Deep learning computer vision algorithm for detecting kidney stone composition

Objectives To assess the recall of a deep learning (DL) method to automatically detect kidney stones composition from digital photographs of stones. Materials and Methods A total of 63 human kidney stones of varied compositions were obtained from a stone laboratory including calcium oxalate monohydrate (COM), uric acid (UA), magnesium ammonium phosphate hexahydrate (MAPH/struvite), calcium hydrogen phosphate dihydrate (CHPD/brushite), and...