A Machine-Learning Graph-Based Approach for 3D Segmentation of Bruch’s Membrane Opening from Glaucomatous SD-OCT Volumes

Lignende værker

• Incorporation of Gradient Vector Flow Field in a Multimodal Graph-Theoretic Approach for Segmenting the Internal Limiting Membrane from Glaucomatous Optic Nerve Head-Centered SD-OCT Volumes
  af: Miri, Mohammad Saleh, et al.
  Udgivet: (2016)
• A combined machine-learning and graph-based framework for the segmentation of retinal surfaces in SD-OCT volumes
  af: Antony, Bhavna J., et al.
  Udgivet: (2013)
• Multimodal Segmentation of Optic Disc and Cup from SD-OCT and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach
  af: Miri, Mohammad Saleh, et al.
  Udgivet: (2015)
• Automated 3D Segmentation of Multiple Surfaces with a Shared Hole: Segmentation of the Neural Canal Opening in SD-OCT Volumes
  af: Antony, Bhavna J., et al.
  Udgivet: (2014)
• Adjustment of the Retinal Angle in SD-OCT of Glaucomatous Eyes Provides Better Intervisit Reproducibility of Peripapillary RNFL Thickness
  af: Lee, Kyungmoo, et al.
  Udgivet: (2013)