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

BACKGROUND AND PURPOSE: Machine 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...

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Detalles Bibliográficos
Autores principales: Volpe, Stefania, Pepa, Matteo, Zaffaroni, Mattia, Bellerba, Federica, Santamaria, Riccardo, Marvaso, Giulia, Isaksson, Lars Johannes, Gandini, Sara, Starzyńska, Anna, Leonardi, Maria Cristina, Orecchia, Roberto, Alterio, Daniela, Jereczek-Fossa, Barbara Alicja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637856/
https://www.ncbi.nlm.nih.gov/pubmed/34869010
http://dx.doi.org/10.3389/fonc.2021.772663

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637856/
https://www.ncbi.nlm.nih.gov/pubmed/34869010
http://dx.doi.org/10.3389/fonc.2021.772663

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