Skip to main content
. Author manuscript; available in PMC: 2019 Nov 27.
Published in final edited form as: IEEE Trans Biomed Eng. 2018 May;65(5):1151–1165. doi: 10.1109/TBME.2017.2787025

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