Accurate segmentation of the meniscus is valuable for clinical diagnosis and treatment of knee joint diseases. Due to expensive and time-consuming medical image data annotation, it is challenging to obtain sufficient labeled data for deep learning-based segmentation of meniscus. We investigated deep-learning based semi-supervised approaches with uncertainty estimation for meniscus segmentation using MR images.
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