Datasets:
metadata
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/
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}
}