Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning Approach
Background: During RT cycles, the tumor response pattern could affect tumor coverage and may lead to organs at risk of overdose. As such, early prediction of significant volumetric changes could therefore reduce potential radiation-related adverse effects. Nevertheless, effective machine learning ap...
Main Authors: | Vasiliki Iliadou, Ioannis Kakkos, Pantelis Karaiskos, Vassilis Kouloulias, Kalliopi Platoni, Anna Zygogianni, George K. Matsopoulos |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/14/15/3573 |
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