A method for differentiation of pigmented skin lesions based on digital processing of optical images has been proposed. The method implies segmentation and automatic differentiation of lesions based on 5 parameters –the diameter, area, color, shape and smoothness of margins of the lesion. It reveals clinical features of the lesion, required for diagnosis, and allows for calculating a probability of the lesions malignizaion. The proposed method has been verified using 360 imaging of pigmented lesions of the skin in vivo; among them: ordinary, dysplastic nevi of the skin and skin melanoma. The observed sensitivity and specificity of the proposed technique are 97% and 95%, correspondingly.
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