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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)
In this paper, we present a novel approach to the classification of digital mammograms into normal and abnormal classes for breast cancer detection. First, the structures in mammograms produced by normal glandular tissue of varying density are eliminated using a Wavelet Transform (WT) based local average subtraction. Then the linear markings formed by the(More)
Computed radiographic images are usually large in size. So for storage and transmission the image should be compressed. This paper proposes a method in which image compression is achieved by applying linear prediction on wavelet coefficients. The image is decomposed up to four levels using wavelet transform and on the detail coefficients prediction is(More)
AlxtmcfIn 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) based(More)
Scoliosis is a medical condition in which a person's spine is curved from side to side. Current methodology of diagnosis of scoliosis: The doctors analyze an X-ray image and determine the cobb angle and vertebral twist. These two parameters are critical in the treatment of scoliosis. Bottlenecks associated with current methodology are inherent errors(More)
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)
The efficiency of a router in a Network on Chip (NoC) is characterised by good performance, minimum packet latency, area and power. In this paper, we propose an adaptive deflection router for mesh NoC which offers higher speed of operation by reducing the router critical path latency. We propose a single cycle router that uses an intelligent decision making(More)