Deep Learning of Videourodynamics to Classify Bladder Dysfunction Severity in Patients With Spina Bifida REPLY

被引：0
|
作者：
Weaver, John K. [1 ]
Martin-Olenski, Madalyne [2 ]
Logan, Joseph [2 ,3 ]
Broms, Reiley [2 ]
Antony, Maria [2 ]
Van Batavia, Jason [2 ]
Weiss, Dana A. [2 ]
Long, Christopher J. [2 ]
Smith, Ariana L. [4 ]
Zderic, Stephen A. [2 ]
Huang, Jing [5 ,6 ]
Fan, Yong [7 ]
Tasian, Gregory E. [2 ,5 ,6 ]
机构：
[1] Case Western Rese Univ, Dept Urol, Rainbow Babies & Childrens Hosp, Sch Med, Cleveland, OH USA
[2] Childrens Hosp Philadelphia, Div Pediat Urol, Philadelphia, PA USA
[3] Childrens Hosp Philadelphia, Translat Res Informat Grp, Philadelphia, PA USA
[4] Univ Penn, Perelman Sch Med, Div Urol, Philadelphia, PA USA
[5] Childrens Hosp Philadelphia, Ctr Pediat Clin Effectiveness, Philadelphia, PA USA
[6] Univ Penn, Perelman Sch Med, Dept Biostat Epidemiol & Informat, Philadelphia, PA USA
[7] Univ Penn, Perelman Sch Med, Dept Radiol, Philadelphia, PA USA
来源：
JOURNAL OF UROLOGY | 2023年 / 209卷 / 05期
关键词：
D O I：
10.1097/JU.0000000000003267.03
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：
引用
收藏
页码：1003 / 1003
页数：1
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