3D-CNN for Glaucoma Detection Using Optical Coherence Tomography

2019 ◽  
pp. 52-59
Author(s):  
Yasmeen George ◽  
Bhavna Antony ◽  
Hiroshi Ishikawa ◽  
Gadi Wollstein ◽  
Joel Schuman ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Glaucoma Detection ◽  
3D Cnn

scholarly journals Optical Coherence Tomography Machine Learning Classifiers for Glaucoma Detection: A Preliminary Study

2005 ◽  
Vol 46 (11) ◽  
pp. 4147 ◽  
Author(s):  
Zvia Burgansky-Eliash ◽  
Gadi Wollstein ◽  
Tianjiao Chu ◽  
Joseph D. Ramsey ◽  
Clark Glymour ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Machine Learning Classifiers ◽  
Learning Classifiers ◽  
Glaucoma Detection ◽  
Preliminary Study

scholarly journals A Wide-Field Optical Coherence Tomography Normative Database Considering the Fovea-Disc Relationship for Glaucoma Detection

2021 ◽  
Vol 10 (2) ◽  
pp. 7
Author(s):  
Hyungjun Kim ◽  
Jong Sub Lee ◽  
Hae Min Park ◽  
Hyunsoo Cho ◽  
Han Woong Lim ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Wide Field ◽  
Optical Coherence ◽  
Normative Database ◽  
Glaucoma Detection

Automated glaucoma detection using retinal layers segmentation and optic cup-to-disc ratio in optical coherence tomography images

2019 ◽  
Vol 13 (3) ◽  
pp. 409-420 ◽  
Author(s):  
Aneeqa Ramzan ◽  
Muhammad Usman Akram ◽  
Arslan Shaukat ◽  
Sajid Gul Khawaja ◽  
Ubaid Ullah Yasin ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Retinal Layers ◽  
Glaucoma Detection ◽  
Optic Cup ◽  
Cup To Disc Ratio

scholarly journals Three-Dimensional Spectral-Domain Optical Coherence Tomography Data Analysis for Glaucoma Detection

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e55476 ◽  
Author(s):  
Juan Xu ◽  
Hiroshi Ishikawa ◽  
Gadi Wollstein ◽  
Richard A. Bilonick ◽  
Lindsey S. Folio ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Data Analysis ◽  
Three Dimensional ◽  
Spectral Domain ◽  
Optical Coherence ◽  
Glaucoma Detection ◽  
Tomography Data

scholarly journals Diagnostic Ability of Fourier-Domain vs Time-Domain Optical Coherence Tomography for Glaucoma Detection

2009 ◽  
Vol 148 (4) ◽  
pp. 597-605 ◽  
Author(s):  
Mitra Sehi ◽  
Dilraj S. Grewal ◽  
Clinton W. Sheets ◽  
David S. Greenfield
Keyword(s):  
Optical Coherence Tomography ◽  
Time Domain ◽  
Fourier Domain ◽  
Optical Coherence ◽  
Diagnostic Ability ◽  
Glaucoma Detection

scholarly journals Evaluation of retinal nerve fibre layer, optic nerve head, and macular ganglion cell analysis measurements for early glaucoma detection using spectral domain optical coherence tomography

2020 ◽  
Vol 9 (1) ◽  
pp. 186
Author(s):  
Rahul Bhardwaj ◽  
Sandeep Sharma ◽  
Rachana Gaur ◽  
Sindhuja Singh ◽  
Prakhar Chaudhary ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Open Angle Glaucoma ◽  
Retinal Nerve Fibre Layer ◽  
Spectral Domain ◽  
Optical Coherence ◽  
Early Glaucoma ◽  
Glaucoma Detection ◽  
Nerve Fibre Layer ◽  
Normal Controls ◽  
Sd Oct

Background: Glaucoma is the leading cause of irreversible blindness worldwide. It is very important to diagnose glaucoma in early stages so that timely management can be done. Spectral domain optical coherence tomography (SD-OCT), is a newer device which helps to diagnose glaucoma early. The aim of our study was to evaluate the RNFL, ONH, and mGCA (GCL+IPL) measurements for early glaucoma detection using spectral domain optical coherence tomography (SD-OCT).Methods: Total 30, POAG (primary open angle glaucoma) suspects were compared with 30 normal controls. The Cirrus HD-OCT optic disc cube 200 × 200 protocol was used to measure ONH, RNFL and macular parameters.Results: The average cpRNFL thickness of all quadrants was significantly lower in POAG suspects, (84.13±7.42 μm versus 103.85±8.95 μm, p<0.001). The superior GCL+IPL thickness of POAG suspects and controls was 75.75±2.60 μm and 80.05±1.74 μm, respectively, (p<0.001). The inferior GCL+IPL thickness of POAG suspects and controls was 75.98±2.59 μm and 80.00±1.79 μm, respectively, (p<0.001).Conclusions: The SD-OCT is an important device to diagnose POAG suspects, early. The GCA measurements and average RNFL (especially superior and inferior) measurements, both are equally good to discriminate between glaucoma suspects and normal controls.

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