Comparison of Machine-Learning and Deep-Learning Methods for the Prediction of Osteoradionecrosis Resulting From Head and Neck Cancer Radiation Therapy

Comparison of Machine-Learning and Deep-Learning Methods for the Prediction of Osteoradionecrosis Resulting From Head and Neck Cancer Radiation Therapy

Purpose: Deep-learning (DL) techniques have been successful in disease-prediction tasks and could improve the prediction of mandible osteoradionecrosis (ORN) resulting from head and neck cancer (HNC) radiation therapy. In this study, we retrospectively compared the performance of DL algorithms and t...

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Bibliographic Details
Main Authors: Brandon Reber, BS, Lisanne Van Dijk, PhD, Brian Anderson, PhD, Abdallah Sherif Radwan Mohamed, MD, PhD, Clifton Fuller, MD, PhD, Stephen Lai, MD, PhD, Kristy Brock, PhD
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S245210942200269X

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http://www.sciencedirect.com/science/article/pii/S245210942200269X

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