Skin cancer is the most common human malignancy. In the most cases skin cancer is diagonised visually. In beginning stage with the help of initial clinical screening and potentially followed by dermoscopic analysis, a biopsy, and histopathological examination.
In this project a computational complex method based on deep learning was implemented that used clinical images. This system is capable of detecting malignant cases from benign ones.