A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba.

Naeem MA, Yang S, Saleem MA, Javeed A, Ahmad T

Open source

DOI
10.1038/s41598-026-38056-y
Published
2026 Feb 6
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-38056-y,
  title = {A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba.},
  author = {Naeem MA and Yang S and Saleem MA and Javeed A and Ahmad T},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-38056-y},
  url = {https://doi.org/10.1038/s41598-026-38056-y}
}

RIS

TY  - JOUR
TI  - A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba.
AU  - Naeem MA
AU  - Yang S
AU  - Saleem MA
AU  - Javeed A
AU  - Ahmad T
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-38056-y
UR  - https://doi.org/10.1038/s41598-026-38056-y
ER  -

APA

MA, N., S, Y., MA, S., A, J., & T, A. (2026). A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba.. Scientific reports. https://doi.org/10.1038/s41598-026-38056-y

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