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Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuracies.

Satomi KawamotoZhuotun ZhuLinda C ChuAmmar A JavedBenedict Kinny-KösterChristopher L WolfgangRalph H HrubanKenneth W KinzlerDaniel Fadaei FouladiAlejandra BlancoShahab ShayestehElliot K Fishman
Published in: Abdominal radiology (New York) (2023)
Pancreas DNN segmentation is accurate in a majority of cases, however, minor manual editing may be necessary; particularly in abnormal pancreas.
Keyphrases
  • neural network
  • deep learning
  • convolutional neural network
  • crispr cas
  • computed tomography
  • image quality
  • magnetic resonance imaging
  • contrast enhanced
  • dual energy
  • magnetic resonance
  • mass spectrometry