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Cited by 47COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

BRAX, Brazilian labeled chest x-ray dataset

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Reis, Eduardo P., de Paiva, Joselisa P. Q., da Silva, Maria C. B., Ribeiro, Guilherme A. S., Paiva, Victor F., Bulgarelli, Lucas, Lee, Henrique M. H., Santos, Paulo V. +10 more·2022·Scientific Data
DOI 10.1038/s41597-022-01608-8PMC PMC9364309
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Abstract

Chest radiographs allow for the meticulous examination of a patient’s chest but demands specialized training for proper interpretation. Automated analysis of medical imaging has become increasingly accessible with the advent of machine learning (ML) algorithms. Large labeled datasets are key elements for training and validation of these ML solutions. In this paper we describe the Brazilian labeled chest x-ray dataset, BRAX: an automatically labeled dataset designed to assist researchers in the validation of ML models. The dataset contains 24,959 chest radiography studies from patients presenting to a large general Brazilian hospital. A total of 40,967 images are available in the BRAX dataset. All images have been verified by trained radiologists and de-identified to protect patient privacy. Fourteen labels were derived from free-text radiology reports written in Brazilian Portuguese using Natural Language Processing.

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Authors
Reis, E. P., de Paiva, J. P. Q., da Silva, M. C. B., Ribeiro, G. A. S., Paiva, V. F., Bulgarelli, L., Lee, H. M. H., Santos, P. V., Brito, V. M., Amaral, L. T. W., Beraldo, G. L., Haidar Filho, J. N., Teles, G. B. S., Szarf, G., Pollard, T., Johnson, A. E. W., Celi, L. A., & Amaro, E.
Affiliations
  • Hospital Israelita Albert Einstein (BR)
  • Massachusetts Institute of Technology (US)
  • Hospital for Sick Children (CA)
  • Beth Israel Deaconess Medical Center (US)
Corresponding author
Reis, Eduardo P.
ORCID
Venue
Scientific Data
Publisher
Springer Science and Business Media LLC
Published
2022-08-10
Volume
9
Issue
1
Pages
487-487
ISSN
2052-4463 (ISSN-L)
DOI
10.1038/s41597-022-01608-8
PMC
PMC9364309
OpenAlex
W4291021452
Cited by
47
References
0
Citations by year
2026: 9 · 2025: 20 · 2024: 10 · 2023: 6 · 2022: 2
Type
data paper
Language
en
Open access
Licence
Locations
  • Scientific Data (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • The creation of the BRAX dataset was funded by the MIT-Brazil TVML Seed Fund award (project "Developing a Publicly Accessible Brazilian Dataset of Chest X-Rays”).
  • U.S. Department of Health & Human Services | National Institutes of Health (NIBIB R01 grant EB017205)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
Keywords
chest radiograph, automated image labeling, Brazilian Portuguese, natural language processing, machine learning validation, chest imaging
MeSH terms
Algorithms, Brazil, Humans, Natural Language Processing, Radiography, Thoracic, X-Rays

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