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12 September 2014 Innovative visualization and segmentation approaches for telemedicine
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In health care applications, we obtain, manage, store and communicate using high quality, large volume of image data through integrated devices. In this paper we propose several promising methods that can assist physicians in image data process and communication. We design a new semi-automated segmentation approach for radiological images, such as CT and MRI to clearly identify the areas of interest. This approach combines the advantages from both the region-based method and boundary-based methods. It has three key steps compose: coarse segmentation by using fuzzy affinity and homogeneity operator, image division and reclassification using the Voronoi Diagram, and refining boundary lines using the level set model.
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D. Nguyen, Hans Roehrig, Marisa H. Borders, Kimberly A. Fitzpatrick, and Janet Roveda "Innovative visualization and segmentation approaches for telemedicine", Proc. SPIE 9214, Medical Applications of Radiation Detectors IV, 92140F (12 September 2014);


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