View in EDS

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

Saved in:
Bibliographic Details
Title: Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning.
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
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-54114-x