• Laser & Optoelectronics Progress
  • Vol. 55, Issue 5, 051011 (2018)
Hongbing Yao, Jinwen Bian*; , Jiawei Cong, and Yin Huang
Author Affiliations
  • School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
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    DOI: 10.3788/LOP55.051011 Cite this Article Set citation alerts
    Hongbing Yao, Jinwen Bian, Jiawei Cong, Yin Huang. Medical Image Segmentation Model Based on Local Sparse Shape Representation[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051011 Copy Citation Text show less
    All prior shapes
    Fig. 1. All prior shapes
    Original figure of bone. (a) Normalized original figure; (b) figure with Gaussian white noise and occlusion
    Fig. 2. Original figure of bone. (a) Normalized original figure; (b) figure with Gaussian white noise and occlusion
    Segmentation process of proposed model. (a) Original contour; (b)-(e) evolution processing
    Fig. 3. Segmentation process of proposed model. (a) Original contour; (b)-(e) evolution processing
    Partial prior shapes
    Fig. 4. Partial prior shapes
    (a) Original figure of kidney; (b) sparse coefficient; (c) segmentation result
    Fig. 5. (a) Original figure of kidney; (b) sparse coefficient; (c) segmentation result
    Segmentation results. (a) Original image of the kidney; (b) Chan-Vese model; (c) ESC model; (d) proposed model
    Fig. 6. Segmentation results. (a) Original image of the kidney; (b) Chan-Vese model; (c) ESC model; (d) proposed model
    Segmentation results. (a) Original image of the liver; (b) Chan-Vese model; (c) DG-SSR model; (d) proposed model
    Fig. 7. Segmentation results. (a) Original image of the liver; (b) Chan-Vese model; (c) DG-SSR model; (d) proposed model
    MethodSER
    Chan-Vese0.8240.423
    ESC0.8620.320
    Proposed method0.9430.122
    Table 1. Segmentation results of three methods for kidney
    MethodSER
    Chan-Vese--
    DG-SSR0.8870.127
    Proposed method0.9050.105
    Table 2. Segmentation results of three methods for liver
    Hongbing Yao, Jinwen Bian, Jiawei Cong, Yin Huang. Medical Image Segmentation Model Based on Local Sparse Shape Representation[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051011
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