Research Article
Automated Tissue Classification Framework for Reproducible Chronic Wound Assessment
Table 3
Performance evaluation of various classifiers for wound tissue classification.
| Statistical learning schemes | Tissue-wise accuracy (%) | Overall accuracy (%) | Kappa statistic | Granulation | Slough | Necrotic |
| Bayesian classifier | 86.48 | 78.27 | 78.72 | 81.15 | 0.704 | SVM with linear kernel | 82.88 | 86.47 | 48.93 | 72.76 | 0.653 | SVM with 2nd polynomial kernel | 81.98 | 88.69 | 73.40 | 81.35 | 0.718 | SVM with 3rd polynomial kernel | 87.84 | 90.90 | 79.78 | 86.13 | 0.793 | SVM with RBF kernel | 82.88 | 88.91 | 74.46 | 80.08 | 0.697 |
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