Application of Wavelets in Detection and Classification of Microcalcifications in Digital Mammograms - Some Recent Advances
نویسندگان
چکیده
Microcalcification clusters in mammograms are an important early sign of breast cancer. Varying densities of parenchymal tissue make visual detection of these masses very difficult. Computeraided diagnosis using wavelet transform is recently being used to improve the diagnostic accuracy and efficiency of screening mammography. Wavelet coeffcients describe the local geometry of an image in terms of scale and orientation apart from being flexible and robust with respect to image resolution and quality. This paper surveys some recent developments in the application of wavelets in enhancement, detection and classification of microcalcifications in mammograms. Possible areas of future research have also been discussed.
منابع مشابه
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تاریخ انتشار 2004