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In this paper, a robust approach for transmission of medical images with concealed patient information as watermark is evinced. In this approach, spatial domain digital watermarking technique is adapted wherein the patient information is embedded as watermark into the lower order bits of the medical image pixels.The watermark,which comprises of text data, is encrypted to prevent unauthorized access...
Many computer-aided diagnosis (CAD) problems can be best modelled as a multiple-instance learning (MIL) problem with unbalanced data, i.e., the training data typically consists of a few positive bags, and a very large number of negative instances. Existing MIL algorithms are much too computationally expensive for these datasets. We describe CH, a framework for learning a convex hull representation...
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