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Abstract #2650

Deep-learning Methods for Meniscus Segmentation in Knee MRI

Siyue Li1, Shutian Zhao1, Sheheryark Khan1, and Weitian Chen1
1CUHK lab of AI in radiology (CLAIR), Department of imaging and interventional radiology , The Chinese university of Hong Kong, HongKong, Hong Kong

Meniscus segmentation in MR images has important clinical applications. Due to its large shape variation and low contrast with surrounding pixels, it is challenging to perform robust and reliable meniscus segmentation automatically. We investigated deep-learning network V-Net approaches for meniscus segmentation using MR images.

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