Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist

Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist

Background and PurposeMachine learning (ML) is emerging as a feasible approach to optimize patients’ care path in Radiation Oncology. Applications include autosegmentation, treatment planning optimization, and prediction of oncological and toxicity outcomes. The purpose of this clinically oriented s...

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Bibliographic Details
Main Authors: Stefania Volpe, Matteo Pepa, Mattia Zaffaroni, Federica Bellerba, Riccardo Santamaria, Giulia Marvaso, Lars Johannes Isaksson, Sara Gandini, Anna Starzyńska, Maria Cristina Leonardi, Roberto Orecchia, Daniela Alterio, Barbara Alicja Jereczek-Fossa
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Oncology
Subjects:
systematic review
artificial intelligence
machine learning
radiotherapy
head and neck cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.772663/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.772663/full

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