LGMUNet: Global-local synergy of Mamba and CNN for dental X-ray segmentation.

Wang G, Xun J, Luo H, Luo J, Chen L, Qiao F

DOI: 10.1177/08953996261475053
Published: 2026 Sep 3
Container: Journal of X-ray science and technology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/08953996261475053,
  title = {LGMUNet: Global-local synergy of Mamba and CNN for dental X-ray segmentation.},
  author = {Wang G and Xun J and Luo H and Luo J and Chen L and Qiao F},
  year = {2026},
  journal = {Journal of X-ray science and technology},
  doi = {10.1177/08953996261475053},
  url = {https://doi.org/10.1177/08953996261475053}
}

RIS

TY  - JOUR
TI  - LGMUNet: Global-local synergy of Mamba and CNN for dental X-ray segmentation.
AU  - Wang G
AU  - Xun J
AU  - Luo H
AU  - Luo J
AU  - Chen L
AU  - Qiao F
PY  - 2026
JO  - Journal of X-ray science and technology
DO  - 10.1177/08953996261475053
UR  - https://doi.org/10.1177/08953996261475053
ER  -

APA

G, W., J, X., H, L., J, L., L, C., & F, Q. (2026). LGMUNet: Global-local synergy of Mamba and CNN for dental X-ray segmentation.. Journal of X-ray science and technology. https://doi.org/10.1177/08953996261475053

Source records

pubmed · retrieved 2026-09-26T18:51:23.296Z