Abstract
AbstractFor monitoring disease progression in glaucoma, perimetric measurements as global indices such as the mean deviation and standard pattern deviation for the visual field perimetry do not maintain a consistent diagnostic sensitivity over the entire data range. Here an analytical approach that assumes an underlying Gaussian mixture model describing the normal visual field offers an alternative solution to this situation.
Publisher
Cold Spring Harbor Laboratory