EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning

arXiv:2405.05237v1 Announce Type: new
Abstract: The diagnosis and treatment of chest diseases play a crucial role in maintaining human health. X-ray examination has become the most common clinical examination means due to its efficiency and cost-effectiveness. Artificial intelligence analysis methods for chest X-ray images are limited by insufficient annotation data and varying levels of annotation, resulting in weak generalization ability and difficulty in clinical dissemination. Here we present EVA-X, an innovative foundational model based on X-ray images with broad applicability …

analysis arxiv cs.cv foundation foundation model general ray self-supervised learning supervised learning type x-ray