Comparative Analysis Based Melanoma Detection In Dermoscopic Images With Deep Learning Techniques

Abstract

Melanoma is a type of skin cancer that matures when melanocytes start to grow out of control which leads to a Noxious Disease. Eventually, Genetics are another factor for this Tumor. It's broadly known that growing levels of ultraviolet (UV) exposure are one of the most motives for this fast rise in the variety of skin cancer cases. Melanoma can be detected or classified using the Artificial Intelligence techniques either using deep learning or machine learning algorithms. In condition to classify the cancer detection, the deep learning algorithms are applied in Melanoma skin cancer dataset of 10000 images in this project.