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

Anushri ParakhHyunkwang LeeJeong Hyun LeeBrian H EisnerDushyant V SahaniSynho Do
Published in: Radiology. Artificial intelligence (2019)
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, 2019Supplemental material is available for this article. : An earlier incorrect version appeared online. This article was corrected on August 6, 2019.
Keyphrases
  • convolutional neural network
  • urinary tract
  • dual energy
  • deep learning
  • computed tomography
  • contrast enhanced
  • image quality
  • healthcare
  • magnetic resonance
  • loop mediated isothermal amplification