From local textures to global attention: a hybrid feature fusion network for skin lesion classification
- DOI
- 10.1038/s41598-026-48260-5
- Published
- 2026-04-24
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-48260-5,
title = {From local textures to global attention: a hybrid feature fusion network for skin lesion classification},
author = {Yazeed Alkhrijah and Syed Nehal Hassan Shah and Syed Muhammad Usman and Shehzad Khalid and Syed Abdullah Shah and Sulieman S. Alshuhri and Jungpil Shin},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-48260-5},
url = {https://doi.org/10.1038/s41598-026-48260-5}
}RIS
TY - JOUR TI - From local textures to global attention: a hybrid feature fusion network for skin lesion classification AU - Yazeed Alkhrijah AU - Syed Nehal Hassan Shah AU - Syed Muhammad Usman AU - Shehzad Khalid AU - Syed Abdullah Shah AU - Sulieman S. Alshuhri AU - Jungpil Shin PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-48260-5 UR - https://doi.org/10.1038/s41598-026-48260-5 ER -
APA
Alkhrijah, Y., Shah, S. N. H., Usman, S. M., Khalid, S., Shah, S. A., Alshuhri, S. S., & Shin, J. (2026). From local textures to global attention: a hybrid feature fusion network for skin lesion classification. Scientific Reports. https://doi.org/10.1038/s41598-026-48260-5
Source records
- crossref · retrieved 2026-09-26T15:43:11.581Z