Login / Signup

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 Matsopoulos
Published 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.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • early stage
  • radiation therapy
  • radiation induced
  • locally advanced