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The content of data of medical images are quite rich and include a large amount of hidden knowledge and patterns which is difficult for users to discover. In order to solve this problem, this paper firstly clusters the region of interest (ROI) extracted from the medical images and marks these images using these clustered ROI. Then we present Diff_FP-growth algorithm with the guidance of medical domain...
Image mining is a growing research focus and is more than just an extension of data mining to image domain but an interdisciplinary endeavor. Very few people have systematically investigated this field. Mining association rules in medical images is an important part in domain- specific application image mining because there are several technical aspects which make this problem challenging. In this...
Based on the recently-developed crease enhancement diffusion (CED) filter, and combined the sharpening qualities of shock filters with excellent edge preservation and excellent smoothing for flat regions of total variation(TV) filter, an adaptive coupled diffusion(ACD) filter is proposed to enhance the local coherence of vascular structures for medical images. This filter is tested on several experiments...
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