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Abstract #0803

Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation

Siyue LI1, Shutian ZHAO1, Yongcheng YAO1, and Weitian CHEN1
1AI in Radiology Laboratory, Department of Imaging and Interventioanl Radiology, The Chinese University of Hong Kong, Hongkong, Hong Kong

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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