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Medical image recognition is an important task in both computer vision and computational biology. In the field of medical image classification, representing an image based on local binary patterns (LBP) descriptor has become popular. However, most existing LBP-based methods encode the binary patterns in a fixed neighborhood radius and ignore the spatial relationships among local patterns. The ignoring...
Currently, surgery is the most effective and common way to treat cataract, one of the leading causes for blindness worldwide. Of all surgical methods, phacoemulsifieation is the most popular. During the operation, surgeons have to evaluate the hardness degree of the cataractous lens by themselves. To make the evaluation intelligent, a machine-aided classification method for cataractous lens is proposed...
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