Analysis of Leukoplakia Disease classification using Radial Basis Function Neural Network
|International Journal of Medical Science|
|© 2017 by SSRG - IJMS Journal|
|Volume 4 Issue 3|
|Year of Publication : 2017|
|Authors : Dr. S. Venkatakrishnan, Dr. C. Kalyani and P. Dhanalakshmi|
How to Cite?
Dr. S. Venkatakrishnan, Dr. C. Kalyani and P. Dhanalakshmi, "Analysis of Leukoplakia Disease classification using Radial Basis Function Neural Network," SSRG International Journal of Medical Science, vol. 4, no. 3, pp. 7-11, 2017. Crossref, https://doi.org/10.14445/23939117/IJMS-V4I3P102
Leukoplakia is the most common potentially malignant disorder of the oral mucosa. Usually it is diagnosed by the exclusion of other lesions, which present as oral white plaques like lichen planus, chronic cheek bite, frictional keratosis, tobacco - induced keratosis, leukoedema and white sponge nevus.In this paper the leukoplakia microscopic images are taken and the feature extraction has been achieved using Block Intensity code comparison.After the feature extraction has been done the Radial Basis Function Neural Network classifiers the leukoplakia images from normal to abnormal.The performance has been achieved.
Radial Basis Function Neural Network (RBFNN), Block Intensity Code Comparison (BICC) , Oral leukoplakia, Erythroleukoplakia, Preleukoplakia.
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