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Detection of Diabetic Retinopathy Using Image Processing

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Advances in Natural Language Processing, Intelligent Informatics and Smart Technology (SNLP 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 684))

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Abstract

Diabetic retinopathy has been found in from 22% of diabetic patients from the latest survey, which can lead to blindness later. Thus, eye exams should be scheduled no less than annually for patients with diabetes. On the other hand, there is an apparent deficiency in the number of medical professionals specializing in ophthalmology, which may hinder the discovery and care of diabetic retinopathy. The idea to stimulate a detection system for screening of diabetic retinopathy by using morphological and image segmentation methods to facilitate and make a preliminary decision with ophthalmologists is introduced. From the experimental results, the detection system provides good exudate detection and classification results for all 60 retina images for accurate up to 85%.

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References

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Acknowledgements

This project is supported by Department of Computer Engineering, Faculty of Engineering, Mahidol University. We would like to thank Institute of Medical Research and Technology Assessment for the database.

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Authors and Affiliations

  1. Image, Information and Intelligence Laboratory, Department of Computer Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand

    Ratikanlaya Tanthuwapathom & Narit Hnoohom

Authors
  1. Ratikanlaya Tanthuwapathom
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  2. Narit Hnoohom
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Corresponding author

Correspondence to Narit Hnoohom .

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Editors and Affiliations

  1. School of Information, Computer, and Communication Technology (ICT), Sirindhorn International Institute of Technology (SIIT), Thammasat University, Khlong Luang, Pathum Thani, Thailand

    Thanaruk Theeramunkong

  2. Faculty of Science and Technology, Department of Computer Science, Thammasat University, Khlong Luang, Pathum Thani, Thailand

    Rachada Kongkachandra

  3. Language and Semantic Technology Laboratory, National Electronics and Computer Technology Center, Khlong Luang, Pathum Thani, Thailand

    Thepchai Supnithi

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Tanthuwapathom, R., Hnoohom, N. (2018). Detection of Diabetic Retinopathy Using Image Processing. In: Theeramunkong, T., Kongkachandra, R., Supnithi, T. (eds) Advances in Natural Language Processing, Intelligent Informatics and Smart Technology. SNLP 2016. Advances in Intelligent Systems and Computing, vol 684. Springer, Cham. https://doi.org/10.1007/978-3-319-70016-8_22

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  • DOI: https://doi.org/10.1007/978-3-319-70016-8_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70015-1

  • Online ISBN: 978-3-319-70016-8

  • eBook Packages: EngineeringEngineering (R0)

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