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Reconstruction of visible-OCT images based on cGAN using discontinuous RGB superluminescent diode light source

Reconstruction of visible-OCT images based on cGAN using discontinuous RGB superluminescent diode... A conditional generative adversarial network (cGAN) was developed to recover the depth resolution of optical coherence tomography images generated by a discontinuous spectrum in the visible wavelength range. Our approach was demonstrated on two phantoms and ex-vivo mouse ear tissue. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Progress in Biomedical Optics and Imaging - Proceedings of SPIE SPIE

Reconstruction of visible-OCT images based on cGAN using discontinuous RGB superluminescent diode light source

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Publisher
SPIE
Copyright
COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
ISSN
1605-7422
DOI
10.1117/12.2616048
Publisher site
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Abstract

A conditional generative adversarial network (cGAN) was developed to recover the depth resolution of optical coherence tomography images generated by a discontinuous spectrum in the visible wavelength range. Our approach was demonstrated on two phantoms and ex-vivo mouse ear tissue.

Journal

Progress in Biomedical Optics and Imaging - Proceedings of SPIE – SPIE

Published: Dec 9, 2021

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