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Semantic segmentation of gonio-photographs via adaptive ROI localisation and uncertainty estimation.

Andrea PeroniAnna PaviottiMauro CampigottoLuís Abegão PintoCarlo Alberto CutoloJacintha GongSirjhun PatelCaroline CobbStewart GillanAndrew J TathamEmanuele Trucco
Published in: BMJ open ophthalmology (2021)
The proposed model improves the only previously published work on gonio-photographs segmentation and may be a valid support for the automatic processing of these images to evaluate local tissue morphology. Uncertainty estimation is expected to facilitate acceptance of this system in clinical settings.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning
  • randomized controlled trial
  • optical coherence tomography