Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma

Author:

Shi Min1,Sun Jessica A.2,Lokhande Anagha1,Tian Yu1,Luo Yan1,Elze Tobias1,Shen Lucy Q.2,Wang Mengyu1

Affiliation:

1. Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA

2. Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference40 articles.

1. Glaucoma is second leading cause of blindness globally;Kingman;Bull World Health Organ,2004

2. Primary open-angle glaucoma;Weinreb;Lancet,2004

3. The association between glaucomatous visual fields and optic nerve head features in the Ocular Hypertension Treatment Study;Keltner;Ophthalmology,2006

4. Diagnosing preperimetric glaucoma with spectral domain optical coherence tomography;Lisboa;Ophthalmology,2012

5. Optical coherence tomography: a new tool for glaucoma diagnosis;Schuman;Curr Opin Ophthalmol,1995

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