Detection and Classification of Skin Cancer by using CNN-Enabled Cloud Storage Data Access Control Algorithm based on Blockchain Technology
Sana Nasir, Muhammad Bilal, Humaira Khalidi
Abstract
Skin cancer is one of the most serious problems in the world. In the circumstance of manual examination by a clinic, the human eye is unable to detect disorders. In this research paper I will discuss the deep learning techniques that help to solve the problem of skin cancer. Skin cancer disease is similar to optical properties that choose the useful feature of images. It’s accurate detection and classification of skin disease through images using CNN (Convolutional Neural Network). We used popular datasets to evaluate the performance of our proposed model. Specifically, the model achieves an accuracy of 99.3% on the skin cancer dataset. The aim of this paper is first detection and classification of skin cancer. Secondly, apply the preprocessing technique of skin cancer dataset to find the accuracy of skin cancer disease.