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Atlas-based liver segmentation for nonhuman primate research.

Jeffrey SolomonNina AiosaDara BradleyMarcelo A CastroSyed RezaChristopher BartosPhilip SayreJi Hyun LeeJennifer SwordMichael R HolbrookRichard S BennettDima A HammoudReed F JohnsonIrwin Feuerstein
Published in: International journal of computer assisted radiology and surgery (2020)
The proposed atlas-based liver segmentation technique is generalizable to various sizes and species of nonhuman primates and facilitates preclinical infectious disease research studies. While the image analysis software used is commercially available and facilities with funding can access the software to perform similar nonhuman primate liver quantitative analyses, the approach can be implemented in open-source frameworks as there is nothing proprietary about these methods.
Keyphrases
  • infectious diseases
  • deep learning
  • convolutional neural network
  • single cell
  • high resolution
  • mesenchymal stem cells
  • bone marrow