[1] L. V. Wang, H. Wu, Biomedical Optics Principles and Imaging, 1st edn. E-Publishing, New Jersey (2007).
[2] L. Zhang, Z. Wang, M. Zhou, “Determination of the optical coefficients of biological tissue by neural network," J. Mod. Opt. 1163 1170 (2010).
[3] L. Jacques, B. W. Pogue, “Tutorial on diffuse light transport,". J. Biomed. Opt. 041301-1-19 (2008).
[4] L.Wang, L. Jacques, “Monte Carlo modeling of light transport in multi-layered tissues in standard C." University of Texas M. D. Anderson Cancer Center, Houston, Texas (1992).
[5] P. Beard, “Biomedical photoacuostic imaging," In-terface Focus 602 631 (2011).
[6] Z. George, D. Aikaterini, “Modeling diffuse reflec-tance from homogeneous semi-infinite turbid media for biological tissue applications: A Monte Carlo study," Biomed. Opt. Express 3284 3292 (2011).
[7] Z. Chaigang, L. Quan, “Review of Monte Carlo modeling of light transport in tissues," J. Biomed. Opt. doi: 10.1117/1.JBO.18.5.050902 (2013).
[8] J. Mitra, Multi spectral image processing applied to dermatology, Master's. thesis (2009).
[9] G. Zonios, A. Dimou, “Modeling diffuse reflectance from semi-infinite turbid media: Application to the study of skin optical properties," Opt. Express 8663 8664 (2006).
[10] Y. Yong, P. Morgan, C. Pitter, “Characterization of layered scattering media using polarized light mea-surements and neural networks," J. Biomed. Opt. 504 506 (2003).
[11] A. Cserkaszky, “Monte Carlo based PET image re-construction on GPU," Master's thesis, Budapest, (2011).
[12] B. Moyer, Real World Multiple Embedded Systems, 1st edn., SantaCruz, CA, USA (2013).
[13] S. A. Prahl, M. Keijzer, S. L. Jacques, A. J. Welch, “A Monte Carlo model of light propagation in tissue," SPIE institute series 102 111 (1989).
[14] L. Wang, S. L. Jacques, Zheng, MCML Monte Carlo Modeling of Light Transport In Multi-Lay-ered Tissues, pp. 131 146, Elsevier, Netherlands (1995).
[15] S. E. Hernandez, V. D. Rodriquez, F. A. Martin, M. A. Castellano, J. S. Gonzalez, “Diffuse reflectance spectroscopy characterization of hemoglobin and intralipid solutions: in vitro measurements with continuous variation of absorption and scattering," J. Biomed. Opt. doi: 10.1117/1.3149864 (2009).
[16] S. T. Flock, S. L. Jacques, B. C. Wilson, W. M. Star, M. J. C. Van Gemert, “Optical Properties of Intralipid: A phantom medium for light propagation studies," LasersSurg. Med. 510 518 (1992).
[17] E. M. Izhikevich, http://www.technologyreview.com/news/530871/robots-that-learn-through-repe-tition-not-programming/, MIT Technology Review (2014).
[18] R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification, 2nd edn. California (1973).
[19] S. A. Sullivan,“Experimental study of the absorp-tion in distilled water, artificial seawater and heavy water in the visible region of the spectrum," Opt. Soc. Am. J. 962 968 (1963).
[20] S. M. Jacques, “Optical properties of biological tis-sues: A review," Phys. Med. Biol. R37 R61 (2013).
[21] A. N. Bashkatov, E. A. Genina, V. I. Kochubey, V. V. Tuchin, “Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm," J. Phys. D: Appl. Phys. 2543 2555 (2005).
[22] P. Ziengenhein, S. Pirner, Ph. C. Kamerling, U. Oelfke, “Fast CPU-based Monte Carlo simula-tion for radio therapy dose calculation," Phys. Med. Biol. 6097 6111 (2015).
[23] M. Riedmiller, H. Braun, “A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm," IEEE 586 591 (1993).
[24] T. Lister, A. P. Wright, H. P. Chappell, “Optical properties of human skin," J. Bio. Opt. (2012).
