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: 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: COM 80%+struvite 20%, cla

Abstract Background Massively Multiplayer Online Role-Playing Games (MMORPGs) are a very popular and enjoyable leisure activity, and there is a lack of international validated instruments to assess excessive gaming.With the growing number of gamers worldwide, adverse effects (isolation, hospitalizations, excessive use, etc.) are observed foot level