Use of Neural Network-Based Deep Learning Techniques for the Diagnostics of Skin Diseases

摘要

Melanoma is currently one of the most dangerous types of cancer. Data from the World Health Organization (WHO) indicate that the incidence of this disease increases inexorably year on year [1, 2]. Although skin melanoma has an external location, the diagnosis is often made at the late stages of disease development due to late medical attendances. At the same time, despite the high death rate, early diagnosis of melanoma and timely treatment can produce virtually 100% survival [3].