A Perspective Survey on Skin Cancer Detection Using Deep Learning

Different kinds of cancer were found in humans, and among them, skin cancer is the most dangerous type of cancer. Various types of Skin cancers are found. Among them, melanoma is the most Hazardous if it is not found early. It is helpful to cure Melanoma cancer if it is detected in the early stage. Computer vision can play an essential role in Medical Image Diagnosis. Skin lesion image is the input to the system, and it analyses to decide the presence or absence of skin cancer by applying novel image processing techniques. The lesion image analysis tools check the various Melanoma skin cancer parameters Like Asymmetry, Border, Colour. From the extracted feature parameters, it is classified that the image is Normal skin or Melanoma cancer lesion. This paper reviews various researchers' research. contributions in detecting skin cancer present using machine learning and deep learning techniques.