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Wavelet transform (WT) is a potential tool for the detection of microcalcifications, an early sign of breast cancer. This article describes the implementation and evaluates the performance of two novel WT-based schemes for the automatic detection of clustered microcalcifications in digitized mammograms. Employing a one-dimensional WT technique that utilizes(More)
Simple manual RTs to lateral visual stimuli were found to be faster in uncrossed than in crossed anatomical conditions. Neither hand nor hemifield effects were found. By contrast significant asymmetries were found in Choice RTs involving both hemispheres, even in uncrossed condition. The field effect was marked when the responding hand was the right but(More)
Alxtmcf-In this paper, wc prcscr a novel approach to the problem of computer-aided analysis of digital mammograms for breast cancer detection. The algorithm devcloped herc classifics mammograms into norma; & abnormal. First, thc structures in mammograms produced by normal glandular tissue of varying dcnsity are eliminated using a Wavelet Transform (WT)(More)
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