Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion

Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion

In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concentration, hemoglobin volume fraction, and thickness...

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Bibliographic Details
Main Authors: Leevi Annala, Sami Äyrämö, Ilkka Pölönen
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
skin
physical parameter retrieval
neural networks
convolutional neural network
machine learning
model inversion
Online Access:https://www.mdpi.com/2076-3417/10/20/7097

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