Microcalcification enhancement and classification on mammograms using the wavelet transform
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Institute of Electrical and Electronics Engineers (IEEE)
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This paper presents a method to enhance microcalcifications and classify their borders by applying the wavelet transform. Decomposing an image and removing its low frequency sub-band the microcalcifications are enhanced. Analyzing the effects of perturbations on high frequency subband it's possible to classify its borders as smooth, rugged or undefined. Results show a false positive reduction of 69.27% using a region growing algorithm. © 2008 IEEE.
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Proceedings of the International Joint Conference on Neural Networks, p. 3181-3186, 2008.
