The Skin Lesion Detection and Classification Using Deep Learning

Areej Fatima

Abstract

Exposure to ionizing radiation (IR) can cause basal cell carcinoma (BCC) development. A skin lesion is a region that is differentiable from another skin surface which can occur because of skin damage, allergy, etc. Even though the majority of skin lesions are mild and are not that dangerous yet few of them are infectious and their severity can turn into skin cancer. In the USA, 5.4 million people are analyzed with skin cancer. The diverse types of skin lesions result in an incorrect diagnosis because of their high similarity. Skin lesions can be treated by dermatologists. The current work proposes a model for the classification of skin lesions. The proposed methodology aims to detect and classify skin lesions using potential and different deep-learning algorithms. The research focuses to achieve state-of-the-art accuracy and compare the performance of algorithms.