|
|
--- |
|
|
dataset_info: |
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features: |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: pathols |
|
|
sequence: uint8 |
|
|
- name: structs |
|
|
sequence: |
|
|
sequence: |
|
|
sequence: uint8 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 17021730614.839962 |
|
|
num_examples: 23094 |
|
|
- name: test |
|
|
num_bytes: 4255801185.160039 |
|
|
num_examples: 5774 |
|
|
download_size: 732030045 |
|
|
dataset_size: 21277531800 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
license: apache-2.0 |
|
|
task_categories: |
|
|
- image-classification |
|
|
- feature-extraction |
|
|
--- |
|
|
|
|
|
## Dataset Structure |
|
|
This dataset contains vision data for chest X-ray pathology identification. |
|
|
|
|
|
### Data Fields |
|
|
- **image**: The PIL image of the chest X-ray. These images are size (224,224) by default. |
|
|
- **pathols**: A binary-valued (14)-shaped array that indicates whether each of the 14 pathologies is present. |
|
|
- **structs**: A binary-valued array of shapes (14,224,224) that gives the segmentation for each of the 14 anatomical structures. |
|
|
|
|
|
The 14 pathologies are: |
|
|
|
|
|
0. Atelectasis |
|
|
1. Cardiomegaly |
|
|
2. Consolidation |
|
|
3. Edema |
|
|
4. Effusion |
|
|
5. Emphysema |
|
|
6. Fibrosis |
|
|
7. Hernia |
|
|
8. Infiltration |
|
|
9. Mass |
|
|
10. Nodule |
|
|
11. Pleural Thickening |
|
|
12. Pneumonia |
|
|
13. Pneumothorax |
|
|
|
|
|
The 14 anatomical structures are: |
|
|
|
|
|
0. Left Clavicle |
|
|
1. Right Clavicle |
|
|
2. Left Scapula |
|
|
3. Right Scapula |
|
|
4. Left Lung |
|
|
5. Right Lung |
|
|
6. Left Hilus Pulmonis |
|
|
7. Right Hilus Pulmonis |
|
|
8. Heart |
|
|
9. Aorta |
|
|
10. Facies Diaphragmatica |
|
|
11. Mediastinum |
|
|
12. Weasand |
|
|
13. Spine |
|
|
|
|
|
### Data Splits |
|
|
- **train**: 23094 samples |
|
|
- **test**: 5774 samples |
|
|
|
|
|
|
|
|
## Usage |
|
|
``` |
|
|
from datasets import load_dataset |
|
|
train_dataset = load_dataset("BrachioLab/chestx", split="train") |
|
|
test_dataset = load_dataset("BrachioLab/chestx", split="test") |
|
|
``` |
