PURPOSE. We examined agreement among experts in the assessment of corneal subbasal nerve tortuosity. METHODS. Images of corneal subbasal nerves were obtained from investigators at seven sites (Auckland, Boston, Linkoping, Manchester, Oslo, Rostock, and Sydney) using laser-scanning in vivo confocal microscopy. A set of 30 images was assembled and ordered by increasing tortuosity by 10 expert graders from the seven sites. In a first experiment, graders assessed tortuosity without a specific definition and performed grading three times, with at least 1 week between sessions. In a second experiment, graders assessed the same image set using four focused tortuosity definitions. Intersession and intergrader repeatability for the experiments were ...
We present a novel method for classifying corneal nerves images in 4 levels of tortuosity. We use mu...
PURPOSE: To evaluate in vivo confocal microscopy (IVCM) features of corneal subbasal nerve plexus (S...
Purpose. We established a baseline value for central corneal subbasal nerve density in a large, heal...
PURPOSE. We examined agreement among experts in the assessment of corneal subbasal nerve tortuosity....
Purpose. An algorithm and a computer program for the automatic grading of corneal nerve tortuosity a...
PURPOSE. To assess the performance of a novel system for automated tortuosity estimation and interpr...
Purpose: The purpose of this study was the development of an algorithm able to automatically trace c...
Classify in vivo confocal microscopy corneal images by tortuosity is complicated by the presence of ...
Abstract. Classify in vivo confocal microscopy corneal images by tortu-osity is complicated by the p...
Chareenun Chirapapaisan,1 Sittiphong Thongsuwan,1 Niphon Chirapapaisan,1 Pratuangsri Chonpimai,1 Anu...
Purpose: To determine the subbasal nerve density and tortuosity at 5 corneal locations and to invest...
Accurate estimation and quantification of the corneal nerve fiber tortuosity in corneal confocal mic...
Recent clinical research has highlighted important links between a number of diseases and the tortuo...
Precise characterization and analysis of corneal nerve fiber tortuosity are of great importance in f...
We present a novel method for classifying corneal nerves images in 4 levels of tortuosity. We use mu...
PURPOSE: To evaluate in vivo confocal microscopy (IVCM) features of corneal subbasal nerve plexus (S...
Purpose. We established a baseline value for central corneal subbasal nerve density in a large, heal...
PURPOSE. We examined agreement among experts in the assessment of corneal subbasal nerve tortuosity....
Purpose. An algorithm and a computer program for the automatic grading of corneal nerve tortuosity a...
PURPOSE. To assess the performance of a novel system for automated tortuosity estimation and interpr...
Purpose: The purpose of this study was the development of an algorithm able to automatically trace c...
Classify in vivo confocal microscopy corneal images by tortuosity is complicated by the presence of ...
Abstract. Classify in vivo confocal microscopy corneal images by tortu-osity is complicated by the p...
Chareenun Chirapapaisan,1 Sittiphong Thongsuwan,1 Niphon Chirapapaisan,1 Pratuangsri Chonpimai,1 Anu...
Purpose: To determine the subbasal nerve density and tortuosity at 5 corneal locations and to invest...
Accurate estimation and quantification of the corneal nerve fiber tortuosity in corneal confocal mic...
Recent clinical research has highlighted important links between a number of diseases and the tortuo...
Precise characterization and analysis of corneal nerve fiber tortuosity are of great importance in f...
We present a novel method for classifying corneal nerves images in 4 levels of tortuosity. We use mu...
PURPOSE: To evaluate in vivo confocal microscopy (IVCM) features of corneal subbasal nerve plexus (S...
Purpose. We established a baseline value for central corneal subbasal nerve density in a large, heal...