Selby Ian A, González Solares Eduardo, Breger Anna, Roberts Michael, Escudero Sánchez Lorena, Babar Judith, Rudd James H F, Walton Nicholas A, Sala Evis, Schönlieb Carola-Bibiane, Weir-McCall Jonathan R
Department of Radiology, University of Cambridge, 218 Cambridge Biomedical Campus, Cambridge CB2 0QQ, England.
Department of Radiology, Cambridge University Hospitals National Health Services Trust, Cambridge Biomedical Campus, Cambridge, England.
Radiol Artif Intell. 2025 May;7(3):e240003. doi: 10.1148/ryai.240003.
This article presents a suite of quality control tools for chest radiographs based on traditional and artificial intelligence methods, developed and tested with data from 39 centers in seven countries.
本文介绍了一套基于传统方法和人工智能方法的胸部X光片质量控制工具,该工具是利用来自七个国家39个中心的数据开发和测试的。