Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation

27 Jul 2019Haidong ZhuJialin ShiJi Wu

Deep learning methods have achieved promising performance in many areas, but they are still struggling with noisy-labeled images during the training process. Considering that the annotation quality indispensably relies on great expertise, the problem is even more crucial in the medical image domain... (read more)

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