Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning.

Salari F, Meskar Z, Fallah F, Fazeli M, Samiee R, Arabalibeik H, Rafizadeh SM

Open source

DOI: 10.1038/s41598-026-54114-x
Published: 2026 May 22
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-54114-x,
  title = {Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning.},
  author = {Salari F and Meskar Z and Fallah F and Fazeli M and Samiee R and Arabalibeik H and Rafizadeh SM},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-54114-x},
  url = {https://doi.org/10.1038/s41598-026-54114-x}
}

RIS

TY  - JOUR
TI  - Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning.
AU  - Salari F
AU  - Meskar Z
AU  - Fallah F
AU  - Fazeli M
AU  - Samiee R
AU  - Arabalibeik H
AU  - Rafizadeh SM
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-54114-x
UR  - https://doi.org/10.1038/s41598-026-54114-x
ER  -

APA

F, S., Z, M., F, F., M, F., R, S., H, A., & SM, R. (2026). Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning.. Scientific reports. https://doi.org/10.1038/s41598-026-54114-x

Source records

pubmed · retrieved 2026-09-26T23:01:39.305Z
europe-pmc · retrieved 2026-09-26T23:01:39.319Z
doaj · retrieved 2026-09-26T23:01:39.321Z