Classification and synthesis of medical images in the domain of melanocytic skin lesions

In this paper, computer-aided diagnosing and classification of melanocytic skin lesions is dealt with and briefly described. The main goal of our research was to elaborate an entirely new version of the previously developed decision support system, available now in the Internet. Its functionality and structure is here in short reported. In the current version of the system, five learning models are implemented to supply five independent results. Then, a special voting algorithm is applied to select the correct class (concept) of the diagnosed skin lesion. Additionally, some algorithms to synthesize static images of melanocytic skin lesions are briefly outlined.