Chang Dolly

A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans.

A 3D deep learning algorithm trained on macular OCT volumes without retinal disease to detect referable glaucoma performs better with retinal segmentation preprocessing and performs reasonably well across all levels of myopia.

Deep Learning for Glaucoma Detection and Identification of Novel Diagnostic Areas in Diverse Real-World Datasets.

A 3D convolutional neural network (CNN) trained on SD-OCT ONH cubes can distinguish glaucoma from normal cases in diverse datasets obtained from four different countries.

Comparison of structure-function correlation among IMO visual function analyser and Humphrey field analyser.

The IMOvifa test took less time and resulted in slightly less severe defects than HFA. MS in all sectors was moderately to strongly correlated. Function-structure correlations were similar when using either perimeter.