Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements

Eitemau Tebyg

• Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiers
  gan: Racette, Lyne, et al.
  Cyhoeddwyd: (2010)
• Assessment of the retinal nerve fiber layer of the normal and glaucomatous monkey with scanning laser polarimetry.
  gan: Weinreb, Robert N, et al.
  Cyhoeddwyd: (2002)
• Predicting Glaucomatous Progression in Glaucoma Suspect Eyes Using Relevance Vector Machine Classifiers for Combined Structural and Functional Measurements
  gan: Bowd, Christopher, et al.
  Cyhoeddwyd: (2012)
• Confocal Scanning Laser Ophthalmoscopy Classifiers and Stereophotograph Evaluation for Prediction of Visual Field Abnormalities in Glaucoma-Suspect Eyes
  gan: Bowd, Christopher, et al.
  Cyhoeddwyd: (2004)
• Detection of Progressive Retinal Nerve Fiber Layer Loss in Glaucoma Using Scanning Laser Polarimetry with Variable Corneal Compensation
  gan: Medeiros, Felipe A., et al.
  Cyhoeddwyd: (2008)