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Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy / by A. Shanthini, Gunasekaran Manogaran, G. Vadivu.
- Format:
- Book
- Author/Creator:
- Shanthini, A., author.
- Manogaran, Gunasekaran, author.
- Vadivu, G., author.
- Series:
- Series in BioEngineering, 2196-887X
- Language:
- English
- Subjects (All):
- Biomedical engineering.
- Ophthalmology.
- Signal processing.
- Computational intelligence.
- Biomedical Engineering and Bioengineering.
- Signal, Speech and Image Processing.
- Computational Intelligence.
- Local Subjects:
- Biomedical Engineering and Bioengineering.
- Ophthalmology.
- Signal, Speech and Image Processing.
- Computational Intelligence.
- Physical Description:
- 1 online resource (80 pages)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
- System Details:
- Mode of access: World Wide Web.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Includes bibliographical references (pages 69-75).
- Other Format:
- Print version: Shanthini, A. Deep Convolutional Neural Network for the Prognosis of Diabetic Retinopathy
- ISBN:
- 981-19-3877-6
- OCLC:
- 1343250484
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