Outdoor Activities and Sunburn for Skin Cancer ClassificationAuthor(s): 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 . The deep backbone of the convolutional neural network has been used to make advances in the categorization of skin cancer images . However, this method only recovers the attributes of the little items in the image and is unable to identify the key components . Objectives: Researchers in the publication thus resort to vision transformers, which have proven to perform well in conventional classification tasks . The goal of the self-attention is to enhance the value of crucial qualities and to eliminate distracting ones .