Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10351518 | Computers in Biology and Medicine | 2013 | 8 Pages |
Abstract
A new algorithm able to automatically diagnose the presence of the hemangioma areas in the hepatic ultrasonographic image is proposed. The algorithm uses a new multi-object approach which decomposes the image into three biological regions: a normal hepatic area, a hemangioma area and other areas. The de-noising process is efficiently accomplished for both Gaussian and Rayleigh noise distributions. Furthermore, a segmentation technique, based on gray level intensity analysis and the Moore-Neighbor contour tracing algorithm for a robust differentiation of the hemangioma area are employed. This new proposed technique is almost fully automatic, fast, and simple and its results are satisfactory.
Related Topics
Physical Sciences and Engineering
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Computer Science Applications
Authors
Luminita Moraru, Dorin Bibicu, Anjan Biswas,