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A Novel Approach of Retinal Disorder Diagnosing Using Optical Coherence Tomography Scanners

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Transactions on Computational Science XXXI

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 10730))

Abstract

OCT is a promising technology that allows getting a lot of data in each sample. Authors hope that it is possible to create a system that would automatically diagnose various retinal diseases basing on OCT images with the accuracy of 95% which may revolutionize and shorten diagnostic pathway. At the beginning authors focus on automatic distinguishing the healthy images from pathological retinas. In this paper a novel approach has been presented. The algorithm has been described and results have been revealed and discussed. OCT is a way for detecting many various diseases. However, the amount of information to be processed is much more numerous so the task seems to be more difficult than it is in fundus imaging. In this paper some advanced diseases with the macular oedema detection algorithm basing on OCT images are presented.

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Acknowledgements

We would like express our sincere thanks to Medical University of Bialystok, Department of Ophthalmology. No work could be done without the generous help in sharing the data to process as well as the expertise.

This work was supported by grant S/WI/1/2013 from Bialystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland.

Author information

Authors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Maciej Szymkowski

  2. Department of Ophthalmology, Faculty of Medicine, Medical University of Bialystok, Bialystok, Poland

    Emil Saeed

Authors
  1. Maciej Szymkowski
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  2. Emil Saeed
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Corresponding author

Correspondence to Maciej Szymkowski .

Editor information

Editors and Affiliations

  1. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  2. Sardina Systems OÜ, Tallinn, Estonia

    C.J. Kenneth Tan

  3. University of Calcutta, Calcutta, India

    Nabendu Chaki

  4. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

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Szymkowski, M., Saeed, E. (2018). A Novel Approach of Retinal Disorder Diagnosing Using Optical Coherence Tomography Scanners. In: Gavrilova, M., Tan, C., Chaki, N., Saeed, K. (eds) Transactions on Computational Science XXXI. Lecture Notes in Computer Science(), vol 10730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56499-8_3

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  • DOI: https://doi.org/10.1007/978-3-662-56499-8_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-56498-1

  • Online ISBN: 978-3-662-56499-8

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