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A Comprehensive Review on Automatic Diagnosis of Diabetic Maculopathy in Retinal Fundus Images

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 968))

Abstract

Diabetic Maculopathy (DM) is one of the major problems of diabetes mellitus and it is one of the key reasons for the vision problem. It arises due to the leakage of blood from injured retinal veins. The development of DM is moderate and soundless and it is found in 10% of the world diabetic population. If diabetic maculopathy is not noticed in the underlying stage the effect this on macula is irreversible and can prompt vision loss. Therefore, screening of diabetic eye helps in finding diabetic maculopathy at the beginning stage which prevents the vision loss. In this review paper, the anatomy of the human eye and a brief overview of diabetes, diabetic retinopathy and diabetic maculopathy is presented. The literature review of various methods/techniques used for detection of DM in retinal fundus images and the performance metrics used to measure these methods are discussed in details. Issues involved in DM detection are also mentioned in this paper.

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Author information

Authors and Affiliations

  1. Department of CSE, BMSIT & M, Bengaluru, Karnataka, India

    I. S. Rajesh & M. A. Bharathi

  2. Department of Information Science and Engineering, BEC, Bagalkot, Karnataka, India

    Bharati M. Reshmi

Authors
  1. I. S. Rajesh
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  2. M. A. Bharathi
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  3. Bharati M. Reshmi
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Corresponding author

Correspondence to I. S. Rajesh .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  2. Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

  3. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Sri Krishnan

  4. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. University of Naples Federico II, Naples, Italy

    Domenico Ciuonzo

  6. Electrical Engineering Department, Indian Institute of Technology Patna, Patna, India

    Maheshkumar H. Kolekar

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Rajesh, I.S., Bharathi, M.A., Reshmi, B.M. (2019). A Comprehensive Review on Automatic Diagnosis of Diabetic Maculopathy in Retinal Fundus Images. In: Thampi, S., Marques, O., Krishnan, S., Li, KC., Ciuonzo, D., Kolekar, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2018. Communications in Computer and Information Science, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-13-5758-9_35

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  • DOI: https://doi.org/10.1007/978-981-13-5758-9_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5757-2

  • Online ISBN: 978-981-13-5758-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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