Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning–based image preprocessing technique

Abstract

Markers established through techniques to separate cell clusters may have wider applicability for the design and implementation of machine learning approaches for urine cytology assessment.