Inicio
Explorar
nav.journalClub
Tendencias
Más
synapse
⌘+K
Idioma
Español
Español
Correction: Deep learning based optic nerve sheath diameter characterization and structure quantification on transorbital ultrasound images | Synapse
March 3, 2026
Open Access
Correction: Deep learning based optic nerve sheath diameter characterization and structure quantification on transorbital ultrasound images
MY
Miao Yang
Guizhou Provincial People's Hospital
CL
Cong Liu
Shandong University of Technology
PZ
Pingyang Zou
Guizhou Provincial People's Hospital
Ver todo
Puntos clave
Characterization of optic nerve sheath diameter using deep learning shows potential for enhanced imaging analysis.
The corrected focus is on the application of advanced algorithms on transorbital ultrasound images for accurate measurements.
Utilizing deep learning techniques enhances structure quantification, allowing for more precise assessments in medical imaging.
Implications suggest that improved characterization methods could lead to better diagnostics in neurological assessments.
Resumen
This corrects the article DOI: 10.3389/fmed.2025.1705459..
Leer artículo completo
con IA
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Ver artículo completo
Cite This Study
Copy
Yang et al. (Fri,) studied this question.
synapsesocial.com/papers/69a768b5badf0bb9e87e5ae4
https://doi.org/https://doi.org/10.3389/fmed.2026.1790647
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Ver artículo completo