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Table 2 Success results

From: Consistent performance measurement of a system to detect masses in mammograms based on blind feature extraction

Success results

 

SVM classifier

NN classifier

Scanner

Learning (%)

Test(%)

Learning(%)

Test(%)

 

Train(80%)

Val(20%)

 

Train(80%)

Val(20%)

 

HOWTEK 960

96.38

93.89

75.29

95.40

89.52

71.22

HOWTEK MultiRAD 850

98.71

91.91

82.71

87.27

80.88

80.56

DBA M2100

99.80

97.46

58.69

99.29

96.90

57.75

LUMISYS

94.17

90.75

71.72

94.68

88.01

76.62

Overall results

92.31

88.22

86.93

90.88

86.14

84.95

  1. The final success rates. The learning set is divided into two: the training subset (Train) and the validation subset (Val), corresponding to 80% and 20% of the prototypes in the learning set, respectively. For each of the four scanners named in the leftmost column, the learning set consisted only of mammograms digitized by that make of scanner.
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