Identifying urethral strictures using machine learning: a proof-of-concept evaluation of convolutional neural network model

被引:0
作者
Jin Kyu Kim
Kurt McCammon
Catherine Robey
Marvin Castillo
Odina Gomez
Patricia Jarmin L. Pua
Francis Pile
Manuel See
Mandy Rickard
Armando J. Lorenzo
Michael E. Chua
机构
[1] University of Toronto,Division of Urology, Department of Surgery
[2] Hospital for Sick Children,Division of Urology
[3] Eastern Virginia Medical School,Department of Urology
[4] St. Luke’s Medical Centre,Institute of Urology
[5] St. Luke’s Medical Centre,Section of Pediatric Imaging, Institute of Radiology
来源
World Journal of Urology | 2022年 / 40卷
关键词
Machine learning; Identification; Classification; Urethral stricture; Retrograde urethrogram;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:3107 / 3111
页数:4
相关论文
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