Table 3. MED-NODE dataset comparative study.
| Preprocessing (enhancement) |
Segmentation | Image Type | Classifier | Accuracy (%) |
Sensitivity (%) |
Specificity (%) |
|
|---|---|---|---|---|---|---|---|
| Kostopoulos et al. [23] |
Yes | Yes | RGB | Probabilistic Neural Network |
76.2 | 73.9 | 77.8 |
| Jafari et al. [18] | Yes | Yes | RGB | SVM | 79 | 90 | 72 |
| Giotis et al. [17] | Yes | Yes | RGB | Majority vote | 81 | 80 | 81 |
| Esfahan et al. [22] | Yes | Yes | RGB | CNN | 81 | 81 | 80 |
| Premaladha, and Ravichandran [24] | Yes | Yes | Gray-scale | DLNN | 92.89 | 94.83 | 90.46 |
| Proposed Method | No | Yes | RGB | DCNN | 97.70 | 97.34 | 97.34 |