An Automatic Algorithm for Segmentation of the Boundaries of Corneal Layers in Optical Coherence Tomography Images using Gaussian Mixture Model

Lignende værker

• Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation
  af: Hossein Rabbani, et al.
  Udgivet: (2016-01-01)
• Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation
  af: Rabbani, Hossein, et al.
  Udgivet: (2016)
• Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Using a Multiresolution Texture Based Modeling in Graph Cuts
  af: Danesh, Hajar, et al.
  Udgivet: (2014)
• Convolutional Mixture of Experts Model: A Comparative Study on Automatic Macular Diagnosis in Retinal Optical Coherence Tomography Imaging
  af: Rasti, Reza, et al.
  Udgivet: (2019)
• Three-dimensional curvelet-based dictionary learning for speckle noise removal of optical coherence tomography
  af: Esmaeili, Mahad, et al.
  Udgivet: (2020)