Convolutional Neural Network-Based Model to Differentiate Distal Ureteral Stones, Vascular Calcification, and Normal Cases
This study developed and evaluated a convolutional neural network model trained on non-contrast CT images that achieved high accuracy (94.6%) and excellent discriminative performance in differentiating distal ureteral stones, vascular calcifications, and normal cases to assist radiologists in clinical decision-making.