NIH Chest X-ray Dataset

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The NIH Chest X-ray dataset consists of 100,000 de-identified images of chest X-rays. The images are in PNG format.

The data is provided by the NIH Clinical Center and is available through the NIH download site: https://nihcc.app.box.com/v/ChestXray-NIHCC

You can also access the data via Google Cloud Platform (GCP), as described below.

License and attribution

There are no restrictions on the use of the NIH Chest X-ray images. However, the dataset has the following attribution requirements:

  • Provide a link to the NIH download site: https://nihcc.app.box.com/v/ChestXray- NIHCC

  • Include a citation to the CVPR 2017 paper:

    Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald Summers, ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases, IEEE CVPR, pp. 3462-3471, 2017

  • Acknowledge that the NIH Clinical Center is the data provider

GCP data access

You can get the NIH chest x-ray images from Cloud Storage or via the Healthcare API.

Cloud Storage

The NIH chest x-ray data is available in the following Cloud Storage bucket:

gs://gcs-public-data--healthcare-nih-chest-xray

Use Google Cloud Platform Console to view the bucket.

The bucket includes paths to the original PNG files, as well as to DICOM instances:

PNG (provided by NIH):

gs://gcs-public-data--healthcare-nih-chest-xray/png/FILENAME.png

DICOM (provided by Google):

gs://gcs-public-data--healthcare-nih-chest-xray/dicom/FILENAME.dcm

The Cloud Storage bucket uses the "Requester Pays" model for billing. Your GCP project will be billed for the charges associated with accessing the NIH data. For more information, see Requester Pays.

Healthcare API

To request access to the NIH dataset via the Healthcare API, complete this form.

The data uses the following DICOM store hierarchy:

Project: chc-nih-chest-xray
Dataset: nih-chest-xray
DICOM store: nih-chest-xray

For more information, see the DICOM overview and Using the DICOMweb Standard.

Data viewers

After you've been given access to the dataset, you can also use the viewers that are integrated with the Healthcare API:

eUnity: https://demo.eunity.app

IMS: https://cloudview.imstsvc.com

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