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A novel idea for detecting abnormal nuclei in cervical smear images is presented. The suspect cells often appear with different externals from surrounding normal ones. Therefore, we are able to find them and focus on processing them instead of segmenting all nuclei in the images. This method combines the bottom-up attention mechanism and the top-down target-driven detection method. We extract both...
The key of a computer-assisted diagnosis system for screening of cervical cancer is the accurate segmentation of cells. In this paper, an adaptive segmentation algorithm based on GVF Snake model is proposed to separate the nucleus from cervical smear model. We set the parameters of the model, and then use the model to segment the cervical cells based on the initial contour of nuclei. The segmentation...
It is intractable problem to segment the fluorescence image of T-cells with different sizes, irregular shape, and severe overlapping by conventional marker-based watershed segmentation. In this paper, Adaptive Marker-controlled Watershed method (AMWS) will be proposed. The Otsu strategy firstly is performed twice in a row to capture as many T-cells as possible. Then based on T-cells' roundish shape,...
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