Confocal Scanning Laser Ophthalmoscopy Classifiers and Stereophotograph Evaluation for Prediction of Visual Field Abnormalities in Glaucoma-Suspect Eyes

Documenti analoghi

• Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers
  di: Zangwill, Linda M., et al.
  Pubblicazione: (2004)
• Comparison of HRT-3 Glaucoma Probability Score and Subjective Stereophotograph Assessment for Prediction of Progression in Glaucoma
  di: Alencar, Luciana M., et al.
  Pubblicazione: (2008)
• Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements
  di: Bowd, Christopher, et al.
  Pubblicazione: (2005)
• Assessing Visual Field Clustering Schemes Using Machine Learning Classifiers in Standard Perimetry
  di: Boden, Catherine, et al.
  Pubblicazione: (2007)
• Predicting Glaucomatous Progression in Glaucoma Suspect Eyes Using Relevance Vector Machine Classifiers for Combined Structural and Functional Measurements
  di: Bowd, Christopher, et al.
  Pubblicazione: (2012)