Abstract

Two-layered diffuse reflectance and fluorescence Monte Carlo (MC) models are developed to extract layer-specific intrinsic fluorescence spectra and intensity of in-vivo cervical mucosa. Artificial neural networks replace MC simulations to efficiently solve the inverse problem.

© 2020 The Author(s)

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Supplementary Material (1)

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