Pure uric acid stone prediction model using the variant coefficient of stone density measured by thresholding 3D segmentation-based methods: A multicenter study-Reference-Cited by-同舟云学术

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Pure uric acid stone prediction model using the variant coefficient of stone density measured by thresholding 3D segmentation-based methods: A multicenter study

Published:2023-10 Issue: Volume:240 Page:107691
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Song Bong-Il^ORCID,Lee Jinny^ORCID,Jung Wonho^ORCID,Kim Bum Soo^ORCID

Funder

Keimyung University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference35 articles.

1. Clinical characteristics of surgically managed patients with asymptomatic renal stones: comparison of patients with symptomatic renal stones;Park;Investig. Clin. Urol.,2023

2. Prediction of the composition of urinary stones using deep learning;Kim;Investig. Clin. Urol.,2022

3. Percutaneous nephrolithotomy versus retrograde intrarenal surgery: a systematic review and meta-analysis;De;Eur. Urol.,2015

4. Renal trauma and the risk of long-term complications in shock wave lithotripsy;Evan;Nephron,1998

5. Lithotripsy and surgery;Lingeman;Semin. Nephrol.,1996

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