Author : A. Shanthini
Publisher : Springer Nature
ISBN 13 : 9811938776
Total Pages : 80 pages
Book Rating : 4.8/5 (119 download)
Book Synopsis Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy by : A. Shanthini
Download or read book Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy written by A. Shanthini and published by Springer Nature. This book was released on 2022-08-23 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.