Open AccessPrediction of the composition of urinary stones using deep learning
Author(s) -
Ui Seok Kim,
Hyo Sang Kwon,
Wonjong Yang,
WonChul Lee,
Chang-Won Choi,
Jong Keun Kim,
Seong Ho Lee,
Dohyoung Rim,
Jun Hyun Han
Publication year - 2022
Publication title -
investigative and clinical urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.653
H-Index - 14
eISSN - 2466-054X
pISSN - 2466-0493
DOI - 10.4111/icu.20220062
Subject(s) - medicine , struvite , calcium oxalate , uric acid , composition (language) , urinary system , artificial intelligence , biochemistry , phosphate , computer science , chemistry , linguistics , philosophy
This study aimed to predict the composition of urolithiasis using deep learning from urinary stone images.