1997 IEEE International Conference on Acoustics, Speech, and Signal Processing
DOI: 10.1109/icassp.1997.595440
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Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition

Abstract: In this paper, computer-aided detection and enhancement of microcalcifications in mammogram images are considered. The mammogram image is first decomposed into subimages using a 'subband' decomposition filter bank which uses nonlinear filters. A suitably identified subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated. All regions with high positive skewness and kurtosis are marked as a regions of inte… Show more

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Cited by 9 publications
(5 citation statements)
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“…Student's t-test was performed compared to the normalized control values at t = 50 min unless otherwise indicated and the null-hypothesis was rejected if p<0.05. We identified outliers using boxplots (Gurcan et al, 1997;Gruetter et al, 2001).…”
Section: Methodsmentioning
confidence: 99%
“…Student's t-test was performed compared to the normalized control values at t = 50 min unless otherwise indicated and the null-hypothesis was rejected if p<0.05. We identified outliers using boxplots (Gurcan et al, 1997;Gruetter et al, 2001).…”
Section: Methodsmentioning
confidence: 99%
“…The directions of principal components are defined by the eigenvectors = (c21,e2) of S, and the length of each component is the square root of the eigenvalues A1 = (/X, /X). S ( )T (4) rE Knowing the principal components, the projected data are computed by projecting all the points in segment i onto time corresponding eigenvectors using e[x. The projected data is also smoothed using Bézier methods.…”
Section: Classificationmentioning
confidence: 99%
“…Classification was carried out using wavelet coefficients without inverse wavelet transform. Gurcan et al [16] presented a method based on a 'subband' decomposition filter bank, which used nonlinear filters to classify microcalcifications. They decomposed each mammogram into subimages using the filter bank.…”
Section: Introductionmentioning
confidence: 99%