Deep Learning-based and Machine Learning-based Application in Skin Cancer Image Classification

Abstract Skin cancer arises from the skin and is capable of invading other parts body. The earlier detection malignant lesions effectively helps cure disease prevents fatal cancer. As part AI, machine learning deep can learn characteristics input datasets perform classifications with high accuracy. In this paper, CNN, KNN, SVM models are implemented tested based on collected ISIC. idea implementation to classify images into benign malignant. information GANs model gathered. results display accuracy using these different types lesions. And discussion focuses efficiency implement them. goal study figure out which method more useful in identification. some possible practices also discussed as future expectations.