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Table 8 Exp1—classification of individual features while represented using Histogram and Histogram + PCA

From: Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images

Classifier

Metric

Individual Features

Histogram

Histogram + PCA

HoG

\({\text{LBP}}_{8{\text{-}}\mathrm{ri}}\)

\({\text{LBP}}_{16 {\text{-}} \mathrm{ri}}\)

\({\text{LBP}}_{24 {\text{-}} \mathrm{ri}}\)

\({\text{HoG}}^{~\mathrm{PCA}}\)

\({\text{LBP}}_{8 {\text{-}} \mathrm{ri}}^{~\mathrm{PCA}}\)

\({\text{LBP}}_{16 {\text{-}} \mathrm{ri}}^{~\mathrm{PCA}}\)

\({\text{LBP}}_{24 {\text{-}} \mathrm{ri}}^{~\mathrm{PCA}}\)

Linear-SVM

SE

68.7

62.5

75.0

68.7

75.0

87.5

75.0

81.2

 

SP

87.5

81.2

75.0

87.5

75.0

87.5

75.0

81.2

RBF-SVM

SE

93.7

93.7

87.5

87.5

12.5

81.2

81.2

75.0

 

SP

6.2

25.0

25.0

50.0

87.5

81.2

87.5

87.5

RF

SE

62.5

75.0

81.2

68.7

56.2

75.0

75.0

75.0

 

SP

100.0

81.2

87.5

93.7

93.7

81.2

93.7

93.7