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Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis—An SVM based approach by M. Muthu Rama Krishnan; Mousumi Pal; Suneel K Bomminayuni; Chandan Chakraborty; Ranjan Rashmi Paul; Jyotirmoy Chatterjee; Ajoy K. Ray is a Medicine article available to read on EtoBox.
What is Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis—An SVM based approach about?
vector machine (SVM) a b s t r a c t Quantitative evaluation of histopathological features is not only vital for precise characterization of any precancerous condition but also crucial in developing automated computer aided diagnostic system. In this study segmentation and classification of sub-epithelial connective tissue (SECT) cells except endothelial cells in oral mucosa of normal and OSF conditions has been reported. Segmentation has been carried out using multi-level thresholding and subsequently the cell population has been classified using support vector machine (SVM) based classifier. Moreover, the geometric features used here have been observed to be statistically significant, which enhance the statistical learning potential and classification accuracy of the classifier. Automated classification of SECT cells characterizes this precancerous condition very precisely in a quantitative manner and unveils the opportunity to understand OSF related changes in cell population having definite geometric properties. The paper presents an automated classification method for understanding the deviation of normal structural profile of oral mucosa during precancerous changes.
Who reads Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis—An SVM based approach?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- M. Muthu Rama Krishnan; Mousumi Pal; Suneel K Bomminayuni; Chandan Chakraborty; Ranjan Rashmi Paul; Jyotirmoy Chatterjee; Ajoy K. Ray
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0010-4825)
- Published
- 2009
- Language
- EN
- Field
- Medicine (Physical Sciences)