Diagnosing Glaucoma With Spectral-Domain Optical Coherence Tomography Using Deep Learning Classifier.

Journal: Journal of glaucoma

Published Date: Apr 1, 2020

Abstract

UNLABELLED: PRéCIS:: A spectral-domain optical coherence tomography (SD-OCT) based deep learning system detected glaucomatous structural change with high sensitivity and specificity. It outperformed the clinical diagnostic parameters in discriminating glaucomatous eyes from healthy eyes.

Authors

Jinho Lee

Department of Ophthalmology.
Young Kook Kim

Department of Ophthalmology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Ki Ho Park

Department of Ophthalmology.
Jin Wook Jeoung

Department of Ophthalmology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.

Keywords

Adult Aged Area Under Curve Deep Learning Female Glaucoma Humans Intraocular Pressure Male Middle Aged Nerve Fibers Optic Disk Retinal Ganglion Cells ROC Curve Sensitivity and Specificity Tomography, Optical Coherence Visual Fields

External Resources

View on PubMed Access via DOI PubMed (32053552)

Diagnosing Glaucoma With Spectral-Domain Optical Coherence Tomography Using Deep Learning Classifier.

Abstract

Authors

Keywords

External Resources

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