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Proceedings Paper

A novel collaborative representation and SCAD based classification method for fibrosis and inflammatory activity analysis of chronic hepatitis C
Author(s): Jiaxin Cai; Tingting Chen; Yan Li; Nenghui Zhu; Xuan Qiu
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Paper Abstract

In order to analysis the fibrosis stage and inflammatory activity grade of chronic hepatitis C, a novel classification method based on collaborative representation (CR) with smoothly clipped absolute deviation penalty (SCAD) penalty term, called CR-SCAD classifier, is proposed for pattern recognition. After that, an auto-grading system based on CR-SCAD classifier is introduced for the prediction of fibrosis stage and inflammatory activity grade of chronic hepatitis C. The proposed method has been tested on 123 clinical cases of chronic hepatitis C based on serological indexes. Experimental results show that the performance of the proposed method outperforms the state-of-the-art baselines for the classification of fibrosis stage and inflammatory activity grade of chronic hepatitis C.

Paper Details

Date Published: 5 March 2018
PDF: 8 pages
Proc. SPIE 10710, Young Scientists Forum 2017, 107102B (5 March 2018); doi: 10.1117/12.2317657
Show Author Affiliations
Jiaxin Cai, Xiamen Univ. of Technology (China)
Tingting Chen, Xiamen Univ. of Technology (China)
Yan Li, Xiamen Univ. of Technology (China)
Nenghui Zhu, Xiamen Univ. of Technology (China)
Xuan Qiu, The 180th Hospital of People's Liberation Army of China (China)


Published in SPIE Proceedings Vol. 10710:
Young Scientists Forum 2017
Songlin Zhuang; Junhao Chu; Jian-Wei Pan, Editor(s)

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