Hepatocellular Carcinoma Immune Microenvironment Analysis: A Comprehensive Assessment with Computational and Classical Pathology.

Caner Ercan Salvatore Lorenzo Renne Luca Di Tommaso Charlotte C K Ng Salvatore Piscuoglio Luigi M Terracciano

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2024)

Our DL-based tool can accurately analyse and quantify immune cells on IHC-stained slides of HCC. The microscopical classification of the TIME can stratify HCCs according to the patient prognosis. Needle biopsies can provide valuable insights for TIME-related prognostic prediction, albeit with specific constraints. The computational pathology tool provides a new way to study the HCC TIME.

Keyphrases

ultrasound guided
stem cells
machine learning
deep learning
case report
drug induced