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Table 4 Statistical results of our method for test images of 1 to 20 from our dataset

From: Structure-based level set method for automatic retinal vasculature segmentation

Dataset Image number Se Sp Ppv Npv Acc κ
Ours 1 0.4821 0.9905 0.7483 0.9702 0.9623 0.5676
2 0.3471 0.9887 0.6680 0.9586 0.9494 0.4330
3 0.5745 0.9786 0.5802 0.9781 0.9589 0.5557
4 0.5617 0.9695 0.5911 0.9657 0.9398 0.5437
5 0.5699 0.9872 0.7537 0.9708 0.9602 0.6284
6 0.3527 0.9879 0.6416 0.9613 0.9511 0.4318
7 0.8109 0.9566 0.5234 0.9885 0.9485 0.6098
8 0.3134 0.9887 0.6280 0.9594 0.9499 0.3950
9 0.3966 0.9857 0.5666 0.9719 0.9591 0.4461
10 0.4290 0.9878 0.5958 0.9764 0.9654 0.4814
11 0.2789 0.9901 0.6119 0.9607 0.9523 0.3619
12 0.5497 0.9840 0.6101 0.9796 0.9651 0.5602
13 0.6942 0.9783 0.6056 0.9852 0.9653 0.6288
14 0.4028 0.9844 0.5128 0.9759 0.9616 0.4316
15 0.5848 0.9849 0.5977 0.9840 0.9700 0.5756
16 0.3300 0.9877 0.6573 0.9539 0.9440 0.4133
17 0.7426 0.9731 0.5785 0.9870 0.9622 0.6308
18 0.5550 0.9762 0.5149 0.9797 0.9578 0.5122
19 0.7238 0.9712 0.6101 0.9826 0.9567 0.6392
  20 0.6576 0.9680 0.4891 0.9838 0.9542 0.5373