Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods

Abstract

Digital holographic flow cytometry, aided by machine learning and deep learning algorithms, was employed to screen for urothelial carcinoma cells in urine samples with varying osmotic pressures.