Convolution Neural Network Models to Detect Melanoma: A Review
Palanichamy Naveen, R. Saravana Kumar, Su-Cheng Haw, Kok-Why Ng, Elham Abdulwahab Anaam · 2022
Skin cancer is one of the most serious health issues that humans face.Dermatologists face difficulty in making a skin cancer diagnosis because many skin cancer pigments seem alike.Early detection of skin cancers like Melanoma means a better chance of survival for the patient otherwise it can be life-threatening.For computer vision problems like image classification, deep learning has proven to be the state-of-the-art.There has been a great deal of research into the use of deep learning to automate skin cancer screening.The objective of this paper is to review the state-of-the-art CNN techniques used for Melanoma detection.This paper presents an overview of CNN, followed by analysing the existing work carried out in the area of Melanoma skin cancer detection using Convolution Neural Network (CNN).