Research Article

Automatic Detection of Microaneurysms in OCT Images Using Bag of Features

Table 1

Evaluation of the proposed method.

Classification methodEvaluation criteria
AccuracySensitivitySpecificityPrecision

1BOF+MLP96.33%97.33%95.4%95.28%
2BOF+Gaussian SVM91.63%88.27%95.02%94.65%
3BOF+linear SVM91.13%86.52%95.78%95.40%
4BOF+KNN84.19%73.14%95.28%93.95%
5BOF+Naïve Bayes87.75%85.65%89.91%89.48%
6PCA+MLP92.52%93.93%92.22%92.36%
7PCA+Gaussian SVM83.38%85.53%81.28%82.16%
8PCA+linear SVM80.94%77.77%84.15%83.19%
9PCA+KNN57.32%14.77%99.39%96.32%
10PCA+Naïve Bayes76.13%76.14%76.15%76.14%