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A new algorithm for segmentation of suspected lung ROI (regions of interest) by mean-shift clustering and multi-scale HESSIAN matrix dot filtering was proposed. Original image was firstly filtered by multi-scale HESSIAN matrix dot filters, round suspected nodular lesions in the image were enhanced, and linear shape regions of the trachea and vascular were suppressed. Then, three types of information,...
Medical image understanding is a computing process of object recognition in medical image using computer vision, applied mathematics, signal analysis and artificial intelligence. This paper provides a medical image understanding process definition language (MPDL) which aims at solving the problem of object recognition in medical image and satisfying the requisition of stable and high precision medical...
Multi-channel communication in a Wireless Mesh Network with routers having multiple radio interfaces significantly enhances the network capacity. Efficient channel assignment is critical for realization of optimal throughput in such networks. This paper addresses the channel assignment problem for multi-channel multi-interface (radio) wireless mesh networks. We focus on static wireless mesh networks...
A text information extraction strategy for medical imaging diagnostic report is proposed in this paper. The knowledge used by this strategy is represented as base-element and composite-element. Under the control of knowledge base, diagnostic reports would be transformed into structured information. The strategy makes full use of the extensibility of Extenics to extend existing knowledge. Experimental...
Chan-Vese's image segmentation method proposed based on level sets method is studied and improved in this paper. A new level set method has been presented, which combines the average values of global regions and local boundary information, and it is used for lung nodules detection for CT images. The experiment results verify that it is a robust way for the segmentation of lung body and the detection...
Although medical image segmentation is very important in the clinical application, how to obtain an accurate and quickly image segmentation is a difficulty to overcome because the distribution of gray is asymmetric and the number of the date is large. Basing the distance field, an algorithm of nonlinear image interpolation segmentation is presented. Algorithm adopts the cosine non-linear instead of...
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