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Classification and volumetric study of the sphenoid sinus on MDCT images.

Busra PirincZeliha FazliogullariIbrahim GulerNadire Unver DoganIsmihan Ilknur UysalAhmet Kagan Karabulut
Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2019)
The morphology and morphometry of the SS show individual differences. These anatomic variations are important for decision making and application for surgical interventions (especially transsphenoidal surgery).
Keyphrases
  • deep learning
  • decision making
  • minimally invasive
  • machine learning
  • coronary artery bypass
  • convolutional neural network
  • optical coherence tomography
  • acute coronary syndrome
  • surgical site infection