Detection of melanoma in skin lesion images using deep learning neural network

Abstract

Melanoma is a serious type of skin cancer disease that increases over the past decades in the world and as a sequel to curing strategy in the medical field, an automatic detection of skin lesions using dermoscopic images has been still a challenging and complicated task. This kind of difficulty occurs in the diagnosis of lesion on owing to the following factors such as: indistinct lesion borders, poor color contrast, location dependent, shape variations and complex structures of the lesions. The progressing public health burden issues have to be detected early and treated in proper ways toprevent further spreading to other organs of the body through which medical professionals and researchers can save several lives. When there is an abnormal change in the appearance of skin, then there is a chance for the subject that may be affected by melanoma. To obtain better solutions, the knowledge of dermatology has to be combined with computer vision techniques for efficient melanoma detection. Hence, it is important to develop various detection techniques to assist clinicians to diagnose melanoma at early stages.This proposal presents a novel scheme for melanoma detection by means of dermoscopy images. The assessment approach of melanocytic lesions can be accomplished by using a non-invasive technique called as the pigmented skin lesions and also to discriminate benign from malignant lesions, particularly in the finding of melanoma. newline