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Breast density, defined as the proportion of breast tissue composed of dense fibroglandular tissue, is a crucial factor in assessing breast cancer risk and significantly impacts the visibility of lesions during mammography screening. We focus on distinguishing between high and low breast density by fine-tuning deep neural networks and on our joint deep and sparse approximation methodology. We eval
