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Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytology.

Joshua J LevyNatt ChanJonathan D MarottiNathalie J RodriguesA Aziz O IsmailDarcy A KerrEdward J GutmannRyan E GlassCaroline P DodgeArief A SuriawinataBrock C ChristensenXiaoying LiuLouis J Vaickus
Published in: Cancer cytopathology (2023)
Further research will clarify how computational methods can be effectively used in high-volume screening programs to improve recurrence detection and complement traditional modes of assessment.
Keyphrases
  • machine learning
  • free survival
  • fine needle aspiration
  • artificial intelligence
  • cross sectional
  • big data
  • real time pcr
  • deep learning