Automating the Paris System for urine cytopathology-A hybrid deep-learning and morphometric approach.
Journal:
Cancer cytopathology
Published Date:
Feb 1, 2019
Abstract
BACKGROUND: The Paris System for Urine Cytopathology (the Paris System) has succeeded in making the analysis of liquid-based urine preparations more reproducible. Any algorithm seeking to automate this system must accurately estimate the nuclear-to-cytoplasmic (N:C) ratio and produce a qualitative "atypia score." The authors propose a hybrid deep-learning and morphometric model that reliably automates the Paris System.