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Table 4 Performance of sequential classifiers using the DDSM database

From: Automatic detection of anomalies in screening mammograms

Wavelet basis§

Classified normal

Classified suspicious

Confidence level (%)

 

Actually normal

Actually suspicious

Actually normal

Actually suspicious

C even (N)

C even (S)

Haar

390

5

675

644

97.9

61

Bior 3.7

268

2

407

642

98.8

72.1

Bior 2.2

103

4

304

638

94

77.5

Bior 6.8

131

7

173

631

91.9

85.7

Db 2

87

10

86

621

84.1

92.2

Bior 5.5

20

6

67

615

67

93.8

Bior 1.5

21

8

45

607

61.5

95.7

Db 8

15

11

30

596

45.5

97

  1. §Wavelet basis notation: Dbn where n describes the number of coefficients used in the wavelet. Db2 encodes polynomials with two coefficients, i.e. constant and linear components. Biorm.n where n describes the order for decompositiona and m is the order used for reconstruction.
  2. Suspicious images were passed to the next classifier in the chain.