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Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Masahide SaitoNoriyuki KadoyaYuto KimuraHikaru NemotoRyota TozukaKeiichi JinguHiroshi Onishi
Published in: Journal of applied clinical medical physics (2024)
DL-based dose prediction using the AIVOT prototype software in HNC patients yielded promising results. While additional contours may enhance prediction accuracy, their impact on dose mimicking is relatively small.
Keyphrases
  • end stage renal disease
  • deep learning
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • peritoneal dialysis
  • patient reported