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Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

机译：CT中COVID-19肺异常的联邦深度学习：一种隐私保留跨国验证研究

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Qi Dou; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; Egon Burian; Friederike Jungmann; Rickmer Braren; Marcus Makowski; Bernhard Kainz; Daniel Rueckert; Ben Glocker; Simon C. H. Yu; Pheng Ann Heng;
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1. Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images [J] . Pattern recognition letters . 2020,第Jana期

机译：深度学习框架可检测肺部异常-胸部X射线和肺部CT扫描图像研究
2. A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset [J] . Rahimzadeh Mohammad, Attar Abolfazl, Sakhaei Seyed Mohammad Biomedical signal processing and control . 2021,第Pta1期

机译：基于完全自动化的深度学习网络，用于从新的和大型肺CT扫描数据集检测Covid-19
3. Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs [J] . Ju Gang Nam, Minchul Kim, Jongchan Park, The European respiratory journal : . 2021,第5期

机译：胸部射线照相中10个常见异常的深度学习算法的开发与验证
4. Deep learning to distinguish COVID-19 from other lung infections, pleural diseases, and lung tumors [C] . Ali Serener, Sertan Serte Tip Teknolojileri Kongresi . 2020

机译：深入学习，将Covid-19与其他肺部感染，胸膜疾病和肺肿瘤区分开来
5. A learning approach to detecting lung nodules in CT images. [D] . Aschenbeck, Michael G. 2009

机译：一种在CT图像中检测肺结节的学习方法。
6. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study [O] . Qi Dou, Tiffany Y. So, Meirui Jiang, 2021

机译：CT中COVID-19肺异常的联邦深度学习：一种隐私保留跨国验证研究
7. Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images [O] . Abhir Bhandary, G. Ananth Prabhu, V. Rajinikanth, 2020

机译：检测肺异常的深度学习框架 - 胸部X射线和肺CT扫描图像的研究

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

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