Categorized contrast enhanced mammography dataset for diagnostic and artificial intelligence research

Rana Khaled; Maha Helal; Omar Alfarghaly; Omnia Mokhtar; Abeer Elkorany; Hebatalla El Kassas; Aly Fahmy

doi:10.1038/s41597-022-01238-0

Scientific Data (Mar 2022)

Categorized contrast enhanced mammography dataset for diagnostic and artificial intelligence research

Rana Khaled,
Maha Helal,
Omar Alfarghaly,
Omnia Mokhtar,
Abeer Elkorany,
Hebatalla El Kassas,
Aly Fahmy

Affiliations

Rana Khaled: Cairo University, National Institute of Cancer, Radiology Department
Maha Helal: Cairo University, National Institute of Cancer, Radiology Department
Omar Alfarghaly: Cairo University, Computers and Artificial Intelligence, Computer Science Department
Omnia Mokhtar: Cairo University, National Institute of Cancer, Radiology Department
Abeer Elkorany: Cairo University, Computers and Artificial Intelligence, Computer Science Department
Hebatalla El Kassas: Cairo University, National Institute of Cancer, Radiology Department
Aly Fahmy: Cairo University, Computers and Artificial Intelligence, Computer Science Department

DOI: https://doi.org/10.1038/s41597-022-01238-0
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 10

Abstract

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Measurement(s) Dual-Energy Contrast-Enhanced Digital Spectral Mammography Technology Type(s) digital curation Sample Characteristic - Organism Homo sapiens • Breast Sample Characteristic - Location Egypt

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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