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Validation of a deep learning mammography model in a population with low screening rates
We specifically explore how a deep learning algorithm trained on screening mammograms from the US and UK generalizes to mammograms collected at a hospital in China, where screening is not widely implemented.
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
Screening mammography is an important front-line tool for the early detection of breast cancer, and some 39 million exams are conducted each year in the United States alone.
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