arudaev/chest-xray-14

---
dataset_info:
features:
- name: image
dtype: image
- name: labels
dtype: string
splits:
- name: train
num_examples: 78468
- name: validation
num_examples: 11210
- name: test
num_examples: 22442
download_size: 45000000000
dataset_size: 45000000000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
task_categories:
- image-classification
task_ids:
- multi-label-image-classification
language:
- en
tags:
- medical
- chest-xray
- radiology
- deep-learning
- big-data
license: unknown
size_categories:
- 100K<n<1M
pretty_name: NIH Chest X-ray14 (Processed for CheXVision)
---

# NIH Chest X-ray14 — Processed for CheXVision

This dataset wraps the [NIH Chest X-ray14](https://huggingface.co/datasets/alkzar90/NIH-Chest-X-ray-dataset) dataset, preprocessed for the **CheXVision** project.

## Dataset Description

- **Source**: NIH Clinical Center
- **Images**: 112,120 frontal-view chest X-ray images
- **Labels**: 14 pathological conditions (multi-label)
- **Resolution**: 1024x1024 (original), resized to 224x224 for training

## Labels

| Label | Count | Prevalence |
|-------|-------|------------|
| Infiltration | 19,894 | 17.7% |
| Effusion | 13,317 | 11.9% |
| Atelectasis | 11,559 | 10.3% |
| Nodule | 6,331 | 5.6% |
| Mass | 5,782 | 5.2% |
| Pneumothorax | 5,302 | 4.7% |
| Consolidation | 4,667 | 4.2% |
| Pleural_Thickening | 3,385 | 3.0% |
| Cardiomegaly | 2,776 | 2.5% |
| Emphysema | 2,516 | 2.2% |
| Edema | 2,303 | 2.1% |
| Fibrosis | 1,686 | 1.5% |
| Pneumonia | 1,431 | 1.3% |
| Hernia | 227 | 0.2% |
| No Finding | 60,361 | 53.8% |

## Usage

```python
from datasets import load_dataset

# Load from source
dataset = load_dataset("alkzar90/NIH-Chest-X-ray-dataset")
```

## Tasks

1. **Multi-label classification**: Predict all 14 pathologies per image
2. **Binary classification**: Normal (No Finding) vs Abnormal (any pathology)

## Citation

```bibtex
@inproceedings{wang2017chestx,
title={ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks},
author={Wang, Xiaosong and Peng, Yifan and Lu, Le and Lu, Zhiyong and Bagheri, Mohammadhadi and Summers, Ronald M},
booktitle={CVPR},
year={2017}
}
```

## Project

Part of the [CheXVision](https://github.com/arudaev/chexvision) project -- Deep Learning & Big Data, AIN.