Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models

John, Lee;Vanginderdeuren, Alyssa;Huet-Dastarac, Margerie;Barragan Montero, Ana Maria
(2021) ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning — Location: Online event (Bruges, Belgium) (6.October.2021)

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Authors
  • John, LeeUCLouvain
    Author
  • Vanginderdeuren, AlyssaUCLouvain
    Author
  • Huet-Dastarac, MargerieUCLouvain
    Author
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Citations

John, L., Vanginderdeuren, A., Huet-Dastarac, M., & Barragan Montero, A. M. (2021). Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Published. ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Online event (Bruges, Belgium). https://doi.org/10.14428/esann/2021.es2021-117 (Original work published 2021)