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Abstract #81146 Published in IGR 20-3
Machine Learning in the Detection of the Glaucomatous Disc and Visual Field
Smits DJ; Elze T; Wang H; Pasquale LRSeminars in Ophthalmology 2019; 34: 232-242
Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is of utmost importance as there is abundant evidence that early treatment prevents disease progression, preserves vision, and improves patients' long-term quality of life. The structure and function thresholds that alert to the diagnosis of glaucoma can be obtained entirely via digital means, and as such, screening is well suited to benefit from artificial intelligence and specifically machine learning. This paper reviews the concepts and current literature on the use of machine learning for detection of the glaucomatous disc and visual field.
a Department of Ophthalmology , Massachusetts Eye and Ear Infirmary, Harvard Medical School , Boston , USA.
Full articleClassification:
6.9.5 Other (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis)
6.6.2 Automated (Part of: 6 Clinical examination methods > 6.6 Visual field examination and other visual function tests)
2.14 Optic disc (Part of: 2 Anatomical structures in glaucoma)
