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Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning.

Jaakko SahlstenJoel JaskariKareem A WahidSara AhmedEnrico GlereanRenjie HeBenjamin H KannAntti Aarni MäkitieClifton David FullerMohammed A NaserKimmo Kaski
Published in: Communications medicine (2024)
Our BDL-based analysis provides a first-step towards more widespread implementation of uncertainty quantification in OPC GTVp segmentation.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • papillary thyroid
  • primary care
  • machine learning
  • healthcare
  • quality improvement
  • squamous cell carcinoma
  • lymph node metastasis