Melanoma cancer is a type of skin cancer and is the most dangerous one because it causes
the most of skin cancer deaths. Melanoma comes from melanocyte cells, melaninproducing
cells, so that melanomas are generally brown or black coloured. Melanomas are mostly
caused by exposure to ultraviolet radiation that damages the DNA of skin cells. The
diagnoses of melanoma cancer are often performed manually by using visuals of the skilled
doctors, analyzing the result of dermoscopy examination and match it with medical sciences …

Background and Aim: The current state of art solution for detecting melanoma using
Convolutional Neural network has not considered selection of only affected areas from the
input images of skin lesion which has resulted in the unnecessary processing of non-
affected skin parts and thus less accuracy. The aim of this research is to propose a new
solution to solve the above issue by creating a bounding box around the affected areas and
decrease the search space by regression technique which results in more accuracy for …