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Retina Tomography and Optical Coherence Tomography in Eye Diagnostic System

  • Maciej Szymkowski
  • Emil Saeed
  • Khalid Saeed
Chapter
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 666)

Abstract

Eye diagnostic, two-step method based on retina color image and Optical Coherence Tomography is presented in this paper. A new robust algorithm, by which various eye diseases can be diagnosed, was implemented as an essential part of the work. The approach comprises two steps. The first one deals with the analysis of retina color image. In this stage, an algorithm was implemented to especially search hard exudates. If the algorithm returns positive, it means at least one hard exudate was found. Moreover, it may return hesitant results in the case of changes that look like hard exudates. During the second step, additional analysis of Optical Coherence Tomography image is done. In this stage, the algorithm is looking for confirmation of hard exudates, which were found during the first step. The authors’ approach gives more confidence in the cases of small exudates or initial stages for eye diseases.

Keywords

Image analysis Retina in slit lamp examination Optical Coherence Tomography Eye diseases Automated diagnosis 

Notes

Acknowledgements

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.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Faculty of Computer ScienceBialystok University of TechnologyBialystokPoland
  2. 2.Department of Ophthalmology Faculty of MedicineMedical University of BialystokBialystokPoland

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