Pigment Network Identification on PH2
91.1SensitivityAdaBoost
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| AdaBoostType=AdaBoost classifier2026.01 | 91.1 | 82.1 | 86.2 | 86.2 | |
| Proposed approachClassifier=CNN, Pre-processing=directed imaging algorithm with PCA and contrast enhancement2026.01 | 90 | 89 | 90 | 90 | |
| Naïve BayesAlgorithm components=region histogram, co-occurrence matrix, run-length matrix, gradient matrix, autoregression model2026.01 | 85 | 88.5 | 85 | 87 | |
| ANNArchitecture=two layers feed-forward2026.01 | 84.6 | 88.7 | 86.7 | 86.7 |