. 298, p1-8. 8p.

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Academic Journal

A study of structural effects on the focusing and imaging performance of hard X‐rays with 20–30 nm zone plates.

Authors : Tong, Xujie¹ (AUTHOR); Dhamgaye, Vishal² (AUTHOR) ; Chen, Qiucheng¹ (AUTHOR)

Source: Journal of Synchrotron Radiation. Nov2024, Vol. 31 Issue 6, p1457-1463. 7p.

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Academic Journal

Use of Preoperative Lumbosacral Spine X-rays in Developing a Predictor Score for Facilitating Neuraxial Blocks in Patients undergoing Lower Limb Arthroplasty Surgeries: A Cross-sectional Study.

Authors : PANDITRAO, MINNU¹; DEVI, USHA²; BANSAL, SHILPA³

Source: Journal of Clinical & Diagnostic Research. Oct2024, Vol. 18 Issue 10, p6-11. 6p.

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Search Results

Your Filters

Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules.

Sub-micrometre focusing of intense 100 keV X-rays with multilayer reflective optics.

Emission intensities of gamma- and X-rays in the 153Sm decay.

A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis.

Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays.

Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings.

Automated Tuberculosis Classification with Chest X-Rays Using Deep Neural Networks-Case Study: Nigerian Public Health.

50th anniversary and recent decade achievements of the Hokkaido University Neutron Source (HUNS) facility with cold-fast neutrons and high-energy electrons/X-rays.

A study of structural effects on the focusing and imaging performance of hard X‐rays with 20–30 nm zone plates.

Use of Preoperative Lumbosacral Spine X-rays in Developing a Predictor Score for Facilitating Neuraxial Blocks in Patients undergoing Lower Limb Arthroplasty Surgeries: A Cross-sectional Study.

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