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

Joshua J Levy,Natt Chan,Jonathan D Marotti,Nathalie J Rodrigues,A Aziz O Ismail,Darcy A Kerr,Edward J Gutmann,Ryan E Glass,Caroline P Dodge,Arief A Suriawinata,Brock C Christensen,Xiaoying Liu,Louis J Vaickus

Cancer cytopathology（2023）

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摘要

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.

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关键词

artificial intelligence, bladder cancer, deep learning, longitudinal, machine learning, recurrence, The Paris System, urine cytology

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