AI Based Skin Cancer Detection

Abstract

Intelligent skin cancer detection using a balanced collection of photos of various cancer skin moles is the main focus of this study. One common kind of cancer that forms improperly on skin cells is skin cancer. Studies have shown that skin cancer survival rates are much higher when detected early. Basal cell carcinoma, and nevus are the main types of skin cancer that this research aims to discover. In light of the gravity of skin cancer, early detection would allow for a relatively painless diagnosis. Although this kind of skin cancer is more typically seen on sun exposed regions, it may nevertheless develop on less frequently exposed parts of the body.  Usage of CNN’s for diagnosis of skin cancer is thoroughly examined in this study.  Various graphs, photos, and tables are used to enhance the comprehension of the findings.