SVMB-Net: Local Global Fusion and Multi-Branch Cross-Feature Attention for Skin Lesion Segmentation.

Zhao Y, Zhang J, He W, Wu S

DOI: 10.1109/jbhi.2025.3631024
Published: 2025 Nov 24
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.2025.3631024,
  title = {SVMB-Net: Local Global Fusion and Multi-Branch Cross-Feature Attention for Skin Lesion Segmentation.},
  author = {Zhao Y and Zhang J and He W and Wu S},
  year = {2025},
  journal = {IEEE journal of biomedical and health informatics},
  doi = {10.1109/jbhi.2025.3631024},
  url = {https://doi.org/10.1109/jbhi.2025.3631024}
}

RIS

TY  - JOUR
TI  - SVMB-Net: Local Global Fusion and Multi-Branch Cross-Feature Attention for Skin Lesion Segmentation.
AU  - Zhao Y
AU  - Zhang J
AU  - He W
AU  - Wu S
PY  - 2025
JO  - IEEE journal of biomedical and health informatics
DO  - 10.1109/jbhi.2025.3631024
UR  - https://doi.org/10.1109/jbhi.2025.3631024
ER  -

APA

Y, Z., J, Z., W, H., & S, W. (2025). SVMB-Net: Local Global Fusion and Multi-Branch Cross-Feature Attention for Skin Lesion Segmentation.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2025.3631024

Source records

pubmed · retrieved 2026-09-27T09:11:13.238Z