Mutual consistency learning for semi-supervised medical image segmentation (2021-09-21T00:00:00.000000Z)

TL;DR

A novel mutual consistency network (MC-Net+) is proposed to effectively exploit the unlabeled data for semi-supervised medical image segmentation to force the model to generate invariant results in such challenging regions, aiming at regularizing the model training.

Authors

Yicheng Wu

2 papers

Jianfei Cai

2 papers

Donghao Zhang

2 papers

Z. Ge

1 papers

Minfeng Xu

1 papers

Lei Zhang

1 papers

Yong Xia

1 papers

TL;DR

Authors

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