A. Shanthini,
Gunasekaran Manogaran,
G. Vadivu
Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy
Gebonden Engels 2022 9789811938764
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9789811938764
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore
Serie:Series in BioEngineering
Lezersrecensies
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Inhoudsopgave
Introduction.- Chapter 1 - Background of diabetic retinopathy.- Chapter 2 - Classification of diabetic retinopathy.- Chapter 3 - Deep convolutional neural network architecture.- Chapter 4 - Deep convolutional neural network applications and visualization tools.- Chapter 5 - Multi-platform deployment for prognosis system.- Chapter 6 - Case Studies for diabetic retinopathy with a deep learning system.
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