SynMatch: Rethinking consistency in medical image segmentation with sparse annotations

Zhiqiang Shen, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane

Open source

DOI: 10.1016/j.neunet.2026.109796
Published: 2027-02
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109796,
  title = {SynMatch: Rethinking consistency in medical image segmentation with sparse annotations},
  author = {Zhiqiang Shen and Peng Cao and Xiaoli Liu and Jinzhu Yang and Osmar R. Zaiane},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109796},
  url = {https://doi.org/10.1016/j.neunet.2026.109796}
}

RIS

TY  - JOUR
TI  - SynMatch: Rethinking consistency in medical image segmentation with sparse annotations
AU  - Zhiqiang Shen
AU  - Peng Cao
AU  - Xiaoli Liu
AU  - Jinzhu Yang
AU  - Osmar R. Zaiane
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109796
UR  - https://doi.org/10.1016/j.neunet.2026.109796
ER  -

APA

Shen, Z., Cao, P., Liu, X., Yang, J., & Zaiane, O. R. (2027). SynMatch: Rethinking consistency in medical image segmentation with sparse annotations. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109796

Source records

crossref · retrieved 2026-11-07T08:37:33.185Z