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EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
May 9, 2024, 4:45 a.m. | Jingfeng Yao, Xinggang Wang, Yuehao Song, Huangxuan Zhao, Jun Ma, Yajie Chen, Wenyu Liu, Bo Wang
cs.CV updates on arXiv.org arxiv.org
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
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