Soft Computing Approach based Segmentation and Analysis of Skin Cancer

Skin melanoma is one of the common and most important cancer among human beings. In recent years, a numerous procedures have been proposed to detect and analyze skin cancer. The initial screening of the skin cancer is carried out visually by a doctor. Later, the suspicious regions are recorded using a digital dermatoscope. In the proposed research work, extraction of the cancerous region from the dermoscopy image is performed using the Firefly Algorithm (FA) based Tsallis function and the Active Contour Segmentation (ACS) procedures existing in the literature. In this work, the well known skin cancer database, DERMQUEST is considered for the analysis. The efficiency of the proposed approach is confirmed using some well known image quality measures. The simulation result of this work confirms that, the proposed approach offers better values of precision, sensitivity, specificity, and accuracy.