Table 4 The experimental results illustrate the average performance metrics for different stages of the proposed method.
Algorithms | Avg. Acc. | Avg. Pre. | Avg. Spec. | Avg. Sen | Avg. Dice | Avg. IoU | Avg. TP | Avg. FP | Avg. TN | Avg. FN |
|---|---|---|---|---|---|---|---|---|---|---|
FCM (before preprocessing) | 69.80% | 69.78% | 69.82% | 68.92% | 68.42% | 55.62% | 1420 | 622 | 3151 | 689 |
FCM (coarse segmentation) | 72.41% | 71.68% | 72.10% | 72.53% | 71.08% | 59.74% | 1486 | 580 | 3185 | 642 |
FCM-FRWS + MDOT (before preprocessing) | 89.10% | 89.24% | 89.07% | 89.16% | 89.04% | 81.21% | 1811 | 198 | 3702 | 222 |
FCM-FRWS + MDOT (fine segmentation) | 91.62% | 90.89% | 91.26% | 91.78% | 90.74% | 83.90% | 1872 | 176 | 3740 | 198 |
