Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging.
Journal:
Clinical cancer research : an official journal of the American Association for Cancer Research
Published Date:
May 4, 2021
Abstract
PURPOSE: Accurate prognostic stratification of patients with oropharyngeal squamous cell carcinoma (OPSCC) is crucial. We developed an objective and robust deep learning-based fully-automated tool called the DeepPET-OPSCC biomarker for predicting overall survival (OS) in OPSCC using [F]fluorodeoxyglucose (FDG)-PET imaging.