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Using Deep Learning for the Detection of Ocular Diseases Caused by Diabetes

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Advances on Intelligent Computing and Data Science (ICACIn 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 179))

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Abstract

Early diagnosis in ophthalmic field is the main key for many patients to avoid serious damage of the eye. In many cases ocular illnesses are caused by other health problems such as diabetes. In this article an investigation on the diagnosis, using deep learning, of ocular diseases caused by diabetes was conducted paying particular attention to cataract, glaucoma and diabetic retinopathy. The proposed approach to identify and classify these three diseases performed 96% accuracy on training, 89% on validation and 90.63% on testing. A deployment prototype of this model was also presented to build a suitable computer aided diagnosis tool.

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Author information

Authors and Affiliations

  1. Laboratory of Bioscience and Health, FMPM, UCA, Marrakech, Morocco

    Asma Sbai

  2. Laboratory LIMA, ENSA AGADIR, UIZ, Agadir, Morocco

    Lamya Oukhouya

  3. Laboratory of Engineering Science, FSA, UIZ, Agadir, Morocco

    Abdelali Touil

Authors
  1. Asma Sbai
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  2. Lamya Oukhouya
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  3. Abdelali Touil
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Corresponding author

Correspondence to Asma Sbai .

Editor information

Editors and Affiliations

  1. School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

    Faisal Saeed

  2. Information Systems Department, School of Computing, Universiti Utara Malaysia (UUM), Sintok, Malaysia

    Fathey Mohammed

  3. Faculty of Sciences, University of Hassan II Casablanca, Casablanca, Morocco

    Errais Mohammed

  4. Department of Computing and Technology, Nottingham Trent University, Nottingham, UK

    Tawfik Al-Hadhrami

  5. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Mohammed Al-Sarem

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Sbai, A., Oukhouya, L., Touil, A. (2023). Using Deep Learning for the Detection of Ocular Diseases Caused by Diabetes. In: Saeed, F., Mohammed, F., Mohammed, E., Al-Hadhrami, T., Al-Sarem, M. (eds) Advances on Intelligent Computing and Data Science. ICACIn 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-031-36258-3_10

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