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PseudoSegRT: efficient pseudo-labelling for intraoperative OCT segmentation.

Yu HuangRiaz AsariaDanail StoyanovMarinko SarunicSophia Bano
Published in: International journal of computer assisted radiology and surgery (2023)
Our approach demonstrates the potential of using pseudo-labelling strategies in real-time OCT segmentation tasks to guide robotic systems. Furthermore, the accelerated GPU inference of our network is highly promising for segmenting OCT images and guiding the position of a surgical tool (e.g. needle) for sub-retinal injections.
Keyphrases
  • optical coherence tomography
  • diabetic retinopathy
  • convolutional neural network
  • deep learning
  • optic nerve
  • ultrasound guided
  • working memory
  • patients undergoing
  • human health