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Conferences > Translational > 2020 > JW3A > JW3A.6

Extracting Autofluorescence Spectral Shape and Intensity from Uterine Cervical Mucosa Using Monte-Carlo Based Two-layered Tissue Models

Chong-Ian Mok and Kung-Bin Sung

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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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