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A Knowledge based Technique for Segmenting Liver using Mathematical Morphology
Segmentation of Liver from Computed Tomography (CT) abdomen image is the most basic and important technology and a prerequisite for the diagnosis, treatment planning, and surgery planning. Manual segmentation is time consuming and tedious. To precisely segment and assist radiologist a computer assisted approach is developed. The proposed method integrates knowledge base with mathematical morphology to segment liver. Quantitative evaluation is performed and the mean score of 93% is obtained.
Computed Tomography, Histogram Tail Threshold, Liver Segmentation, Morphological Operations.
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