表 1. Jaccard similarity coefficients for segmentation results of three algorithms.

三种算法分割结果的杰卡德相似系数

数据	本文			传统中智学			K-means
	纤维斑块	脂质区		纤维斑块	脂质区		纤维斑块	脂质区
1	0.794 5	0.786 2		0.419 8	0.463 8		0.638 1	0.602 6
2	0.850 4	0.817 7		0.426 3	0.456 3		0.529 1	0.565 0
3	0.882 5	0.842 3		0.365 6	0.501 2		0.606 5	0.752 3
4	0.819 0	0.778 6		0.456 2	0.435 6		0.613 6	0.467 9
5	0.812 4	0.810 9		0.378 6	0.421 3		0.541 6	0.550 3
6	0.900 4	0.785 1		0.368 6	0.402 5		0.623 5	0.612 4
7	0.812 5	0.778 7		0.426 7	0.381 2		0.515 0	0.506 4
8	0.785 1	0.767 1		0.415 6	0.375 6		0.594 0	0.569 6
9	0.798 4	0.825 6		0.387 6	0.394 3		0.452 4	0.479 1
10	0.840 2	0.774 6		0.375 6	0.454 3		0.564 2	0.530 2
11	0.770 9	0.793 6		0.366 5	0.435 6		0.645 4	0.628 6
12	0.806 5	0.764 8		0.412 8	0.421 5		0.645 5	0.565 2
13	0.797 0	0.826 8		0.414 6	0.454 8		0.702 3	0.612 8
14	0.813 4	0.789 6		0.368 9	0.465 2		0.645 2	0.562 2
15	0.869 4	0.846 6		0.345 2	0.415 3		0.598 4	0.591 7
16	0.844 3	0.787 3		0.325 4	0.402 8		0.644 5	0.410 1
17	0.861 8	0.834 6		0.435 2	0.468 9		0.689 1	0.568 9
18	0.886 3	0.821 0		0.347 6	0.472 5		0.563 7	0.623 7
19	0.895 2	0.826 3		0.425 3	0.462 1		0.645 3	0.594 6
20	0.853 5	0.812 4		0.413 6	0.412 5		0.638 5	0.625 8
均值	0.835 ± 0.039	0.803 ± 0.026		0.394 ± 0.035	0.435 ± 0.034		0.605 ± 0.062	0.571 ± 0.072