[1] Pereira L, Meng C, Marques D, et al. Old and new calcimimetics for treatment of secondary hyperparathyroidism: impact on biochemical and relevant clinical outcomes[J]. Clinical Kidney Journal, 2018, 11(1): 80-88.

[2] 许新征, 丁世飞, 史忠植, 等. 图像分割的新理论和新方法[J]. 电子学报, 2010, 38(S1): 76-82.

    Xu X Z, Ding S F, Shi Z Z, et al. New theories and methods of image segmentation[J]. Acta Electronica Sinica, 2010, 38(S1): 76-82.

[3] 赵方珍, 梁海英, 巫湘林, 等. 基于局部和全局高斯拟合的主动轮廓分割模型[J]. 激光与光电子学进展, 2017, 54(5): 051006.

    Zhao F Z, Liang H Y, Wu X L, et al. Active contour segmentation model based on local and global Gaussian fitting[J]. Laser & Optoelectronics Progress, 2017, 54(5): 051006.

[4] 谢志南, 郑东, 陈嘉耀, 等. 改进Chan-Vese模型的肝癌消融CT图像肿块分割方法[J]. 激光与光电子学进展, 2017, 54(2): 021702.

    Xie Z N, Zheng D, Chen J Y, et al. A tumor segmentation method of improved Chan-Vese model for liver cancer ablation computed tomography image[J]. Laser & Optoelectronics Progress, 2017, 54(2): 021702.

[5] Chan T F, Vese L A. Active contours without edges[J]. IEEE Transactions on Image Processing, 2001, 10(2): 266-277.

[6] 张开华, 周文罡, 张振, 等. 一种改进的C-V主动轮廓模型[J]. 光电工程, 2008, 35(12): 112-116.

    Zhang K H, Zhou W G, Zhang Z, et al. Improved C-V active contour model[J]. Opto-Electronic Engineering, 2008, 35(12): 112-116.

[7] Li C M, Kao C Y, Gore J C, et al. Minimization of region-scalable fitting energy for image segmentation[J]. IEEE Transactions on Image Processing, 2008, 17(10): 1940-1949.

[8] Wang L, Li C M, Sun Q S, et al. Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation[J]. Computerized Medical Imaging and Graphics, 2009, 33(7): 520-531.

[9] SumathiK, MaheshV, RamakrishnanS. Analysis of intima media thickness in ultrasound carotid artery images using level set segmentation without re-initialization[C]∥2014 International Conference on Informatics, Electronics & Vision (ICIEV), May 23-24, 2014, Dhaka, Bangladesh. New York: IEEE, 2014: 15224731.

[10] Chen J Q, Guan B L, Wang H L, et al. Image thresholding segmentation based on two dimensional histogram using gray level and local entropy information[J]. IEEE Access, 2018, 6: 5269-5275.

[11] Wang X F, Huang D S, Xu H. An efficient local Chan-Vese model for image segmentation[J]. Pattern Recognition, 2010, 43(3): 603-618.

[12] 周丽芬, 李苹, 任雪利. 一种改进的图像分割活动轮廓模型[J]. 计算机应用与软件, 2013, 30(8): 184-186, 196.

    Zhou L F, Li P, Ren X L. An improved image segmentation active contour model[J]. Computer Applications and Software, 2013, 30(8): 184-186, 196.

[13] DietenbeckT, AlessandriniM, FribouletD, et al. Creaseg: a free software for the evaluation of image segmentation algorithms based on level-set[C]∥2010 IEEE International Conference on Image Processing, September 26-29, 2010, Hong Kong, China. New York: IEEE, 2010: 665- 668.