Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression - Concepedia

Concepedia

Publication | Open Access

Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

DOI Full Paper Access

120

Citations

37

References

2018

Year

Mark Christopher, Akram Belghith, Robert N. Weinreb, Christopher Bowd, Michael H. Goldbaum, Luke J. Saunders, Felipe A. Medeiros, Linda M. Zangwill

Investigative Ophthalmology & Visual Science

Abstract

A computational approach can identify structural features that improve glaucoma detection and progression prediction.

References

	Year	Citations

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