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A novel method for classifying olp using aann and bicc features

Author: 
Venkatakrishnan, S.
Abstract: 

Oral Lichen Planus (OLP) is a common chronic inflammatory disorder thought to have a low risk of associated malignancy. A genetic predisposition linked to the T cell-mediated immunological response to an induced antigenic change is supposed to lead to OLP lesions. Lichen planus is a muco-cutaneous disease, characterized by an unspecific chronic inflammatory process, which leads to an intense destruction of the basal layer of the epithelium. Lichen planus affects about 1% to 2% of the population, being the most frequent dermatological disease that involves oral cavity. Although relatively common, studies on oral lichen planus are controversial, especially regarding its malignant transformation potential. An attempt is made to provide an enhanced knowledge about computer aided diagnosis of this potentially malignant disorder, to health care providers in order to help in differentiating the OLP affected tissue from normal. Experiments showed significantly satisfactory results with an accuracy of 96%.

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