Laser & Optoelectronics Progress, Volume. 55, Issue 6, 061701(2018)

Application of Improved Voxels Growth Algorithm in Cardiac Local Vascular Extraction

Guoyin Ren1, Xiaoqi Lü1, Nan Yang2、*, Dahua Yu1, Xiaofeng Zhang1, and Tao Zhou1
Author Affiliations
  • 1School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 0 14010, China
  • 2Baotou Medical College, Baotou, Inner Mongolia 0 14010, China
  • show less
    References(14)

    [6] Ding P L. Research of diabetic retinal image analysis algorithms based on deep learning[D]. Beijing: Beijing Jiao Tong University(2017).

    [10] Cao Y H, Jin Q H, Chen Y D et al. Automatic identification of side branch and main vascular measurements in intravascular optical coherence tomography images. [C]∥2017 IEEE 14th International Symposium on Biomedical Imaging, 16968796(2017).

    CLP Journals

    [1] Meishu Gui, Jin Hou, Guanghong Tan, Peijun Wu. Global Illumination Algorithm Based on Voxel Cone Tracing[J]. Acta Optica Sinica, 2019, 39(6): 0620001

    [2] Meishu Gui, Jin Hou, Guanghong Tan, Peijun Wu. Global Illumination Algorithm Based on Voxel Cone Tracing[J]. Acta Optica Sinica, 2019, 39(6): 0620001

    Tools

    Get Citation

    Copy Citation Text

    Guoyin Ren, Xiaoqi Lü, Nan Yang, Dahua Yu, Xiaofeng Zhang, Tao Zhou. Application of Improved Voxels Growth Algorithm in Cardiac Local Vascular Extraction[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061701

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Oct. 8, 2017

    Accepted: --

    Published Online: Apr. 10, 2019

    The Author Email: Nan Yang (812216021@qq.com)

    DOI:10.3788/LOP55.061701

    Topics