Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia

Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia

This dataset is intended to be used for machine learning and is composed of annotations with bounding boxes for pulmonary opacity on chest radiographs which may represent pneumonia in the appropriate clinical setting.

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Veröffentlicht in:Radiology. Artificial intelligence 2019-01, Vol.1 (1), p.e180041-e180041
Hauptverfasser: Shih, George, Wu, Carol C, Halabi, Safwan S, Kohli, Marc D, Prevedello, Luciano M, Cook, Tessa S, Sharma, Arjun, Amorosa, Judith K, Arteaga, Veronica, Galperin-Aizenberg, Maya, Gill, Ritu R, Godoy, Myrna C B, Hobbs, Stephen, Jeudy, Jean, Laroia, Archana, Shah, Palmi N, Vummidi, Dharshan, Yaddanapudi, Kavitha, Stein, Anouk
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Sprache:eng
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Zusammenfassung:This dataset is intended to be used for machine learning and is composed of annotations with bounding boxes for pulmonary opacity on chest radiographs which may represent pneumonia in the appropriate clinical setting.
ISSN:2638-6100
2638-6100
DOI:10.1148/ryai.2019180041