Abstract
In this study, the proposed texture description method is applied to obtain the description of ultrasound images of hepatic parenchyma. The result of performance characteristics for distinguishing liver fibrosis and normal liver is shown. The diagnostic performance is accessed on two different approaches and two set of parameters including CO-LBP 50 × 50, CO-RLBP 50 × 50, CO-LBP 75 × 75 and CO-RLBP 75 × 75. We find that CO-RLBP method is better than that of CO-LBP method in overall accuracy.
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This work was supported by the National Science Counsel Granted NSC 100-2221-E-214-064-
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© 2014 Springer International Publishing Switzerland
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Lu, NH., Chen, MT., Chang, CK., Fang, MY., Kuo, CM. (2014). A Novel Texture Description for Liver Fibrosis Identification. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_24
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DOI: https://doi.org/10.1007/978-3-319-06740-7_24
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