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Automatic atlas-based liver segmental anatomy identification for hepatic surgical planning.

Omar Ibrahim AlirrAshrani Aizzuddin Abd Rahni
Published in: International journal of computer assisted radiology and surgery (2019)
Automatic liver segmental anatomy identification assists the surgeons for liver analysis in a robust and reproducible way. The anatomic segments with other liver structures construct a 3D visualization tool that is used by the surgeons to study clearly the liver anatomy and the extension of the cancer inside the liver.
Keyphrases
  • deep learning
  • squamous cell carcinoma
  • high resolution
  • mass spectrometry
  • young adults
  • neural network