Skin Lesion Segmentation and Classification Using Deep Learning

Abstract

Abstract: Classification of skin lesions has recently received a lot of attention. Due to the high degree of similarity between the skin lesions, physicians frequently take a long time to examine them. A deep learning-based automated classification system can help doctors identify the type of skin lesion and improve the patient's health. With the development of deep learning architecture, the classification of skin lesions has emerged as a popular area of research. In this research, we present a method to use segmentation and techniques like Averaging of Deep Learning Architectures and classify skin lesions. We evaluated the proposal using a large dataset: HAM 10000. Our numerical results using VGGNet and ResNet using good results on the mentioned dataset.