Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning.
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| Title: | Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning. |
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| Authors: | Salari F; Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran., Meskar Z; Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran., Fallah F; Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran., Fazeli M; Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran., Samiee R; Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran., Arabalibeik H; Research Center for Biomedical Technologies and Robotics (RCBTR), Tehran University of Medical Sciences, Tehran, Iran., Rafizadeh SM; Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran. mohsen_raf1354@yahoo.com. |
| Source: | Scientific reports [Sci Rep] 2026 May 22; Vol. 16 (1). Date of Electronic Publication: 2026 May 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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