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In medical diagnosis, e.g. bowel cancer detection, a large number of examples of normal cases exists with a much smaller number of positive cases. Such data imbalance usually complicates the learning process, especially for the classes with fewer representative examples, and results in miss detection. In this article, we introduce a regularized ensemble framework of deep learning to address the imbalanced,...
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