Semi-Supervised Medical Image Segmentation Via Query Distribution Consistency-Reference-Cited by-同舟云学术

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Semi-Supervised Medical Image Segmentation Via Query Distribution Consistency

Published:2024-05-27 Issue: Volume:33 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Wu Rong¹,Li Dehua²,Zhang Cong³

Affiliation:

1. New York University,School of Global Public Health,New York,NY,USA

2. Guangzhou Medical University,State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Diseases, First Affiliated Hospital,Guangzhou,China

3. DecisionLinnc Dev Group,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635325.pdf?arnumber=10635325

Reference21 articles.

1. A simple framework for contrastive learning of visual representations;Chen

2. Joint contrastive learning with infinite possibilities;Cai;Advances in Neural Information Processing Systems,2020

3. Representation learning with contrastive predictive coding;van den Oord,2018

4. Mutual consistency learning for semi-supervised medical image segmentation

5. Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

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