SKIN CANCER PREDICTION

Skin cancer is a prevalent and potentially deadly disease, but early detection greatly improves treatment outcomes. This study presents a deep learning approach for skin cancer prediction using various Transfer Learning and Ensemble Learning trained model which consists of MobileNet, Inception and Xception Learning on pre-trained models for prediction of Skin Cancer based on the image scans of the infected part of the body. The need for early detection of Skin Cancer has become a crucial need in the medical industry and a very demanding application in need, this article examines the use of a skin cancer software for public to alert them through early prediction.