Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEMBS.2011.6091116
Title: Automated scoring of liver fibrosis through combined features from different collagen groups
Authors: Xu, S.
Tai, D.
Wee, A.
Welsch, R.
So, P.
Yu, H. 
Rajapakse, J.
Issue Date: 2011
Citation: Xu, S.,Tai, D.,Wee, A.,Welsch, R.,So, P.,Yu, H.,Rajapakse, J. (2011). Automated scoring of liver fibrosis through combined features from different collagen groups. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS : 4503-4506. ScholarBank@NUS Repository. https://doi.org/10.1109/IEMBS.2011.6091116
Abstract: Liver biopsy remains the gold standard in monitoring progression of liver fibrosis associated with an abnormal increase in collagen. Descriptive scoring systems are still being widely used to grade biopsy samples. In this study, we propose a new set of features by clustering collagen fibers into three groups first based on their localization and connectivity properties, and then by extracting morphological features of collagen fibers. The new feature set is compared to the earlier features used in classification of liver fibrosis, which were based on the total amount of collagen fibers. Our results show that new features lead to more accurate grading of liver fibrosis. © 2011 IEEE.
Source Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
URI: http://scholarbank.nus.edu.sg/handle/10635/115386
ISBN: 9781424441211
ISSN: 1557170X
DOI: 10.1109/IEMBS.2011.6091116
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