Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation
The consistency regularization method is a widely used semi-supervised method that uses regularization terms constructed from unlabeled data to improve model performance. Poor-quality target predictions in regularization terms produce noisy gradient flows during training, resulting in a degradation...
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Main Authors: | Yutao Tang, Yongze Guo, Huayu Wang, Ting Song, Yao Lu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Bioengineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5354/12/1/36 |
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