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

George Shih , Carol C Wu , Safwan S Halabi , Marc D Kohli , Luciano M Prevedello , Tessa S Cook , Arjun Sharma , Judith K Amorosa , Veronica Arteaga , Maya Galperin-Aizenberg , Ritu R Gill , Myrna C B Godoy , Stephen Hobbs , Jean Jeudy , Archana Laroia , Palmi N Shah , Dharshan Vummidi , Kavitha Yaddanapudi , Anouk Stein

Radiol Artif Intell

Department of Radiology, Weill Cornell Medical College, 525 E 68th St, Box 141, New York, NY 10065 (G.S.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Tex (C.C.W., M.C.B.G.); Department of Radiology, Stanford University School of Medicine, Stanford, Ca

Published: January 2019

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Article Abstract

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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017407PMC
http://dx.doi.org/10.1148/ryai.2019180041DOI Listing

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