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Comment on "Deep learning computer vision algorithm for detecting kidney stone composition".
He, ZhiCan; An, LingYue; Chang, ZhengLin; Wu, WenQi.
Affiliation
  • He Z; 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.
  • An L; 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.
  • Chang Z; 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.
  • Wu W; 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.
World J Urol ; 39(1): 291, 2021 01.
Article in En | MEDLINE | ID: mdl-32239266
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Calculi / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: World J Urol Year: 2021 Type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Calculi / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: World J Urol Year: 2021 Type: Article Affiliation country: China