Research Article
Fully Convolutional Network and Visual Saliency-Based Automatic Optic Disc Detection in Retinal Fundus Images
Table 1
Comparison of the evaluation indexes with different methods.
| Methods | Dataset | Dice | Jaccard | Recall | Accuracy |
| SLIC-Hough | DRISHTI-GS | 0.866 3 | 0.846 7 | 0.953 4 | 0.992 2 | RIM-ONE r3 | — | — | — | — | LICE | DRISHTI-GS | 0.920 0 | 0.854 1 | 0.935 2 | 0.967 9 | RIM-ONE r3 | 0.905 6 | 0.810 7 | 0.896 4 | 0.924 1 | Modified U-net | DRISHTI-GS | 0.949 0 | 0.904 2 | 0.926 8 | 0.996 9 | RIM-ONE r3 | 0.903 6 | 0.8289 | 0.8737 | 0.9922 | Our method | DRISHTI-GS | 0.965 8 | 0.934 1 | 0.964 8 | 0.996 7 | RIM-ONE r3 | 0.918 2 | 0.877 5 | 0.904 8 | 0.993 2 |
|
|