Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs

Machine learning (ML) has the potential to revolutionize the field of radiation oncology, but there is much work to be done. In this article, we approach the radiotherapy process from a workflow perspective, identifying specific areas where a data-centric approach using ML could improve the quality...

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Bibliographic Details
Main Authors: Mary Feng, Gilmer Valdes, Nayha Dixit, Timothy D. Solberg
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Oncology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fonc.2018.00110/full