Potential for computer-aided diagnosis using a convolutional neural network algorithm to diagnose fat-poor angiomyolipoma in enhanced computed tomography and T2-weighted magnetic resonance imaging

Int J Urol. 2018 Nov;25(11):978-979. doi: 10.1111/iju.13784. Epub 2018 Aug 22.
No abstract available

MeSH terms

  • Algorithms
  • Angiomyolipoma / diagnostic imaging*
  • Diagnosis, Computer-Assisted*
  • Diagnosis, Differential
  • False Positive Reactions
  • Humans
  • Kidney Neoplasms / diagnostic imaging*
  • Magnetic Resonance Imaging
  • Neural Networks, Computer
  • ROC Curve
  • Tomography, X-Ray Computed