Under a close collaboration with an expert radiologist team of the Hospital Universitario San Cecilio, the COVIDGR-1.0 dataset of patients' anonymized X-ray images has been built. 852 images have been collected following a strict labeling protocol. They are categorized into 426 positive cases and 426 negative cases. Positive images correspond to patients who have been tested positive for COVID-19 using RT-PCR within a time span of at most 24h between the X-ray image and the test. Every image has been taken using the same type of equipment and with the same format: only the posterior-anterior view is considered.
Variants: COVIDGR
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| COVID-19 Diagnosis | DINO-CXR | DINO-CXR: A self supervised method … | 2023-08-01 |
| Medical Image Classification | DINO-CXR | DINO-CXR: A self supervised method … | 2023-08-01 |
Recent papers with results on this dataset: