DEEP LEARNING ALGORITHMS FOR CLASSIFICATION OF SKIN DISEASES
Journal: International Scientific Journal "Internauka" (Vol.1, No. 49)Publication Date: 2018-05-15
Authors : Akymov Vadym;
Page : 37-38
Keywords : deep learning algorithms; Convolutional Neural Networks (CNN); classification; skin diseases; fine-grained images;
Abstract
Skin diseases today are among the most common medical problems. The amount of these diseases is constantly growing, despite the development of medicine. Skin cancer is a common malignant neoplasm and has the second rank in the structure of cancer morbidity in Ukraine. Such diseases are diagnosed visually, beginning with clinical examinations, which can be accompanied by dermatoscopy analysis, biopsy and histopathological examination. Of particular interest is the automated classification of skin diseases (both benign and malignant) based on the image of the affected area of the body. Convolutional Neural Networks (CNN) show the potential for analyzing the category of fine-grained images.
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Last modified: 2018-08-07 22:19:07