S(2)Match: Revisiting Weak-to-Strong Consistency From a Semantic Similarity Perspective for Semi-Supervised Medical Image Segmentation.
- DOI
- 10.1109/jbhi.2025.3639673
- Published
- 2026 Jun
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2025.3639673,
title = {S(2)Match: Revisiting Weak-to-Strong Consistency From a Semantic Similarity Perspective for Semi-Supervised Medical Image Segmentation.},
author = {Xie S and Wang H and Niu Z and Sun H and Ouyang S and Chen YW and Lin L},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2025.3639673},
url = {https://doi.org/10.1109/jbhi.2025.3639673}
}RIS
TY - JOUR TI - S(2)Match: Revisiting Weak-to-Strong Consistency From a Semantic Similarity Perspective for Semi-Supervised Medical Image Segmentation. AU - Xie S AU - Wang H AU - Niu Z AU - Sun H AU - Ouyang S AU - Chen YW AU - Lin L PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2025.3639673 UR - https://doi.org/10.1109/jbhi.2025.3639673 ER -
APA
S, X., H, W., Z, N., H, S., S, O., YW, C., & L, L. (2026). S(2)Match: Revisiting Weak-to-Strong Consistency From a Semantic Similarity Perspective for Semi-Supervised Medical Image Segmentation.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2025.3639673
Source records
- pubmed · retrieved 2026-09-26T11:17:10.461Z