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Computer-aided Prostate Cancer Detection using Texture Features and Clinical Features in Ultrasound Image
Journal of Digital Imaging, 05/15/08

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Free Abstract

Han SM et al. - Multiresolution autocorrelation can detect cancerous tissues efficiently, and clinical knowledge helps to discriminate the cancer region by location and shape of the region and increases specificity. The support vector machine is used to classify tissues based on those features. The proposed method will be helpful in formulating a more reliable diagnosis, increasing diagnosis efficiency.

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