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Table 3 Statistical results of our method for test images of 1 to 20 from DRIVE dataset

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

Dataset Image number Se Sp Ppv Npv Acc κ
DRIVE 1 0.8182 0.9581 0.7461 0.9723 0.9398 0.7457
2 0.7764 0.9654 0.7982 0.9608 0.9371 0.7502
3 0.7387 0.9513 0.7218 0.9551 0.9202 0.6834
4 0.7456 0.9677 0.7826 0.9607 0.9378 0.7279
5 0.7419 0.9682 0.7878 0.9593 0.9371 0.7279
6 0.7142 0.9726 0.8126 0.9534 0.9358 0.7233
7 0.7507 0.9466 0.6846 0.9609 0.9204 0.6699
8 0.7285 0.9619 0.7332 0.9610 0.9325 0.6923
9 0.7223 0.9738 0.7880 0.9630 0.9439 0.7221
10 0.7535 0.9656 0.7507 0.9661 0.9400 0.7179
11 0.7456 0.9512 0.6972 0.9613 0.9243 0.6768
12 0.7932 0.9594 0.7391 0.9697 0.9383 0.7297
13 0.7165 0.9665 0.7811 0.9533 0.9307 0.7073
14 0.7940 0.9573 0.7130 0.9720 0.9380 0.7160
15 0.7867 0.9463 0.6321 0.9742 0.9296 0.6616
16 0.7880 0.9697 0.7989 0.9677 0.9457 0.7621
17 0.7581 0.9715 0.7900 0.9660 0.9451 0.7425
18 0.8407 0.9517 0.6965 0.9784 0.9388 0.7271
19 0.8696 0.9599 0.7504 0.9815 0.9489 0.7764
20 0.8254 0.9604 0.7162 0.9785 0.9458 0.7364