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- W2330609339 abstract "The purpose of this study is to investigate the role of shape and texture in the classification of hepatic fibrosis by selecting the optimal parameters for a better Computer-aided diagnosis (CAD) system. 10 surface shape features areextracted from a standardized profile of liver; while15 texture features calculated from gray level co-occurrence matrix(GLCM) are extracted within an ROI in liver. Each combination of these input subsets is checked by using support vector machine (SVM) with leave-one-case-out method to differentiate fibrosis into two groups: normal or abnormal.The accurate rate value of all 10/15 types number of features is 66.83% by texture, while 85.74% by shape features,respectively. The irregularity of liver shape can demonstrate fibrotic grade efficiently and texture feature of CT image isnot recommended to use with shape feature for interpretation of cirrhosis." @default.
- W2330609339 created "2016-06-24" @default.
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- W2330609339 date "2016-03-25" @default.
- W2330609339 modified "2023-09-26" @default.
- W2330609339 title "Comparing the role of shape and texture on staging hepatic fibrosis from medical imaging" @default.
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- W2330609339 doi "https://doi.org/10.1117/12.2216560" @default.
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