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Volumn 245, Issue , 2017, Pages 559-563
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Development of a deep learning algorithm for automatic diagnosis of diabetic retinopathy
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Author keywords
Artificial intelligence; Diabetic retinopathy; Neural networks (computer)
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Indexed keywords
ARTIFICIAL INTELLIGENCE;
BLOOD VESSELS;
COMPUTER AIDED INSTRUCTION;
DEEP LEARNING;
DIAGNOSIS;
HEALTH CARE;
LEARNING ALGORITHMS;
NEURAL NETWORKS;
OPHTHALMOLOGY;
AUTOMATIC DIAGNOSIS;
CONVOLUTIONAL NEURAL NETWORK;
DIABETIC RETINOPATHY;
FINANCIAL COSTS;
RETINAL BLOOD VESSELS;
EYE PROTECTION;
ALGORITHM;
ARTIFICIAL NEURAL NETWORK;
AUTOMATION;
DIABETIC RETINOPATHY;
HUMAN;
MACHINE LEARNING;
SENSITIVITY AND SPECIFICITY;
ALGORITHMS;
AUTOMATION;
DIABETIC RETINOPATHY;
HUMANS;
MACHINE LEARNING;
NEURAL NETWORKS (COMPUTER);
SENSITIVITY AND SPECIFICITY;
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EID: 85040511870
PISSN: 09269630
EISSN: 18798365
Source Type: Book Series
DOI: 10.3233/978-1-61499-830-3-559 Document Type: Conference Paper |
Times cited : (73)
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References (9)
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