· 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
- 2,589citations
- 2019year
Short summary
CheXpert, a dataset of 224,316 chest radiographs, introduces uncertainty labels to capture ambiguity in radiograph interpretation, enabling CNNs to outperform radiologists on detecting cardiomegaly, edema, and pleural effusion.
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Radiology, Nuclear Medicine and ImagingMedicine