Identifying urethral strictures using machine learning: a proof-of-concept evaluation of convolutional neural network model Article

International Collaboration

author list

  • Kim, Jin Kyu; McCammon, Kurt; Robey, Catherine; Castillo, Marvin; Gomez, Odina; Pua, Patricia Jarmin L.; Pile, Francis; See, Manuel; Rickard, Mandy; Lorenzo, Armando J.; Chua, Michael E.

publication date

  • November 9, 2022

webpage

published in

category

keywords

  • Classification
  • Identification
  • Machine learning
  • Retrograde urethrogram
  • Urethral stricture