Comparative evaluation of pattern based classification of leukoplakia with bicc features by gmm and aann classifiers
International Journal of Development Research
Comparative evaluation of pattern based classification of leukoplakia with bicc features by gmm and aann classifiers
Received 24th May, 2017; Received in revised form 15th June, 2017; Accepted 23rd July, 2017; Published online 30th August, 2017
Copyright ©2017, Venkatakrishnan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Leukoplakia one of the common pre cancerous lesions possess a high risk of malignant transformation. This can be prevented if it is diagnosed and treated earlier. various available Histopathological investigations and molecular research works, attempts are also being made by computer analysts to find out a technique that could accurately diagnose and classify pre cancerous lesions, condition and oral cancer.in this work, BICC (Block Intensity Code Comparison) features were extracted from microscopic images of leukoplakia -affected mucosae and used for classification by GMM and AANN classifiers. The performance was evaluated and compared based on the sensitivity, specificity and accuracy of the results.
