Comment on "Deep learning computer vision algorithm for detecting kidney stone composition".

Journal: World journal of urology

Published Date: Apr 1, 2020

No abstract available for this article.

ZhiCan He

Guangdong Key Laboratory of Urology, Department of Urology, Minimally Invasive Surgery Center, Guangzhou Institute of Urology, The First Affliated Hospital of Guangzhou Medical University, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
LingYue An

Guangdong Key Laboratory of Urology, Department of Urology, Minimally Invasive Surgery Center, Guangzhou Institute of Urology, The First Affliated Hospital of Guangzhou Medical University, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
ZhengLin Chang

Guangdong Key Laboratory of Urology, Department of Urology, Minimally Invasive Surgery Center, Guangzhou Institute of Urology, The First Affliated Hospital of Guangzhou Medical University, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
WenQi Wu

Guangdong Key Laboratory of Urology, Department of Urology, Minimally Invasive Surgery Center, Guangzhou Institute of Urology, The First Affliated Hospital of Guangzhou Medical University, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China. wwqwml@163.com.

Algorithms Computers Deep Learning Humans Kidney Calculi Neural Networks, Computer

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