|
| Algorithm | Image processing techniques | Database | Color space | Sensitivity | Specificity | Accuracy |
|
| Ram and Sivaswamy [41] | Clustering-based method and color space features | DIARETDB1 | RGB, CIE
,
HSV, HIS | 71.96% | — | 89.7% |
|
| Soares et al. [42] | Morphological operators and adaptive thresholding | DIARETDB1 | Green
channel | 97.49% | 99.95% | 99.91% |
|
| Jayakumari and Santhanam [43] | Energy minimization
method using echo state neural network | Private Hospital | — | 90% | — | — |
|
| Karegowda et al. [44] | KNNFP and WKNNFP
classifiers | DIARETDB1 | HIS | — | — | 97.50%
WKNNFP
96.67%
KNNFP |
|
| Amel et al. [45] | Combine the -means
clustering algorithm and
mathematical morphology | Ophthalmologic
Images | CIELab | 95.92% | 99.78% | 99.70% |
|
| Rokade and Manza [46] | Haar wavelets transformation,
KNN classifier | MISP
DIRETDB0,
DIRETDB1, STARE | Green channel | 37.14%, 21.87%, 12.50%, 25.47% | — | — |
|
| Kayal and Banerjee [2] | Median filtering, image thresholding | DIARETDB0
DIARETDB1 | Gray scale | 97.25% | 96.85% | — |
|
| Jaya et al. [47] | Morphological operations,
Circular Hough transform,
Fuzzy support vector machine | Private Hospital | — | 94.1% | 90.0% | — |
|
| Rozlan et al. [48] | Morphology operation, columnwise neighborhoods operation | Sungai Buloh Hospital | Green channel | — | — | 60% |
|
| Soman and Ravi [49] | Circular Hough transform and bit plane slicing, morphological operations | Standard Diabetic
Retinopathy | Green channel | 0.9362 | — | 88% |
|
| Annunziata et al. [50] | Multiple scale Hessian
approach | STARE
HRF | Green channel | — | — | 95.62%
95.81% |
|
| Van Grinsven et al. [51] | Bag of Words approach | Messidor
EUGENDA | HSV, YCbCr | — | — | 0.90 AUC |
|
| Kaur and Mittal [52] | Dynamic region growing
method | SGHS hospital | Gray scale | — | — | 98.65% |
|
