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Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.

Farid OuhmichVincent AgnusVincent NobletFabrice HeitzPatrick Pessaux
Published in: International journal of computer assisted radiology and surgery (2019)
The proposed cascaded multiphase architecture showed promising performances for the automatic segmentation of liver tissues, allowing to reliably estimate the necrosis rate, a valuable imaging biomarker of the clinical outcome.
Keyphrases
  • convolutional neural network
  • deep learning
  • computed tomography
  • contrast enhanced
  • dual energy
  • high resolution
  • machine learning
  • gene expression
  • image quality
  • positron emission tomography
  • magnetic resonance