Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers
Abstract
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 clinical decision as well as radiotherapy workflow. Methods: We performed a description of machine learning applications at each step of treatment by...
Paper Details
Title
Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers
Published Date
Mar 27, 2019
Journal
Volume
9
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