[1] . 中国结直肠癌诊疗规范(2017年版)[J]. 中国医学前沿杂志(电子版), 2018, 10(3): 1-21.

    National Health, Family Planning Commission. Chinese colorectal cancer treatment and treatment regulations (2017 Edition)[J]. Chinese Journal of Frontier Medicine (Electronic Edition), 2018, 10(3): 1-21.

[2] 黄雪, 郑媛媛, 李富荣. 免疫细胞靶向治疗结肠癌肿瘤干细胞[J]. 中国免疫学杂志, 2017, 33(1): 156-160.

    Huang X, Zheng Y Y, Li F R. Immune cells target colon cancer cancer stem cells[J]. Chinese Journal of Immunology, 2017, 33(1): 156-160.

[3] 李言民, 郝思文, 杨臻达, 等. 主从式胃镜介入机器人系统[J]. 机器人, 2016, 38(1): 107-114.

    Li Y M, Hao S W, Yang Z D, et al. Robot-assisted master-slave system for gastroscope intervention[J]. Robot, 2016, 38(1): 107-114.

[4] 李言民, 刘浩, 李贵祥, 等. 面向自然腔道微创介入的在体感知与柔性操作[J]. 科学通报, 2013, 58(S2): 175-180.

    Li Y M, Liu H, Li G X, et al. In-vivo perception and flexible operation focused on minimally invasive intervention of natural orifice[J]. Chinese Science Bulletin, 2013, 58(S2): 175-180.

[5] 王敏. 基于移动视觉平台的行人检测与跟踪技术研究[D]. 北京: 中国科学院研究生院, 2012.

    WangM. Research on pedestrian detection and tracking technology based on mobile vision platform[D]. Beijing: Graduate School of Chinese Academy of Sciences, 2012.

[6] 兰昆艳. 基于特征检测的车辆跟踪技术的研究[D]. 北京: 北京邮电大学, 2010.

    Lan KY. Research on vehicle tracking technology based on feature detection[D]. Beijing: Beijing University of Posts and Telecommunications, 2010.

[7] PosseggerH, MauthnerT, BischofH. In defense of color-based model-free tracking[C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2015: 2113- 2120.

[8] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

[9] Li Y, Zhou J, Cheng A, et al. SIFT keypoint removal and injection via convex relaxation[J]. IEEE Transactions on Information Forensics & Security, 2016, 11(8): 1722-1735.

[10] Ardizzone E, Bruno A, Mazzola G. Copy-move forgery detection by matching triangles of keypoints[J]. IEEE Transactions on Information Forensics and Security, 2015, 10(10): 2084-2094.

[11] Li D, Zhou H L, Lam K M. High-resolution face verification using pore-scale facial features[J]. IEEE Transactions on Image Processing, 2015, 24(8): 2317-2327.

[12] BayH, Tuytelaars T, van Gool L. SURF: speeded up robust features[C]∥European Conference on Computer Vision, 2006: 404- 417.

[13] AlahariK, BergA, HagerG, et al. The thermal infrared visual object tracking VOT-TIR2015 challenge results[C]∥IEEE International Conference on Computer Vision Workshop, 2015: 639- 651.

[14] KristanM, PflugfelderR, LeonardisA.et al. The visual object tracking VOT2014 challenge results[C]∥European Conference on Computer Vision Workshop, 2014: 191- 217.

[15] Denpanis KG. Relationship between the sum of squared difference (SSD) and cross correlation for template matching[R]. York: York University, 2005: 1.

[16] 褚晶辉, 吴泽蕤, 吕卫, 等. 基于迁移学习和深度卷积神经网络的乳腺肿瘤诊断系统[J]. 激光与光电子学进展, 2018, 55(8): 081001.

    Chu J H, Wu Z R, Lü W, et al. Breast cancer diagnosis system based on transfer learning and deep convolutional neural networks[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081001.