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Although a lot of prior work considered this problem as a task for\nlearning algorithms, to our knowledge, all of them used small and not\nclinically realistic data both for training and evaluation of their models. In\nthis work, we explore the limits of this task with a data set coming from over\n200,000 breast cancer screening exams. We use this data to train and evaluate a\nstrong convolutional neural network classifier. 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