Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation-Reference-Cited by-同舟云学术

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation

Published:2021 Issue: Volume: Page:450-460
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
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Author:

Wang Kaiping,Zhan Bo,Zu Chen,Wu Xi,Zhou Jiliu,Zhou Luping,Wang Yan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87196-3_42

Reference20 articles.

1. Chen, J., Yang, L., Zhang, Y., et al.: Combining fully convolutional and recurrent neural networks for 3D biomedical image segmentation. In: NIPS (2016)

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3. Lecture Notes in Computer Science;H Kervadec,2019

4. Lecture Notes in Computer Science;G Bortsova,2019

5. Lecture Notes in Computer Science;Z Zheng,2020

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