Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound

Lecture Notes in Computer Science, pp. 434-442, 2018.

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Abstract:

Convolutional neural networks (CNNs), especially fully convolutional networks, have been widely applied to automatic medical image segmentation problems, e.g., multi-organ segmentation. Existing CNN-based segmentation methods mainly focus on looking for increasingly powerful network architectures, but pay less attention to data sampling s...More

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