• Laser & Optoelectronics Progress
  • Vol. 56, Issue 7, 071504 (2019)
Quansheng Liu1, Yanmei Jiang2, Jingchao Yang2、*, and Pengcheng Ma3
Author Affiliations
  • 1 Police Scientific Research Office, Hebei Vocational College of Public Security Police, Shijiazhuang, Hebei 0 50091, China
  • 2 Department of Economic Management, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, Hebei 0 50091, China
  • 3 Situ Technology (Guangzhou) Co., Ltd., Guangzhou, Guangdong 511458, China
  • show less
    DOI: 10.3788/LOP56.071504 Cite this Article Set citation alerts
    Quansheng Liu, Yanmei Jiang, Jingchao Yang, Pengcheng Ma. Efficient Tumor Tracking Algorithm for Gastroscope Image[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071504 Copy Citation Text show less
    References

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

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

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

    [4] 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, 58, 175-180(2013).

    [5] Wang M. Research on pedestrian detection and tracking technology based on mobile vision platform[D]. Beijing: Graduate School of Chinese Academy of Sciences(2012).

    [6] Lan K Y. Research on vehicle tracking technology based on feature detection[D]. Beijing: Beijing University of Posts and Telecommunications(2010).

    [7] Possegger H, Mauthner T, Bischof H. In defense of color-based model-free tracking. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 2113-2120(2015).

    [8] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1023/B:VISI.0000029664.99615.94&rfr_id=trans/tp/2008/10/ttp2008101683.htm

    [9] Li Y, Zhou J, Cheng A et al. SIFT keypoint removal and injection via convex relaxation[J]. IEEE Transactions on Information Forensics & Security, 11, 1722-1735(2016). http://ieeexplore.ieee.org/document/7452396/

    [10] Ardizzone E, Bruno A, Mazzola G. Copy-move forgery detection by matching triangles of keypoints[J]. IEEE Transactions on Information Forensics and Security, 10, 2084-2094(2015). http://ieeexplore.ieee.org/document/7123632/

    [11] Li D, Zhou H L, Lam K M. High-resolution face verification using pore-scale facial features[J]. IEEE Transactions on Image Processing, 24, 2317-2327(2015). http://europepmc.org/abstract/med/25781876

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

    [13] Alahari K, Berg A, Hager G et al. The thermal infrared visual object tracking VOT-TIR2015 challenge results. [C]∥IEEE International Conference on Computer Vision Workshop, 639-651(2015).

    [14] Kristan M, Pflugfelder R, Leonardis A et al. The visual object tracking VOT2014 challenge results. [C]∥European Conference on Computer Vision Workshop, 191-217(2014).

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

    [16] 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, 55, 081001(2018).

    Quansheng Liu, Yanmei Jiang, Jingchao Yang, Pengcheng Ma. Efficient Tumor Tracking Algorithm for Gastroscope Image[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071504
    Download Citation