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Hyperspectral imaging with deep learning for quantification of tissue hemoglobin, melanin, and scattering.

Thomas T LivecchiSteven L JacquesHrebesh M SubhashMark C Pierce
Published in: Journal of biomedical optics (2024)
finger occlusion and gingival abrasion studies demonstrate the ability of this approach to rapidly generate high-resolution images of tissue component concentrations from a hyperspectral dataset acquired from human subjects.
Keyphrases
  • high resolution
  • deep learning
  • endothelial cells
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • induced pluripotent stem cells
  • pluripotent stem cells
  • red blood cell