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Pre-Processing Method for Contouring the Uptake Levels of [18F] FDG for Enhanced Specificity of PET Imaging of Solitary Hypermetabolic Pulmonary Nodules.

Piotr SzumowskiArtur SzklarzewskiŁukasz ŻukowskiSaeid AbdelrazekMałgorzata MojsakKatarzyna PorębskaEwa SierkoJanusz Myśliwiec
Published in: Journal of clinical medicine (2021)
Application of the PCUL-FDG method enhances the specificity of PET in imaging solitary hypermetabolic pulmonary nodules. Images obtained using the PCUL-FDG method can serve as point of departure for automatic analysis of PET data based on convolutional neural networks.
Keyphrases
  • pet imaging
  • convolutional neural network
  • positron emission tomography
  • deep learning
  • pet ct
  • pulmonary hypertension
  • computed tomography
  • high resolution
  • machine learning
  • weight loss
  • mass spectrometry