Extracting autofluorescence spectral shape and intensity from uterine cervical mucosa using monte-carlo based two-layered tissue models
Journal
Optics InfoBase Conference Papers
Journal Volume
Part F178-Translational-2020
Date Issued
2020
Author(s)
Mok C.-I
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. ? OSA 2020 ? 2020 The Author(s)
Subjects
Fluorescence; Monte Carlo methods; Photonics; Autofluorescence; Diffuse reflectance; In-vivo; Intrinsic fluorescence; Layered tissue; MC simulation; Spectral shapes; Inverse problems
Type
conference paper