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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.