Table 5.
Summarization and comparison of classification performance using 4 MLP classifiers.
| MLP Classifier | Original segmentation | Optimally mapped segmentation | ||
|---|---|---|---|---|
| DES images | LE images | DES images | LE images | |
| Overall accuracy | 68.3% | 72.1% | 68.5% | 78.4% |
| AUC±STD | 0.769±0.053 | 0.753±0.047 | 0.737±0.048 | 0.848±0.038 |
| PPV | 85.5% | 86.2% | 82.1% | 87.5% |
| NPV | 42.9% | 52.2% | 47.7% | 61.5% |