TABLE I.
Quantitative Measurements of the Proposed Method for Automatic Reconnection of Gaps on the 4 Validation Datasets
Datasets | Gap sizes | Iterations | NBP | NAP | SR | Sensitivity |
Specificity |
DC |
MCC |
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BP | AP | BP | AP | BP | AP | BP | AP | ||||||
DRIVE | λ = 7 × 7 | 1 | 4393 | 68 | 98.5% | 0.9348 | 0.9959 | 1 | 0.9998 | 0.9663 | 0.9956 | 0.9656 | 0.9955 |
λ = 11 × 11 | 2 | 4395 | 171 | 96.0% | 0.8786 | 0.9894 | 1 | 0.9994 | 0.9353 | 0.9874 | 0.9351 | 0.9869 | |
λ = 15 × 15 | 2 | 4161 | 335 | 92.0% | 0.8219 | 0.9763 | 1 | 0.9990 | 0.9020 | 0.9756 | 0.9034 | 0.9747 | |
IOSTAR | λ = 7 × 7 | 1 | 1932 | 14 | 99.4% | 0.9393 | 0.9981 | 1 | 0.9997 | 0.9687 | 0.9942 | 0.9683 | 0.9940 |
λ = 11 × 11 | 2 | 2006 | 30 | 98.5% | 0.8859 | 0.9966 | 1 | 0.9997 | 0.9394 | 0.9936 | 0.9396 | 0.9934 | |
λ = 15 × 15 | 2 | 1845 | 88 | 95.3% | 0.8354 | 0.9906 | 1 | 0.9996 | 0.9102 | 0.9878 | 0.9118 | 0.9874 | |
HRF-Patch | λ = 15 × 15 | 1 | 410 | 9 | 98.0% | 0.9123 | 0.9991 | 1 | 0.9999 | 0.9541 | 0.9973 | 0.9546 | 0.9972 |
λ = 23 × 23 | 2 | 410 | 16 | 96.5% | 0.8575 | 0.9936 | 1 | 0.9999 | 0.9231 | 0.9940 | 0.9252 | 0.9939 | |
λ = 31 × 31 | 2 | 410 | 32 | 92.8% | 0.8061 | 0.9862 | 1 | 0.9998 | 0.8924 | 0.9897 | 0.8967 | 0.9896 | |
λ = 39 × 39 | 3 | 410 | 44 | 89.7% | 0.7533 | 0.9552 | 1 | 0.9997 | 0.8588 | 0.9643 | 0.8665 | 0.9639 | |
Corneal Nerve Fiber | λ = 13 × 13 | 1 | 5278 | 23 | 99.6% | 0.8962 | 0.9929 | 1 | 0.9998 | 0.9453 | 0.9895 | 0.9459 | 0.9894 |
λ = 19 × 19 | 2 | 5278 | 113 | 98.0% | 0.8383 | 0.9800 | 1 | 0.9992 | 0.9120 | 0.9647 | 0.9144 | 0.9643 | |
λ = 25 × 25 | 2 | 5278 | 316 | 94.0% | 0.7838 | 0.9743 | 1 | 0.9991 | 0.8788 | 0.9594 | 0.8839 | 0.9589 | |
λ = 31 × 31 | 2 | 4251 | 674 | 85.0% | 0.7820 | 0.9665 | 1 | 0.9991 | 0.8776 | 0.9529 | 0.8828 | 0.9522 |
BP: Before processing; AP: After processing; NBP: Number of gaps before processing; NAP: Number of gaps after processing; SR; Success rate; DC: Dice coefficient; MCC: Matthews correlation coefficient