DCLA-Net: dual-encoder cross-level alignment network for ultrasound-based ectopic pregnancy mass segmentation.

Cheng Y, Ding X, Zhu W

DOI: 10.3389/fphys.2026.1874479
Published: 2026
Container: Frontiers in physiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fphys.2026.1874479,
  title = {DCLA-Net: dual-encoder cross-level alignment network for ultrasound-based ectopic pregnancy mass segmentation.},
  author = {Cheng Y and Ding X and Zhu W},
  year = {2026},
  journal = {Frontiers in physiology},
  doi = {10.3389/fphys.2026.1874479},
  url = {https://doi.org/10.3389/fphys.2026.1874479}
}

RIS

TY  - JOUR
TI  - DCLA-Net: dual-encoder cross-level alignment network for ultrasound-based ectopic pregnancy mass segmentation.
AU  - Cheng Y
AU  - Ding X
AU  - Zhu W
PY  - 2026
JO  - Frontiers in physiology
DO  - 10.3389/fphys.2026.1874479
UR  - https://doi.org/10.3389/fphys.2026.1874479
ER  -

APA

Y, C., X, D., & W, Z. (2026). DCLA-Net: dual-encoder cross-level alignment network for ultrasound-based ectopic pregnancy mass segmentation.. Frontiers in physiology. https://doi.org/10.3389/fphys.2026.1874479

Source records

pubmed · retrieved 2026-09-25T04:30:07.205Z