Novel VLSI Architecture for Real Time Medical Image Segmentation
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Novel VLSI Architecture for Real Time
Medical Image Segmentation
Abstract— Novel VLSI Architecture for Real Time
Medical Image Segmentation. Image segmentation plays an important role in the processing of medical images. Segmentation of medical images is a challenging task due to the poor image contrast and the diffusion of organs or tissue boundaries. Due to the emergence of new trends in the engineering technologies many medical diagnosis methods are automated using the image processing principles. Hence in this paper hardware implementation of segmentation of brain tumors is carried out using Xilinx System Generator < Final Year Projects 2016 > XSG and FPGA. It results in greater performance, less design time and cost than the existing programmable Digital Signal Processors (DSPs) or than even PCs with co-processors due to lot of parallelism and pipelining.
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