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The paper introduces an integrated model for monitoring and diagnosis of medical patterns. The designed architecture combines contour let transform and supervised neuro-based classifier for tumor classification of liver and brain tissues of medical images. A contour let based CAD model is proposed to adopt tumor diagnosis for abnormality detection in Computed Tomography (CT) and Magnetic Resonance...
In recent years, processed medical image becomes more and more important to diagnosis. Anamorphic image may result in wrong judgment on state of an illness, even leads to fateful danger. Meanwhile, more efficient data transportation and storage are required with the development of high-resolution photography. Therefore, thousands of researchers work on the field of medical image processing. In this...
Computed tomography (CT) has a trend towards higher resolution and higher noise. This development has increased the interest in anisotropic smoothing techniques for CT, which aim to reduce noise while preserving structures of interest. However, existing smoothing techniques are slow, which makes clinical application difficult. Furthermore, the published methods have limitations with respect to preserving...
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