Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning Approach.
Vasiliki IliadouIoannis KakkosPantelis KaraiskosVasileios KoulouliasKalliopi PlatoniAnna ZygogianniGeorge K MatsopoulosPublished in: Cancers (2022)
The use of machine learning algorithms offers promising perspectives for fast and reliable early prediction of large volumetric deviations as a result of RT treatment, exploiting hidden patterns in the overall anatomical characteristics.