Early detection of skin cancer using deep learning approach
Ibrahim AlShourbaji, Ghassan Samara, Hussam abu Munshar, Waleed A Zogaan, Faheem A Reegu, Shadab alam, Muhammad Saidu Aliero.
Abstract
Skin cancer is a worldwide epidemic. A computerised instrument allows spotting small shifts to change the skin's functionality in an early stage. This paper utilises Convolutional Neural Network (CNN) to identify skin cancers Theattained results demonstrate that the CNN method can effectively identify melanoma and benign cases from X-ray images. This work can help doctors to diagnose cancer in the skin in an initial stage and treat it successfully.
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