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:EN
Published: Frontiers Media S.A. 2021
Subjects:
systematic review
artificial intelligence
machine learning
radiotherapy
head and neck cancer
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Online Access:https://doaj.org/article/38f4a301a277435aba628cbb701dbb26
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https://doaj.org/article/38f4a301a277435aba628cbb701dbb26

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