Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers

Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers

Introduction: An increasing number of parameters can be considered when making decisions in oncology. Tumor characteristics can also be extracted from imaging through the use of radiomics and add to this wealth of clinical data. Machine learning can encompass these parameters and thus enhance clinic...

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Bibliographic Details
Main Authors: Paul Giraud, Philippe Giraud, Anne Gasnier, Radouane El Ayachy, Sarah Kreps, Jean-Philippe Foy, Catherine Durdux, Florence Huguet, Anita Burgun, Jean-Emmanuel Bibault
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Oncology
Subjects:
radiomics
machine learning in head and neck cancer
predictive medicine
radiation oncology
treatment planning
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.00174/full

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https://www.frontiersin.org/article/10.3389/fonc.2019.00174/full

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