Abstract
Background: Automated identification of quantitative breast parenchymal enhancement features on dynamic contrast-enhanced (DCE) MRI scans could provide added value in assessment of breast cancer risk in women with extremely dense breasts. Purpose: To automatically identify quantitative properties of the breast parenchyma on baseline DCE MRI scans and assess their association
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