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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

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