Analysis of mammographic microcalcifications using a computationally efficient filter bank
نویسنده
چکیده
We present a new method for classification of malignant and benign clusters of microcalcifications in digital mammograms. A computationally efficient infinite impulse response (IIR) quadrature mirror filter (QMF) bank is used as a tool for extracting texture and shape features. The filter bank splits the input image into four subbands: low-low band, low-high band, high-low band and highhigh band. Texture and shape features based on co-occurrence matrices are computed from the subsampled subbands. The low-low band extracts the information of spatial dependence and the higher frequency bands extract the shape information. The results of an experimental study demonstrate that our approach drastically improves the overall performance compared to a manual system.
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Microcalcifications Using a Multichannel Filtering Approach
This paper presents a method for classification of Mammographic Microcalcifications using Quadmture Mirror Filter (QMF) bank subband decomposition as a tool for extracting textuml features. The QMF bank splits the input image into four subbands: low-low band, low-high band, high-low band and high-high band, and textural features baaed on eo-occurrence matrices are computed from the subsampled s...
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