CrossBoneNet: An Ultralightweight Hybrid CNN-ViT Architecture via Asymmetric Reversed Cross-Attention for Radiographic Fracture Detection

Kamil Akarsu, Orhan Er

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DOI: 10.1007/s10278-026-02492-z
Published: 2026-11-06
Container: Journal of Imaging Informatics in Medicine
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10278-026-02492-z,
  title = {CrossBoneNet: An Ultralightweight Hybrid CNN-ViT Architecture via Asymmetric Reversed Cross-Attention for Radiographic Fracture Detection},
  author = {Kamil Akarsu and Orhan Er},
  year = {2026},
  journal = {Journal of Imaging Informatics in Medicine},
  doi = {10.1007/s10278-026-02492-z},
  url = {https://doi.org/10.1007/s10278-026-02492-z}
}

RIS

TY  - JOUR
TI  - CrossBoneNet: An Ultralightweight Hybrid CNN-ViT Architecture via Asymmetric Reversed Cross-Attention for Radiographic Fracture Detection
AU  - Kamil Akarsu
AU  - Orhan Er
PY  - 2026
JO  - Journal of Imaging Informatics in Medicine
DO  - 10.1007/s10278-026-02492-z
UR  - https://doi.org/10.1007/s10278-026-02492-z
ER  -

APA

Akarsu, K., & Er, O. (2026). CrossBoneNet: An Ultralightweight Hybrid CNN-ViT Architecture via Asymmetric Reversed Cross-Attention for Radiographic Fracture Detection. Journal of Imaging Informatics in Medicine. https://doi.org/10.1007/s10278-026-02492-z

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crossref · retrieved 2026-11-09T04:51:48.964Z