Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization

Abstract

A cascading model of CNNs can detect urinary tract stones on unenhanced CT scans with a high accuracy (AUC, 0.954). Performance and generalization of CNNs across scanners can be enhanced by using transfer learning with datasets enriched with labeled medical images.© RSNA, 2019<i>Supplemental material is available for this article.</i> <b>:</b> <b>An earlier incorrect version appeared online. This article was corrected on August 6, 2019.</b>