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Over 1.4 billion chest X-rays (CXRs) are performed annually due to their cost-effectiveness as an initial diagnostic test.
“Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents”
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Earlier work this paper cites.
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World Organization · 2016
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Alistair Johnson, Tom Pollard, Nathaniel Greenbaum, Matthew Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger Mark, Seth Berkowitz and Steven Horng · 2019
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“SIIM-ACR Pneumothorax Segmentation 2019”, 2019
American College of Radiology · 2019
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George Shih, Carol Wu, Safwan Halabi, Marc Kohli, Luciano Prevedello, Tessa Cook, Arjun Sharma, Judith Amorosa, Veronica Arteaga and Maya Galperin-Aizenberg · 2019
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“Object-CXR - Automatic detection of foreign objects on chest X-rays”, 2019
JF Healthcare · 2019
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Asma Ben Abacha, Sadid. Hasan, Vivek. Datla, Joey Liu, Dina Demner-Fushman and Henning Müller · 2019
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RJM Bruls and RM Kwee · 2020
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