Fast and robust extraction of optical and morphological properties of human skin using a hybrid stochastic–deterministic algorithm: Monte-Carlo simulation study

A hybrid deterministic–stochastic algorithm combining the simplex method (SM) and a genetic algorithm (GA) was applied to the problem of extracting the optical and morphological properties of human skin (HSOMPs) from visual reflectance spectroscopy data. The results using the GA-SM hybrid algorithm...

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Bibliographic Details
Published in:	Lasers in medical science Vol. 25; no. 5; pp. 733 - 741
Main Author:	Choi, Seung Ho
Format:	Journal Article
Language:	English
Published:	London Springer-Verlag 01.09.2010 Springer Nature B.V
Subjects:	Algorithms Computer Simulation Dentistry Extraction Genetic algorithms Human Humans Lasers Low-Level Light Therapy Medical science Medicine Medicine & Public Health Models, Biological Monte Carlo Method Monte Carlo methods Monte Carlo simulation Morphology Optical Devices Optical Phenomena Optical properties Optics Original Article Photonics Port-Wine Stain - pathology Port-Wine Stain - physiopathology Port-Wine Stain - radiotherapy Quantum Optics Skin Skin - anatomy & histology Skin - radiation effects Skin Physiological Phenomena Spectrum analysis Stochastic models Stochastic Processes Visible reflectance spectroscopy Genetic algorithm Diffusion approximation model Simplex method Wavelength selection method
ISSN:	0268-8921, 1435-604X, 1435-604X
Online Access:	Get full text
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