表 1. Jaccard similarity coefficients for segmentation results of two algorithms.
两种算法分割结果的杰卡德相似系数
| 数据 | 本文方法 | 传统随机游走算法 | |||||
| 钙化斑块 | 纤维化斑块 | 脂质池 | 钙化斑块 | 纤维化斑块 | 脂质池 | ||
| 注:“——”表示没有此斑块类型 | |||||||
| 1 | 0.893 2 | 0.928 9 | —— | 0.722 8 | 0.797 4 | —— | |
| 2 | —— | 0.886 8 | 0.807 9 | —— | 0.810 2 | 0.574 6 | |
| 3 | 0.855 3 | 0.867 3 | —— | 0.629 5 | 0.774 8 | —— | |
| 4 | 0.922 4 | 0.910 4 | —— | 0.669 9 | 0.834 8 | —— | |
| 5 | 0.865 4 | 0.890 1 | —— | 0.672 1 | 0.768 2 | —— | |
| 6 | 0.889 1 | 0.902 2 | —— | 0.814 8 | 0.787 6 | —— | |
| 7 | —— | 0.854 7 | 0.897 0 | —— | 0.784 6 | 0.664 4 | |
| 8 | —— | 0.849 8 | 0.810 9 | —— | 0.769 8 | 0.556 7 | |
| 9 | 0.852 1 | 0.844 9 | —— | 0.711 9 | 0.756 5 | —— | |
| 10 | 0.883 1 | 0.909 2 | 0.832 2 | 0.761 9 | 0.807 6 | 0.639 3 | |
| 11 | 0.902 8 | 0.914 3 | —— | 0.736 5 | 0.816 6 | —— | |
| 12 | 0.899 7 | 0.842 3 | —— | 0.659 3 | 0.792 2 | —— | |
| 13 | 0.815 4 | 0.877 6 | —— | 0.623 1 | 0.762 8 | —— | |
| 14 | 0.874 4 | 0.898 2 | —— | 0.701 3 | 0.817 2 | —— | |
| 15 | 0.843 9 | 0.869 4 | —— | 0.733 5 | 0.798 3 | —— | |
| 16 | 0.919 8 | 0.848 9 | —— | 0.649 3 | 0.756 1 | —— | |
| 17 | 0.932 9 | 0.894 0 | —— | 0.692 9 | 0.800 3 | —— | |
| 18 | 0.832 6 | 0.858 2 | —— | 0.604 3 | 0.774 3 | —— | |
| 19 | 0.865 3 | 0.889 7 | —— | 0.798 7 | 0.714 5 | —— | |
| 20 | 0.893 4 | 0.912 2 | —— | 0.745 4 | 0.822 7 | —— | |
| 平均值 | 0.879 ± 0.037 | 0.883 ± 0.027 | 0.837 ± 0.041 | 0.702 ± 0.060 | 0.787 ± 0.029 | 0.609 ± 0.051 | |