BrachioLab/chestx_pathols
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image
imagewidth (px) 224
224
| pathols
sequencelengths 14
14
| structs
sequencelengths 14
14
|
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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:
- Atelectasis
- Cardiomegaly
- Consolidation
- Edema
- Effusion
- Emphysema
- Fibrosis
- Hernia
- Infiltration
- Mass
- Nodule
- Pleural Thickening
- Pneumonia
- Pneumothorax
The 14 anatomical structures are:
- Left Clavicle
- Right Clavicle
- Left Scapula
- Right Scapula
- Left Lung
- Right Lung
- Left Hilus Pulmonis
- Right Hilus Pulmonis
- Heart
- Aorta
- Facies Diaphragmatica
- Mediastinum
- Weasand
- 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")
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Size of downloaded dataset files:
732 MB
Size of the auto-converted Parquet files:
732 MB
Number of rows:
28,868
Models trained or fine-tuned on BrachioLab/chestx