Prediction of chemical composition of urinary stone through deep learning

被引：0
|
作者：
Kim, U. S. [1 ]
Kwon, H. S. [1 ]
Yang, W. J. [1 ]
Lee, W. C. [1 ]
Choi, C., I [1 ]
Kim, J. K. [1 ]
Lee, S. H. [1 ]
Han, J. H. [1 ]
机构：
[1] Hallym Univ, Dontan Sacred Heart Hosp, Dept Urol, Hwaseong, South Korea
来源：
EUROPEAN UROLOGY | 2022年 / 81卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
A0928
引用
收藏
页码：S1366 / S1366
页数：1
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