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Wavelet transform matched filters for the detection and classification of microcalcifications in mammography
Washington D.C. October 23-October 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.5297361995 International Conference on Imag ...
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R.N. Strickland, Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Hee Il Hahn, Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
We show that a biorthogonal spline wavelet closely approximates the pre-whitening matched filter for detecting microcalcifications in digitized mammograms. The wavelet transform acts like a bank of such detectors operating at multiple scales. Object shape computed from zero-crossings produced by the same wavelet helps to reduce false alarms. Detection performance is tested on 40 mammograms digitized at 100 /spl mu/m resolution.
Index Terms:
diagnostic radiography; image segmentation; image texture; image classification; wavelet transforms; medical image processing; matched filters; image reconstruction; splines (mathematics); wavelet transform matched filters; mammography; microcalcification detection; microcalcification classification; biorthogonal spline wavelet; pre-whitening matched filter; digitized mammograms; multiple scales; object shape; zero-crossings; false alarms; resolution; breast cancer
Citation:
R.N. Strickland, Hee Il Hahn, "Wavelet transform matched filters for the detection and classification of microcalcifications in mammography," icip, vol. 1, pp.422, 1995 International Conference on Image Processing (ICIP'95) - Volume 1, 1995
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