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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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Podrobná bibliografie
Vydáno v:Radiol Artif Intell
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Radiological Society of North America 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8017407/
https://ncbi.nlm.nih.gov/pubmed/33937785
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180041
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