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Deep learning-based quantification of PET/CT prostate gland uptake: association with overall survival.

Eirini PolymeriMay SadikReza KabotehPablo BorrelliOlof EnqvistJohannes UlénMattias OhlssonElin TrägårdhMads H PoulsenJane A SimonsenPoul Flemming Hoilund-CarlsenÅse A JohnssonLars Edenbrandt
Published in: Clinical physiology and functional imaging (2019)
Automated PET/CT biomarkers showed good agreement to manual measurements and were significantly associated with overall survival.
Keyphrases
  • pet ct
  • deep learning
  • prostate cancer
  • positron emission tomography
  • machine learning
  • free survival
  • artificial intelligence
  • convolutional neural network
  • high throughput
  • computed tomography