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Table 2 Quantitative results of exploring the effect of preprocessing methods on the segmentation results

From: Lesion segmentation in breast ultrasound images using the optimized marked watershed method

Methods

Dice (%)

CLAHE

CF

SWF

Separate(A)

Separate(B)

Overall

\(\surd \)

\(\surd \)

\(\surd \)

\(\varvec{87.34}\)

86.84

87.09

\(\surd \)

\(\surd \)

\(\times \)

86.18

87.13

86.66

\(\surd \)

\(\times \)

\(\surd \)

87.22

\(\varvec{87.52}\)

\(\varvec{87.37}\)

\(\times \)

\(\times \)

\(\surd \)

86.11

86.45

86.28

\(\times \)

\(\times \)

\(\times \)

77.26

75.80

76.53

  1. Bold indicates the best results in the current column
  2. CLAHE: contrast limited adaptive histogram equalization; CF:curvature filter; SWF: side window filter