Acta Photonica Sinica, Volume. 49, Issue 8, 0817001(2020)

Measuring Optical Parameters γ of Biological Tissues by Artificial Neural Network Method

Qiu-sheng ZHU and Ying LIU
Author Affiliations
  • Key Laboratory of Optoelectronic Information Technology Science, School of Science, Tianjin University, Tianjin 300072
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    References(19)

    [11] [11] PETER N, BLAZ C, FRANJO P, et al. Extraction of optical properties in the subdiffuse regime by spatially resolved reflectance spectroscopy[C]. SPIE, 2016, 9706: 97061C.https:www.spie.gPublicationsProceedingsPaper10.111712.2212947SSO=1

    [15] [15] YEVHEN Zi, PETER N, FRANJO P, et al. Fast accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance f a complex probe sample interface[C]. SPIE, 2019, 10872: 108720R.

    [20] [20] ISAEVA A A, ISAEVA E, PANTYUKOV A V. A comparison of different phase scattering functions in modeling wave radiative transfer applied to the tissues with complex structures dynamics[C]. SPIE, 2019, 11066: 110660X.10.111712.2523212

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    Qiu-sheng ZHU, Ying LIU. Measuring Optical Parameters γ of Biological Tissues by Artificial Neural Network Method[J]. Acta Photonica Sinica, 2020, 49(8): 0817001

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Apr. 13, 2020

    Accepted: May. 20, 2020

    Published Online: Nov. 27, 2020

    The Author Email:

    DOI:10.3788/gzxb20204908.0817001

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