Training generative adversarial networks for optical property mapping using synthetic image data
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DOI: 10.1364/boe.458554
Abstract: We demonstrate the training of a generative adversarial network (GAN) for the prediction of optical property maps (scattering and absorption) using spatial frequency domain imaging (SFDI) image data sets that are generated synthetically with a… read more here.
Keywords: optical property; training generative; flat samples; generative adversarial ... See more keywords