Original paper
Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy
Abstract
In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and assessment schemes are essential. In recent years, the growing interest toward artificial intelligence and machine learning (ML) within the science community has led to the implementation of innovative tools in RT. Several researchers have demonstrated the high performance of ML-based models in predicting toxicity, but the application of these approaches...
Paper Details
Title
Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy
Published Date
Jun 5, 2020
Journal
Volume
10
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History