[1] , 等. OCT内窥镜的研究现状与展望[J]. 激光与光电子学进展, 2015, 52(10): 100006.

    , et al. Research status and prospect of endoscopic OCT[J]. Laser & Optoelectronics Progress, 2015, 52(10): 100006.

[2] , 等. 偏振频域OCT系统光谱错位分析及光谱校准[J]. 中国激光, 2018, 45(2): 0207022.

    , et al. Wavelength misalignment analysis and spectral calibration for Fourier domain polarization-sensitive optical coherence tomography[J]. Chinese Journal of Lasers, 2018, 45(2): 0207022.

[3] , 等. 基于光学相干层析成像的视网膜图像自动分层方法[J]. 光学学报, 2016, 36(10): 1011003.

    , et al. Automated retinal layer segmentation based on optical coherence tomographic images[J]. Acta Optica Sinica, 2016, 36(10): 1011003.

[4] , et al. An image-enhancement method based on variable-order fractional differential operators[J]. Bio-Medical Materials and Engineering, 2015, 26(S1): S1325-S1333.

[5] . Image processing techniques for noise removal, enhancement and segmentation of cartilage OCT images[J]. Physics in Medicine and Biology, 2002, 47(4): 641-655.

[6] BaghaieA, D'Souza R M, Yu Z Y. Sparse and low rank decomposition based batch image alignment for speckle reduction of retinal OCT images[C]∥2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), April 16-19, 2015, New York, USA. New York: IEEE, 2015: 226- 230.

[7] . Speckle in optical coherence tomography[J]. Journal of Biomedical Optics, 1999, 4(1): 95-105.

[8] . Reduction of speckle noise from optical coherence tomography images using multi-frame weighted nuclear norm minimization method[J]. Journal of Modern Optics, 2015, 62(21): 1856-1864.

[9] , et al. Denoising optical coherence tomography using second order total generalized variation decomposition[J]. Biomedical Signal Processing and Control, 2016, 24: 120-127.

[10] , et al. Enhancement and bias removal of optical coherence tomography images: an iterative approach with adaptive bilateral filtering[J]. Computers in Biology and Medicine, 2016, 71: 97-107.

[11] . 数字全息再现像散斑噪声消除的研究[J]. 激光与光电子学进展, 2013, 50(5): 050901.

    . Study on reduction of speckle noise in reconstructed image of digital hologram[J]. Laser & Optoelectronics Progress, 2013, 50(5): 050901.

[12] . Speckle reduction in optical coherence tomography by “path length encoded” angular compounding[J]. Journal of Biomedical Optics, 2003, 8(2): 260-263.

[13] Jørgensen TM, ThraneL, MogensenM, et al. Speckle reduction in optical coherence tomography images of human skin by a spatial diversity method[C]∥Optical Coherence Tomography and Coherence Techniques Ⅲ, June 17-21, 2007, Munich, Germany. Washington, D.C.: OSA, 2007: 6627_22.

[14] , et al. Wavelet denoising of multiframe optical coherence tomography data[J]. Biomedical Optics Express, 2012, 3(3): 572-589.

[15] , et al. Three-dimensional speckle suppression in optical coherence tomography based on the curvelet transform[J]. Optics Express, 2010, 18(2): 1024-1032.

[16] , et al. Sparsity based denoising of spectral domain optical coherence tomography images[J]. Biomedical Optics Express, 2012, 3(5): 927-942.

[17] , et al. Speckle noise reduction in optical coherence tomography images based on edge-sensitive cGAN[J]. Biomedical Optics Express, 2018, 9(11): 5129-5146.

[18] , et al. Iterative variance stabilizing transformation denoising of spectral domain optical coherence tomography images applied to retinoblastoma[J]. Ophthalmic Research, 2018, 59(3): 164-169.

[19] . A theory for multiresolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7): 674-693.

[20] , 等. 基于分数阶积分的图像去噪[J]. 系统工程与电子技术, 2011, 33(4): 925-932.

    , et al. Research on image denoising based on fractional order integral[J]. Systems Engineering and Electronics, 2011, 33(4): 925-932.

[21] . The discrete fractional Fourier transform[J]. IEEE Transactions on Signal Processing, 2000, 48(5): 1329-1337.

[22] . Fractional differential mask: a fractional differential-based approach for multiscale texture enhancement[J]. IEEE Transactions on Image Processing, 2010, 19(2): 491-511.

[23] 全球AI挑战赛. 眼底水肿病变区域自动分割[DB/OL].[2019-01-29]. https:∥challenger.ai/competition/fl2018.

    AIChallenger. Automatic segmentation of fundus edema lesions[DB/OL]. [2019-01-29].https:∥challenger.ai/competition/fl2018.

[24] , et al. Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images[J]. Biomedical Optics Express, 2014, 5(10): 3568-3577.

[25] , 等. 眼底OCT图像中糖尿病性黄斑水肿的分割[J]. 光电工程, 2018, 45(7): 170605.

    , et al. Segmentation of diabetic macular edema in OCT retinal images[J]. Opto-Electronic Engineering, 2018, 45(7): 170605.