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2025 Vol.6, Issue 3 Preview Page

Review article

30 September 2025. pp. 139-145
Abstract
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References
1

Yoon MS et al., Comparison of actual and automated CT measurements of urinary stone size: a phantom study, Urolithiasis, 2025

10.1007/s00240-025-01708-140216636PMC11991932
2

Jang DH et al., Kidney, ureter, and urinary bladder segmentation based on non-contrast enhanced computed tomography images using modified U-Net, Sci Rep, 2024

10.1038/s41598-024-66045-638961140PMC11222420
3

Parakh A et al., Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization, Radiol Artif Intell, 2019

10.1148/ryai.201918006633937795PMC8017404
4

Jendeberg J et al., Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric, Eur Radiol, 2018

10.1007/s00330-017-5242-929368161PMC5938294
Information
  • Publisher :The Association of Korean Urologists
  • Publisher(Ko) :대한비뇨의학과의사회
  • Journal Title :비뇨의학 Urology Digest
  • Volume : 6
  • No :3
  • Pages :139-145