CheXpert
Introduced by Irvin et al. in CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
The CheXpert dataset contains 224,316 chest radiographs of 65,240 patients with both frontal and lateral views available. The task is to do automated chest x-ray interpretation, featuring uncertainty labels and radiologist-labeled reference standard evaluation sets.
Source: Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Papers
| Paper | Code | Results | Date | Stars |
|---|
