[1] Patterson M S, Wilson B C, Wyman D R. The propagation of optical radiation in tissue. II: optical properties of tissues and resulting fluence distributions[J]. Lasers in Medical Science, 6, 379-390(1991).

[2] Qin J W, Lu R F. Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique[J]. Postharvest Biology and Technology, 49, 355-365(2008).

[3] Nahmad-Rohen A, García-Valenzuela A. Unambiguous derivation of the effective refractive index of biological suspensions and an extension to dense tissue such as blood[J]. Journal of the Optical Society of America A, 38, 775-783(2021).

[4] Arslan H, Pehlivanoz B. Effect of purification, dehydration, and coagulation processes on the optical parameters of biological tissues[J]. Chinese Optics Letters, 19, 011701(2021).

[5] Ma X J, Liu R, Li C X et al. Hyperspectral imaging of in vivo tissues: a review[J]. Laser & Optoelectronics Progress, 57, 080002(2020).

[6] Cheong W F, Prahl S A, Welch A J. A review of the optical properties of biological tissues[J]. IEEE Journal of Quantum Electronics, 26, 2166-2185(1990).

[7] Qin J W, Chao K L, Kim M S et al. Hyperspectral and multispectral imaging for evaluating food safety and quality[J]. Journal of Food Engineering, 118, 157-171(2013).

[8] Qin J W, Kim M S, Schmidt W F et al. A line-scan hyperspectral Raman system for spatially offset Raman spectroscopy[J]. Journal of Raman Spectroscopy, 47, 437-443(2016).

[9] Dhakal S, Li Y Y, Peng Y K et al. Prototype instrument development for non-destructive detection of pesticide residue in apple surface using Raman technology[J]. Journal of Food Engineering, 123, 94-103(2014).

[10] Wang L V, Hu S. Photoacoustic tomography: in vivo imaging from organelles to organs[J]. Science, 335, 1458-1462(2012).

[11] Kienle A, Lilge L, Patterson M S et al. Spatially resolved absolute diffuse reflectance measurements for noninvasive determination of the optical scattering and absorption coefficients of biological tissue[J]. Applied Optics, 35, 2304-2314(1996).

[12] Barman I, Dingari N C, Rajaram N et al. Rapid and accurate determination of tissue optical properties using least-squares support vector machines[J]. Biomedical Optics Express, 2, 592-599(2011).

[13] Warncke D, Lewis E, Lochmann S et al. A neural network based approach for determination of optical scattering and absorption coefficients of biological tissue[J]. Journal of Physics: Conference Series, 178, 012047(2009).

[14] Chen Y W, Chen C C, Huang P J et al. Artificial neural networks for retrieving absorption and reduced scattering spectra from frequency-domain diffuse reflectance spectroscopy at short source-detector separation[J]. Biomedical Optics Express, 7, 1496-1510(2016).

[15] Liu L L, Yin D H, Zhu N Y et al. Determination of material optical properties from diffusive reflection light intensity profiles at multiple distances[J]. Materials Research Express, 7, 025403(2020).

[16] Xu G, Dong L Q, Kong L Q et al. Parameters inversion algorithm of biological tissues based on a neural network model[J]. Acta Optica Sinica, 41, 1117001(2021).

[17] Zhu Q S, Liu Y. Measuring optical parameters γ of biological tissues by artificial neural network method[J]. Acta Photonica Sinica, 49, 0817001(2020).

[18] Li W Y, Wang X, Liu Y. Scattering parameter γ related to tissue microstructure and measuring method[J]. Laser & Optoelectronics Progress, 56, 181701(2019).

[19] Zhang Q, Zhang L M, An J Y et al. Optical parameter measurement method for mucosal lesion recognition in spatially resolved sub-diffusive regime[J]. Acta Optica Sinica, 41, 2417001(2021).

[20] Reif R, A’Amar O, Bigio I J. Analytical model of light reflectance for extraction of the optical properties in small volumes of turbid media[J]. Applied Optics, 46, 7317-7328(2007).

[21] Palmer G M, Zhu C F, Breslin T M et al. Monte Carlo-based inverse model for calculating tissue optical properties Part II: application to breast cancer diagnosis[J]. Applied Optics, 45, 1072-1078(2006).

[22] Liu F, Hohage M, Lagally M G. Surfaces and interfaces of solids, structure of[M]. Digital encyclopedia of applied physics(2003).

[23] Wang L H, Jacques S L, Zheng L Q. MCML: Monte Carlo modeling of light transport in multi-layered tissues[J]. Computer Methods and Programs in Biomedicine, 47, 131-146(1995).

[24] Guo Y, Tan J L. Monte Carlo simulation of retinal light absorption by infants[J]. Journal of the Optical Society of America A, 32, 271-276(2015).

[25] Wang L[D]. Study on the analytic solutions for the photon diffusion equations and transport equations in biological tissue, 249(2018).

[26] Lü C Y, Zhan R J. Measurement method of optical property parameters of biological tissue[J]. Laser & Optoelectronics Progress, 58, 0300004(2021).

[27] Zhu N Y, Liu X, Liu Z Q et al. Deep learning for smart agriculture: concepts, tools, applications, and opportunities[J]. International Journal of Agricultural and Biological Engineering, 11, 21-28(2018).

[28] He K M, Zhang X Y, Ren S Q et al. Identity mappings in deep residual networks[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9908, 630-645(2016).

[29] Zhou T, Huo B Q, Lu H L et al. Research on residual neural network and its application on medical image processing[J]. Acta Electronica Sinica, 48, 1436-1447(2020).

[30] Jacques S L. Optical properties of biological tissues: a review[J]. Physics in Medicine and Biology, 58, R37-R61(2013).