UroAngel: a single-kidney function prediction system based on computed tomography urography using deep learning-Reference-Cited by-同舟云学术

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UroAngel: a single-kidney function prediction system based on computed tomography urography using deep learning

Published:2024-04-16 Issue:1 Volume:42 Page:
ISSN:1433-8726
Container-title:World Journal of Urology
language:en
Short-container-title:World J Urol

Author:

Zheng Qingyuan,Ni Xinmiao,Yang Rui,Jiao Panpan,Wu Jiejun,Yang Song,Chen Zhiyuan,Liu Xiuheng^ORCID,Wang Lei^ORCID

Funder

Hubei Province Key Research and Development Project of China

Hubei Province Central Guiding Local Science and Technology Development Project

the National Medical Education Development Center Medical Simulation Education Research Project of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00345-024-04921-6.pdf

Reference22 articles.

1. Truong LD, Gaber L, Eknoyan G (2011) Obstructive uropathy. Contrib Nephrol 169:311–326. https://doi.org/10.1159/000314578

2. Stevens S (2018) Obstructive kidney disease. Nurs Clin N Am 53(4):569–578. https://doi.org/10.1016/j.cnur.2018.07.007

3. Renard-Penna R, Rocher L, Roy C, André M, Bellin MF, Boulay I, Eiss D, Girouin N, Grenier N, Hélénon O, Lapray JF, Lefèvre A, Matillon X, Ménager JM, Millet I, Ronze S, Sanzalone T, Tourniaire J, Brunelle S, Rouvière O (2020) Imaging protocols for CT urography: results of a consensus conference from the French Society of Genitourinary Imaging. Eur Radiol 30(3):1387–1396. https://doi.org/10.1007/s00330-019-06529-6

4. Keramida G, James JM, Prescott MC, Peters AM (2015) Pitfalls and limitations of radionuclide renal imaging in adults. Semin Nucl Med 45(5):428–439. https://doi.org/10.1053/j.semnuclmed.2015.02.008

5. Iyer RS, Schopp JG, Swanson JO, Thapa MM, Phillips GS (2013) Safety essentials: acute reactions to iodinated contrast media. Can Assoc Radiol J 64(3):193–199. https://doi.org/10.1016/j.carj.2011.12.014

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