Spatial classification of glaucomatous visual field loss.

Henson, David B.; Spenceley, S.E.; Bull, David

doi:10.1136/bjo.80.6.526

Cited by 35 publications

(23 citation statements)

References 4 publications

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“…Thus, there is a tautology in that, in the absence of rules, how is such a training set derived? Henson and associates suggest that unsupervised neural networks can be used to resolve this dilemma, as they are self-classifying [24]. However, the patterns correspond to the number of nodes used in the neural network and do not necessarily correspond to clinically identified field defects.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a computerized expert system for evaluation of automated visual fields from the Ischemic Optic Neuropathy Decompression Trial

et al. 2006

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Background: The objective of this report is to describe the methods used to develop and validate a computerized system to analyze Humphrey visual fields obtained from patients with non-arteritic anterior ischemic optic neuropathy (NAION) and enrolled in the Ischemic Optic Neuropathy Decompression Trial (IONDT). The IONDT was a multicenter study that included randomized and non-randomized patients with newly diagnosed NAION in the study eye. At baseline, randomized eyes had visual acuity of 20/64 or worse and non-randomized eyes had visual acuity of better than 20/64 or were associated with patients refusing randomization. Visual fields were measured before treatment using the Humphrey Field Analyzer with the 24-2 program, foveal threshold, and size III stimulus.

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Section: Discussionmentioning

confidence: 99%

Development and validation of a computerized expert system for evaluation of automated visual fields from the Ischemic Optic Neuropathy Decompression Trial

et al. 2006

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“…Figure 1 summarizes and illustrates these two approaches. In the simple hypothetical example (a), the prototype approach is illustrated by the popular cluster analysis algorithm k-means [8], an extension of which has recently been applied to VFs [9]. In our example, k-means partitions the cloud of points into four clusters.…”

Section: Two Approaches: Prototypes and Componentsmentioning

confidence: 99%

Patterns of functional vision loss in glaucoma determined with archetypal analysis

Elze

Pasquale

Shen

et al. 2015

J. R. Soc. Interface.

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Glaucoma is an optic neuropathy accompanied by vision loss which can be mapped by visual field (VF) testing revealing characteristic patterns related to the retinal nerve fibre layer anatomy. While detailed knowledge about these patterns is important to understand the anatomic and genetic aspects of glaucoma, current classification schemes are typically predominantly derived qualitatively. Here, we classify glaucomatous vision loss quantitatively by statistically learning prototypical patterns on the convex hull of the data space. In contrast to component-based approaches, this method emphasizes distinct aspects of the data and provides patterns that are easier to interpret for clinicians. Based on 13 231 reliable Humphrey VFs from a large clinical glaucoma practice, we identify an optimal solution with 17 glaucomatous vision loss prototypes which fit well with previously described qualitative patterns from a large clinical study. We illustrate relations of our patterns to retinal structure by a previously developed mathematical model. In contrast to the qualitative clinical approaches, our results can serve as a framework to quantify the various subtypes of glaucomatous visual field loss.

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“…11,14 The generated field patterns and the analyzed SAP fields did not include age and were in 52-dimensional space. I will discuss the shapes in three-dimensional space, because it is easier to grasp cognitively.…”

Section: Change Along An Axismentioning

confidence: 99%

Unsupervised learning with independent component analysis can identify patterns of glaucomatous visual field defects

Goldbaum¹

2006

American Journal of Ophthalmology

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Spatial classification of glaucomatous visual field loss.

Cited by 35 publications

References 4 publications

Development and validation of a computerized expert system for evaluation of automated visual fields from the Ischemic Optic Neuropathy Decompression Trial

Development and validation of a computerized expert system for evaluation of automated visual fields from the Ischemic Optic Neuropathy Decompression Trial

Patterns of functional vision loss in glaucoma determined with archetypal analysis

Unsupervised learning with independent component analysis can identify patterns of glaucomatous visual field defects

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