Abstract
Cirrhosis will cause significant morphological changes on both liver and spleen. In this paper, we constructed not only the liver statistical shape models (SSM), but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. We also proposed a mode selection method based on both its accumulation contribution rate and its correlation with doctor's opinions (labels). The classification performance for normal and abnormal livers is significantly improved by our proposed method. The classification accuracies for normal and cirrhotic livers are 88% and 90%, respectively. © 2013 Springer-Verlag.
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CITATION STYLE
Chen, Y. W., Luo, J., Han, X., Tateyama, T., Furukawa, A., & Kanasaki, S. (2013). A morphologic analysis of cirrhotic liver in CT images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7950 LNCS, pp. 494–501). https://doi.org/10.1007/978-3-642-39094-4_56
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