Figure 1
From: Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Four examples of the ChestX-ray14 dataset. ChestX-ray14 consists of 112,120 frontal chest X-rays from 30,805 patients. All images are labeled with up to 14 pathologies or “No Finding”. The dataset does not only include acute findings, as the pneumothorax in figure (c), but also treated patients with a drain as “pneumothorax” (d).
