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In this paper, we proposed an algorithm for spiculated mass detection using digital down-sampled mammography images. In the algorithm, two-resulotion data is generated with a wavelet transform; For each resolution data, two gradient vector flow fields features, along with the standard deviation of a local edge orientation histogram, the mean, the standard deviation, and the standard deviation of the...
The flat central configurations of four planet motions are investigated with Wu's elimination method. We obtain 12 collinear central configurations and a necessary condition for determining flat but noncollinear central configurations. We also prove that the number of central configurations in planet motions of 4 bodies is finite under the condition that the masses and angular velocity of the planets...
Background Dengue viral infections are prevalent in the tropical and sub-tropical regions of the world, resulting in substantial morbidity and mortality. Clinical manifestations range from a self-limited fever to a potential life-threatening plasma leakage syndrome (dengue hemorrhagic fever). The objective of this study was to assess the utility of near infrared spectroscopy (NIRS) measurements of...
Mass detection is one of the main computer-aided mammographic breast cancer detection techniques. Precisely selecting the regions that contain masses is an important step in mass segmentation using mammographic computer-aided detection. In this paper, an algorithm for extracting mass regions in digital mammograms is proposed, in which we use adaptive histogram equalization to enhance mammograms, use...
In many applications, there are problems of small sample size and high dimensionality of data, for example, in traditional Chinese medicine syndrome classification of chronic gastritis. To attack these problems, this paper gives a method which combines data preprocessing and Bayesian networks. Firstly, data is divided into groups with hierarchical clustering. Then, principal component analysis technique...
In many applications, there are problems of small sample size and high dimensionality of data, for example, in traditional Chinese medicine syndrome classification of chronic gastritis. To attack these problems, this paper gives a method which combines data preprocessing and Bayesian networks. Firstly, data is divided into groups with hierarchical clustering. Then, principal component analysis technique...
This paper describes the design of the whole framework of a VoIP Client System. In this design, we use the design idea of automaton to build the entire dialing and hang up processes, use multithread to implement event synchronous mechanism. Then we use a strategy to couple the Jitter-Buffer design with the automatic adjustment of the redundant packets. This strategy gets a good trade-off at the client...
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