Oct 1, 2023 · We proposed a novel decoupled consistency semi-supervised medical image segmentation framework. First, the dynamic threshold is utilized to decouple the ...
Official code for "Decoupled Consistency for Semi-supervised Medical Image Segmentation". (MICCAI 2023)
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MDT: semi-supervised medical image segmentation with mixup ... - PubMed
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Mar 13, 2024 · This paper proposes a semi-supervised medical image segmentation method 'mixup-decoupling training (MDT)' that combines the idea of consistency and pseudo- ...
In this study, we propose a dual-decoder data decoupling training-based semi-supervised medical image segmentation network (DD-Net) that enables the model to ...
Decoupled Consistency for Semi-supervised Medical Image Segmentation. https://doi.org/10.1007/978-3-031-43907-0_53 ·. Journal: Lecture Notes in Computer ...
Jul 7, 2024 · We propose a cross prompting consistency method with segment anything model (CPC-SAM) for semi-supervised medical image segmentation.
Oct 19, 2024 · Semi-supervised learning (SSL) has shown considerable potential in medical image segmentation, primarily leveraging consistency regularization ...
Feb 6, 2024 · In this work, we have proposed to construct diverse joint-tasks using masked image modelling for enhancing the reliability of the consistency constraint.
Sep 25, 2024 · Semi-supervised medical image segmentation (SSMIS) has been demonstrated the potential to mitigate the issue of limited medi- cal labeled data.
Mutual consistency learning for semi- supervised medical image segmentation. Medical Image. Analysis, 81: 102530. Xie, E.; Wang, W.; Yu, Z.; Anandkumar, A ...