Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race
Galvin Khara,
Hari Trivedi,
Mary S. Newell
et al.
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 generalisability across imaging techniques and, importantly, across race.
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