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Goal: Mammography is the most effective technique for breast cancer screening, and the detection of abnormalities plays a vital role in Computer Aided Detection (CAD) system. This paper proposes a detection method for abnormal mammograms based on improved saliency detection. Methods: The proposed method comprises three main steps: firstly, enhance abnormal mammograms using dual morphological top-hat...
In this paper, a new multi-objective cat swarm optimization algorithm has been proposed. The algorithm applies the part of individuals into the seeking mode and the other part of individuals into the tracing mode non-randomly. Cat map is used to initialize individuals of population. In this way, individuals can avoid trapping into local optimal in the final iteration process and the search ability...
Image segmentation is an important task in the analysis of mammograms and it is challenging because the masses are low contrast with ambiguous margins. The classical Vector Field Convolution (VFC) method has demonstrated its merits in image segmentation; however it is difficult to capture the ambiguous object boundaries. In this work, a new snake model is proposed to solve this problem, this proposed...
The article described a new design of high-speed data transmission, used in BESIII trigger system, with optical fibre that was based on the on-chip serial/deserial transceiver in FPGA. A special custom protocol is defined to transfer the consecutive and real-time data, recover and process the data belongs to the same event at the same time. The design was tested for a long period run. A high level...
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