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. 2020 Sep;12(9):5078–5085. doi: 10.21037/jtd.2019.08.34

Table 1. Datasets used for phase I deep convolutional neural network training and validation.

Dataset Development phase Total number of radiographs used Number with suspected TB (%) Number without suspected TB (%)
NIH CXR Training/validation 11,000 5,381 (48.9)* 5619 (51.1)*
Montgomery County, USA Testing 138 58 (42.0) 80 (58.0)
Shenzhen, China Testing 662 336 (50.8) 326 (49.2)
Johns Hopkins Hospital, Baltimore, MD, USA Testing 100 35 (35.0) 65 (65.0)

*, ground truth determined by a cardiothoracic radiologist. CXR, chest radiograph; TB, tuberculosis.