Classification of leukoplakia using BICC features and RBFNN

Leukoplakia is the most common Potentially malignant disorder of the oral mucosa. Tobacco consumption has been found to be the main causative agent. Due to its high risk for malignant transformation, appropriate diagnosis and proper treatment planning become mandatory. Many other white lesions appearing in the oral mucosa resemble leukoplakia. Diagnosis by exclusion is preferred by the pathologists. As an alternative to routine histopathological investigation, image analysis techniques of extracted features from the lesional micosopic images can be done. These methods are already being experimented in OSMF and oral cancer. This research work is an attempt to classify leukoplakia images with the extracted BICC features using RBFNN pateern classifier.