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Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy

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 ret...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Shanthini, A. (Tekijä), Manogaran, Gunasekaran (Tekijä), Vadivu, G. (Tekijä)
Yhteisötekijä: SpringerLink (Online service)
Aineistotyyppi: Elektroninen E-kirja
Kieli:englanti
Julkaistu: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Painos:1st ed. 2023.
Sarja:Series in BioEngineering,
Aiheet:
Biomedical engineering.
Ophthalmology.
Signal processing.
Computational intelligence.
Biomedical Engineering and Bioengineering.
Signal, Speech and Image Processing.
Computational Intelligence.
Linkit:https://doi.org/10.1007/978-981-19-3877-1
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Sisällysluettelo:
  • 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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