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Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections.

Grzegorz ChlebusHans MeineSmita ThodukaNasreddin AbolmaaliBram van GinnekenHorst Karl HahnAndrea Schenk
Published in: PloS one (2019)
The quality of automatic liver segmentations is on par with those from manual routines. Using automatic liver masks in the clinical workflow could lead to a reduction of segmentation time and a more consistent liver volume estimation across different observers.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning
  • magnetic resonance
  • computed tomography
  • quality improvement
  • contrast enhanced