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Peer-Reviewed Publication
Commun Med (Lond)2024;4(1):21.February 19, 2024Journal Article

Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race.

Galvin Khara1, Hari Trivedi2, Mary S Newell2, Ravi Patel3, Tobias Rijken3, Peter Kecskemethy3, Ben Glocker4,5
1Kheiron Medical Technologies, London, UK. galvin@kheironmed.com.
2Winship Cancer Institute, Emory University, Atlanta, GA, USA.
3Kheiron Medical Technologies, London, UK.
4Kheiron Medical Technologies, London, UK. b.glocker@imperial.ac.uk.
5Department of Computing, Imperial College London, London, UK. b.glocker@imperial.ac.uk.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Breast density is an important risk factor for breast cancer complemented by a higher risk of cancers being missed during screening of dense breasts due to reduced sensitivity of mammography. Automated, deep learning-based prediction of breast density could provide subject-specific risk assessment and flag difficult cases during screening. However, there is a lack of evidence for gener…

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