Quantification of Retinal Nerve Fibre Layer Thickness on Optical Coherence Tomography with a Deep Learning Segmentation-Free Approach

Lignende værker

• Detecting Retinal Nerve Fibre Layer Segmentation Errors on Spectral Domain-Optical Coherence Tomography with a Deep Learning Algorithm
  af: Jammal, Alessandro A., et al.
  Udgivet: (2019)
• Real-World Impact of Intraocular Pressure Control on Rates of Retinal Nerve Fiber Layer Loss in a Large Clinical Population
  af: Jammal, Alessandro A., et al.
  Udgivet: (2020)
• Comparison of Short- And Long-Term Variability On Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma
  af: Urata, Carla N., et al.
  Udgivet: (2019)
• Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans
  af: Thompson, Atalie C., et al.
  Udgivet: (2020)
• Comparing the “Rule of 5” to Trend-based Analysis for Detecting Glaucoma Progression on Optical Coherence Tomography
  af: Thompson, Atalie C., et al.
  Udgivet: (2020)