Enhancing melanoma skin cancer classification through data augmentation

The purpose of this study is to propose a convolutional neural network (CNN) to help dermatology physicians in the inspection, identification, and diagnosis of skin cancer. [...]we offer an automated method that leverages deep learning techniques to categorize binary categories of skin lesions. Section 3 presents the methodology where we first provide an overview of the SIIM-ISIC 2020 dataset, followed by its preprocessing, then, we explain data augmentation, classification model and network deployment, and training and model assessment. Section 4 covers the suggested model's experimental outcomes including evaluation and comparative research.