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Lecture Notes in Computer Science
The paper presents the automated segmentation of spleen and liver from contrast-enhanced CT images of normal and hepato/splenomegaly populations. The method used 4 steps: (i) a mean organ model was registered to the patient CT; (ii) the first estimates of the organs were improved by a geodesic active contour; (iii) the contrast enhancements of liver and spleen were estimated to adjust to patient image characteristics, and an adaptive convolution refined the segmentations; (iv) lastly, adoi:10.1007/978-3-642-04271-3_121 pmid:20448837 pmcid:PMC2864531 fatcat:pqf3jzknjfhalnqv7coadzlapm