Prediction of the composition of urinary stones using deep learning
Purpose: This study aimed to predict the composition of urolithiasis using deep learning from urinary stone images.Materials and Methods: stirrup extender western We classified 1,332 stones into 31 classes according to the stone composition.The top 4 classes with a frequency of 110 or more (class 1: calcium oxalate monohydrate [COM] 100%, class 2: