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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 segmentation plays an important role in both qualitative and quantitative analysis of medical ultrasound images. But the performance of the classical image-segmentation techniques degrades severely when they are applied to segment medical ultrasound images, for medical ultrasound images have features of poor contrast and strong speckle noise. Firstly, this article investigates and compiles some...
This paper demonstrates a heterogeneous windows cluster system to obtain high performance computing (HPC) resources for medical image reconstruction applications. The communication in the cluster system is powered by MPICH open source library. Our works are to provide a simple processes management (PM) system with the functions of load balance in the windows version 1.25 of MPICH library and some...
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