A Deep Learning Algorithm for Reducing False Positives in Screening Mammography

November 15, 2022

Mammography screening improves outcomes for breast cancer by enabling early detection and treatment. While many countries have developed breast cancer screening systems, these systems have important limitations. High rates of false positives result in unnecessary procedures, patient anxiety and added costs. In this work, we evaluate a breast cancer rule-out system that reduces false positives by identifying non-suspicious cases.

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