抽象的な

Outdoor Activities and Sunburn for Skin Cancer Classification

Chao Azim

Background early detection and treatment of skin cancer, whose prevalence is rising annually around the world and constitutes a serious danger to human health; have made significant strides in recent years thanks to the use of artificial intelligence to recognise dermoscopic pictures [1]. The deep backbone of the convolutional neural network has been used to make advances in the categorization of skin cancer images [2]. However, this method only recovers the attributes of the little items in the image and is unable to identify the key components [3]. Objectives: Researchers in the publication thus resort to vision transformers, which have proven to perform well in conventional classification tasks [4]. The goal of the self-attention is to enhance the value of crucial qualities and to eliminate distracting ones [5].