Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy
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Beschreibung
This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.
This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.
Outlines a detailed overview of diabetic retinopathy, symptoms, causes and screening methodologies Presents a deep learning approach to automatically detect diabetic retinopathy from captured retina image Demonstrates a higher prediction rate of diabetic retinopathy and efficiency in early detection
Autor*in
A. Shanthini
Themen in »Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy«
Diabetic Retinopathy (DR) Optical Coherence Tomography (OCT) Non Proliferative Diabetic Retinopathy (NDPR) Fundus Fluorescein Angiography Fully Convolutional Neural Network Deep Learning Neural Network Face Recognition Semantic Segmentation Prognosis System