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2021 | OriginalPaper | Buchkapitel

Automation of the Detection of Pathological Changes in the Morphometric Characteristics of the Human Eye Fundus Based on the Data of Optical Coherence Tomography Angiography

verfasst von : Igor Gurevich, Maria Budzinskaya, Vera Yashina, Adil Tleubaev, Vladislav Pavlov, Denis Petrachkov

Erschienen in: Pattern Recognition. ICPR International Workshops and Challenges

Verlag: Springer International Publishing

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Abstract

This paper presents the results of the joint work of image analysis specialists and ophthalmologists on the task of analyzing images obtained by the method of optical coherence tomography angiography. A method was developed to automate the detection of pathological changes in the morphometric characteristics of the fundus. The solution of the image recognition problem assumes the presence of certain image representations, the presence of effective recognition algorithms, and the compliance of the used image representations with the requirements of the recognition algorithms for the source data. To reduce images to a form that is easy to recognize we considered sets of features that met all the necessary requirements of specialists. Chosen feature model was implemented to the problem of classification of images of patients with and without pathologies. The developed method makes it possible to classify pathological changes in the vascular bed of the human eye with high accuracy.

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Titel: Automation of the Detection of Pathological Changes in the Morphometric Characteristics of the Human Eye Fundus Based on the Data of Optical Coherence Tomography Angiography
verfasst von: Igor Gurevich
Maria Budzinskaya
Vera Yashina
Adil Tleubaev
Vladislav Pavlov
Denis Petrachkov
Verlag: Springer International Publishing
Buch: Pattern Recognition. ICPR International Workshops and Challenges
Print ISBN: 978-3-030-68820-2

Electronic ISBN: 978-3-030-68821-9

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-68821-9_24

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