Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race ; volume:4 ; number:1 ; day:19 ; month:2 ; year:2024 ; pages:1-8 ; date:12.2024
Communications medicine ; 4, Heft 1 (19.2.2024), 1-8, 12.2024
- Creator
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Khara, Galvin
Trivedi, Hari
Newell, Mary S.
Patel, Ravi
Rijken, Tobias
Kecskemethy, Peter
Glocker, Ben
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s43856-024-00446-6
- URN
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urn:nbn:de:101:1-2404260712036.140656766891
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 AM CEST
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Associated
- Khara, Galvin
- Trivedi, Hari
- Newell, Mary S.
- Patel, Ravi
- Rijken, Tobias
- Kecskemethy, Peter
- Glocker, Ben
- SpringerLink (Online service)
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Relationships between mammographic density, tissue microvessel density, and breast biopsy diagnosis
Race/ethnicity and validity of self-reported pneumococcal vaccination
Genetic determinants of mammographic density
Hormonal determinants of mammographic density and density change
Mammographic density and epithelial histopathologic markers
Reproductive factors and mammographic density within the International Consortium of Mammographic Density: A cross-sectional study
Breast cancer susceptibility loci and mammographic density
Circulating serum xenoestrogens and mammographic breast density
Biomarkers of mammographic density in premenopausal women
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