| --- |
| dataset_info: |
| features: |
| - name: Path |
| dtype: string |
| - name: Sex |
| dtype: |
| class_label: |
| names: |
| '0': Male |
| '1': Female |
| - name: Age |
| dtype: int64 |
| - name: Frontal/Lateral |
| dtype: |
| class_label: |
| names: |
| '0': Frontal |
| '1': Lateral |
| - name: AP/PA |
| dtype: |
| class_label: |
| names: |
| '0': AP |
| '1': PA |
| '2': '' |
| - name: No Finding |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Enlarged Cardiomediastinum |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Cardiomegaly |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Lung Opacity |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Lung Lesion |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Edema |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Consolidation |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Pneumonia |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Atelectasis |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Pneumothorax |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Pleural Effusion |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Pleural Other |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Fracture |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: Support Devices |
| dtype: |
| class_label: |
| names: |
| '0': unlabeled |
| '1': uncertain |
| '2': absent |
| '3': present |
| - name: image |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 11163990852.674 |
| num_examples: 223414 |
| - name: validation |
| num_bytes: 12063657 |
| num_examples: 234 |
| download_size: 11466560036 |
| dataset_size: 11176054509.674 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| task_categories: |
| - image-classification |
| pretty_name: chexpert |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # CheXpert |
|
|
| CheXpert is a large dataset of chest X-rays and competition for automated chest x-ray interpretation, which features uncertainty labels and radiologist-labeled reference standard evaluation sets. |
|
|
| [https://stanfordmlgroup.github.io/competitions/chexpert/](https://stanfordmlgroup.github.io/competitions/chexpert/) |
|
|
| # Warning on AP/PA label |
|
|
| I could not find in the paper a mapping from the 0/1 label to AP/PA, so I assumed 0=AP and 1=PA. Looking at a few images this seems to be correct, but I'm not a radiologist. |
|
|
| ``` |
| @inproceedings{irvin2019chexpert, |
| title={Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison}, |
| author={Irvin, Jeremy and Rajpurkar, Pranav and Ko, Michael and Yu, Yifan and Ciurea-Ilcus, Silviana and Chute, Chris and Marklund, Henrik and Haghgoo, Behzad and Ball, Robyn and Shpanskaya, Katie and others}, |
| booktitle={Proceedings of the AAAI conference on artificial intelligence}, |
| volume={33}, |
| number={01}, |
| pages={590--597}, |
| year={2019} |
| } |
| ``` |
