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

  • Maciej SzymkowskiEmail author
  • Emil Saeed
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Optical coherence tomography OCT Diabetes mellitus Age-related macular degeneration Exudates Retina disorders Image processing Classification Computer detection algorithm Automated diagnosis 

Notes

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.

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Copyright information

© Springer-Verlag GmbH Germany 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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