Optical Coherence Theory—Recent Developments

1968 ◽  
Vol 36 (8) ◽  
pp. 764-764
Author(s):  
G. J. Troup ◽  
John M. Stone
Keyword(s):  
Coherence Theory ◽  
Optical Coherence ◽  
Recent Developments

Optical coherence tomography: principles and recent developments

2020 ◽  
Vol 13 (5) ◽  
pp. 919-935
Author(s):  
LU Dong-xiao ◽  
◽  
FANG Wen-hui ◽  
LI Yu-yao ◽  
LI Jin-hua ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Recent Developments

Recent developments in optical coherence tomography for imaging the retina

2007 ◽  
Vol 26 (1) ◽  
pp. 57-77 ◽  
Author(s):  
Mirjam E.J. van Velthoven ◽  
Dirk J. Faber ◽  
Frank D. Verbraak ◽  
Ton G. van Leeuwen ◽  
Marc D. de Smet
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Recent Developments

Elements of Optical Coherence Theory

1984 ◽  
Vol 35 (2) ◽  
pp. 73-73 ◽  
Author(s):  
J Young
Keyword(s):  
Coherence Theory ◽  
Optical Coherence

scholarly journals Machine learning in optical coherence tomography angiography

2021 ◽  
pp. 153537022110265
Author(s):  
David Le ◽  
Taeyoon Son ◽  
Xincheng Yao
Keyword(s):  
Machine Learning ◽  
Optical Coherence Tomography ◽  
Image Analysis ◽  
Human Error ◽  
Optical Coherence Tomography Angiography ◽  
Disease Classification ◽  
Optical Coherence ◽  
Label Free ◽  
Machine Learning Classification ◽  
Recent Developments

Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution for imaging retinal vasculatures at the capillary level resolution. In principle, improved resolution implies a better chance to reveal subtle microvascular distortions associated with eye diseases that are asymptomatic in early stages. However, massive screening requires experienced clinicians to manually examine retinal images, which may result in human error and hinder objective screening. Recently, quantitative OCTA features have been developed to standardize and document retinal vascular changes. The feasibility of using quantitative OCTA features for machine learning classification of different retinopathies has been demonstrated. Deep learning-based applications have also been explored for automatic OCTA image analysis and disease classification. In this article, we summarize recent developments of quantitative OCTA features, machine learning image analysis, and classification.

scholarly journals Cumulant functions in optical coherence theory

Pramana ◽  
1984 ◽  
Vol 23 (3) ◽  
pp. 327-332
Author(s):  
CL Mehta
Keyword(s):  
Coherence Theory ◽  
Optical Coherence ◽  
Cumulant Functions

Optical Coherence Theory

1968 ◽  
Vol 15 (4) ◽  
pp. 414-415
Author(s):  
Peter Fellgett
Keyword(s):  
Coherence Theory ◽  
Optical Coherence
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