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Common carotid segmentation in 18 F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based and manual method.

Reza PiriYaran HamakanAsk VangLars EdenbrandtMåns LarssonOlof EnqvistOke GerkePoul Flemming Høilund-Carlsen
Published in: Clinical physiology and functional imaging (2022)
CNN-based segmentation was much faster and provided SUVmean values virtually identical to manually obtained ones, suggesting CNN-based analysis as a promising substitute of slow and cumbersome manual processing.
Keyphrases
  • convolutional neural network
  • artificial intelligence
  • deep learning
  • pet ct
  • big data
  • machine learning
  • optic nerve
  • positron emission tomography
  • computed tomography
  • magnetic resonance imaging
  • dual energy