Background. Malignant melanoma is among the fastest increasing malignancies in many countries. With the help of new tools,\nsuch as teledermoscopy referrals between primary healthcare and dermatology clinics, the diagnosis of these patients could\nbe made more efficient. The introduction of a high-quality smartphone with a built-in digital camera may make the early\ndetectionmore convenient.This study presents novel directions for early detection ofmalignantmelanoma based on a smartphone\napplication. Objectives and Methods. In this study, we concentrate on a precise description of a complex infrastructure of a fully\nautomated computer-aided diagnostic system for early detection of malignant melanoma. The framework has been customized\nfor a dermoscope that is customized to attach to the smartphone to be able to carry out mobile teledermoscopy. The application\nrequirements, architecture, and computational methods as well as behavioral and dynamic aspects have been presented in this\npaper. Conclusion. This paper presents a broad application architecture, which can be easily customized for rapid deployment of\na sophisticated health application. Mobile teledermoscopy is a new horizon that might become in the future the basis of the early\ndetection of pigmented skin lesions as a screening tool for primary care doctors and inexperienced dermatologists.
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