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Deep-learning-based cross-modality translation from Stokes image to bright-field contrast.

Shilong WeiLu SiTongyu HuangShan DuYue YaoYang DongHui Ma
Published in: Journal of biomedical optics (2023)
By comparing the cross-modality translation performance with MM images, we found that the Stokes images, with the advantages of faster acquisition and independence from light intensity and image registration, can be well translated to bright-field images.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • magnetic resonance
  • high intensity
  • optical coherence tomography