Automatic detection of non-proliferative diabetic retinopathy in retinal fundus images using convolution neural network

P. Saranya; S. Prabakaran

doi:10.1007/s12652-020-02518-6

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Automatic detection of non-proliferative diabetic retinopathy in retinal fundus images using convolution neural network

P. Saranya S. Prabakaran

Year: 2020 Journal: Journal of Ambient Intelligence and Humanized Computing Publisher: Springer Science+Business Media

DOI: 10.1007/s12652-020-02518-6

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Keywords:

Diabetic retinopathy Fundus (uterus) Computer science Retinopathy Artificial intelligence Convolutional neural network Retinal Retina Medicine Ophthalmology Computer vision Diabetes mellitus Preprocessor Optometry Pattern recognition (psychology) Neuroscience

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Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Retinal Diseases and Treatments

Health Sciences → Medicine → Ophthalmology

Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

Automatic detection of non-proliferative diabetic retinopathy in retinal fundus images using convolution neural network

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Citation History

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