Deep-Learning Segmentation of Urinary Stones in Noncontrast Computed Tomography-Reference-Cited by-同舟云学术

Deep-Learning Segmentation of Urinary Stones in Noncontrast Computed Tomography

Published:2023-05-01 Issue:5 Volume:37 Page:595-606
ISSN:0892-7790
Container-title:Journal of Endourology
language:en
Short-container-title:Journal of Endourology

Author:

Kim Young In¹,Song Sang Hoon²^ORCID,Park Juhyun²,Youn Hye Jung³,Kweon Jihoon³,Park Hyung Keun²

Affiliation:

1. Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

2. Department of Urology, and Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

3. Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Publisher

Mary Ann Liebert Inc

Subject

Urology

Link

https://www.liebertpub.com/doi/pdf/10.1089/end.2022.0722

Reference32 articles.

1. Kidney Stone Disease: An Update on Current Concepts

2. An empirical study on hospital-based prevention of recurrent urinary stone disease in Germany

3. Burden of Urolithiasis: Trends in Prevalence, Treatments, and Costs

4. Radiological Imaging of Patients With Suspected Urinary Tract Stones: National Trends, Diagnoses, and Predictors

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