Although segmentation using deep learning performs well, it often works poorly on small lesions or boundaries of lesion. This can occur the serious issues when applying in the medical images and the more reliable method is essential. In this study, we developed a deep learning process based on the uncertainty measurements that improves brain tumor segmentation. For selectively maximizing either precision or recall, two types of segmentation methods were presented.
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