Prognostic significance of nucleolar assessment in invasive breast cancer.

Khloud A ElSharawy Michael S Toss Sara Raafat Graham Roy Ball Andrew R Green Mohammed A AleskandaranyLeslie W DaltonEmad A Rakha

Published in: Histopathology (2020)

Quantification of nucleolar prominence in five FVs is a cost-efficient and reproducible morphological feature that can predict BC behaviour and can provide an alternative to pleomorphism to improve BC grading performance.

Keyphrases

machine learning
deep learning
young adults
neural network