The EMory BrEast imaging Dataset (EMBED): a racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images
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Mammography, Breast, Machine Learning © RSNA, 2023.
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There are efforts to generate more diverse public datasets, such as EMBED, and instances where AI performance has generalized well across different patient populations.
“Conversely, there are efforts to generate more diverse public data sets, such as EMBED (180), and instances where AI performance has generalized well across different patient populations (9,10,12).”
From Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions (2024) · cites this paper as [180]
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References 24 · Cited by 92
Research works printed but not linked: 3
- Halling-Brown MD, Looney PT, Patel MN, Warren LM, Mackenzie A, Young KC. The oncology medical image database (OMI-DB). In: Law MY, Cook TS, eds. Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations. Vol 9039. SPIE Proceedings. SPIE; 2014; 903906.
- Magny SJ, Shikhman R, Keppke AL. Breast Imaging, Reporting and Data System (BI RADS). StatPearls. January 2018. https://www.ncbi.nlm.nih. gov/books/NBK459169/. Accessed November 2021.
- El Boukkouri H, Ferret O, Lavergne T, Noji H, Zweigenbaum P, Tsujii J. CharacterBERT: reconciling ELMo and BERT for word-level open-vocabulary representations from characters. In: Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020; 6903-6915.
- Authors
- Jeong, J. J., Vey, B. L., Bhimireddy, A., Kim, T., Santos, T., Correa, R., Dutt, R., Mosunjac, M., Oprea-Ilies, G., Smith, G., Woo, M., McAdams, C. R., Newell, M. S., Banerjee, I., Gichoya, J., & Trivedi, H.
- Affiliations
- Georgia Institute of Technology (US)
- Corresponding author
- Jeong, Jiwoong J.
- Vey, Brianna L.
- ORCID
- Venue
- Radiology Artificial Intelligence
- Published
- 2023-01-01
- Volume
- 5
- Issue
- 1
- Pages
- e220047-e220047
- ISSN
- 2638-6100 (ISSN-L)
- PMC
- PMC9885379
- OpenAlex
- W4313477008
- Cited by
- 92
- References
- 24
- Citations by year
- 2026: 28 · 2025: 30 · 2024: 20 · 2023: 14
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Radiology Artificial Intelligence (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DigitalCommons - Kennesaw State University (Kennesaw State University) (submittedVersion)
- Funders
- National Center for Advancing Translational Sciences of the National Institutes of Health (UL1TR002378)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Digital Radiography and Breast Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Keywords
- mammography, breast imaging, breast cancer screening, breast cancer diagnosis, racial diversity, machine learning
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