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Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

Sara MocciaLeonardo S MattosIlaria PatriniMichela RupertiNicolas PotéFederica DonderoFrançois CauchyAilton SepulvedaOlivier SoubraneElena De MomiAlberto DiasproManuela Cesaretti
Published in: International journal of computer assisted radiology and surgery (2018)
This research represents the first attempt to use machine learning and automatic texture analysis of RGB images from ubiquitous smartphone cameras for the task of graft HS assessment. The results suggest that is a promising strategy to develop a fully automatic solution to assist surgeons in HS assessment inside the OR.
Keyphrases
  • machine learning
  • deep learning
  • magnetic resonance imaging
  • contrast enhanced
  • high fat diet
  • optical coherence tomography