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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
Boris I. Gramatikov
School of Medicine
Research output
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Contribution to journal
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Article
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peer-review
9
Scopus citations
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Dive into the research topics of 'Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning'. Together they form a unique fingerprint.
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Medicine & Life Sciences
Birefringence
100%
Ocular Vision
57%
Pediatrics
43%
Amblyopia
42%
Calibration
35%
Eye
31%
Entropy
20%
Ophthalmologists
19%
Blindness
17%
Retina
14%
Datasets
13%
Sensitivity and Specificity
12%
Direction compound
12%
Light
12%
Aptitude
11%
Neurons
10%
Engineering & Materials Science
Birefringence
99%
Pediatrics
92%
Scanning
52%
Neural networks
41%
Statistical methods
28%
Network architecture
21%
Calibration
17%
Network performance
10%
Backpropagation
10%
Neurons
10%
Polarization
10%
Pattern recognition
9%
Entropy
9%
Chemical Compounds
Birefringence
80%
Retinal
78%
Pattern Recognition
40%
Error
25%
Polarization
25%