Table 10 Exp2—classification results using Histogram + PCA + BoW representation
From: Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images
Histogram + PCA + BoW | ||||
|---|---|---|---|---|
Metric | ||||
Classifier | # Words | SE | SP | |
LBP\(_{8{\text{-}}\mathrm{ri}}^{\mathrm{PCA}}\) | Linear-SVM | 10 | 62.5 | 75.0 |
LBP\(_{16{\text{-}}\mathrm{ri}}^{\mathrm{PCA}}\) | RBF-SVM | 30 | 81.2 | 50.0 |
LBP\(_{16{\text{-}}\mathrm{ri}}\) | RF | 40 | 56.2 | 50.0 |
LBP\(_{16{\text{-}}\mathrm{ri}}^{\mathrm{PCA}}\) | RF | 50 | 68.7 | 50.0 |