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Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images

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URI: http://hdl.handle.net/2183/36986
DOI: 10.1007/978-3-030-45096-0_34

Publication date

2020

Authors

Vidal, Plácido

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Journal Title

Bibliographic citation

Vidal, P., de Moura, J., Novo, J., Penedo, M.G., Ortega, M. (2020). Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_34

Type of academic work

Academic degree

Abstract

[Abstract]: Fluid accumulations in between the retinal layers represent one of the main causes of blindness in developed countries. Currently, these fluid accumulations are detected by means of a manual inspection of Optical Coherence Tomography images, prone to subjective and non-quantifiable diagnostics. For this reason, numerous works aimed for an automated methodology. Nonetheless, these systems mostly focus on obtaining a defined segmentation, which is not always possible. For this reason, we present in this work a fully automatic methodology based in a fuzzy and confidence-based visualization of a regional analysis, allowing the clinicians to study the fluid accumulations independently of their distribution, complications and/or other artifacts that may complicate the identification process.

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This version of the conference paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-45096-0_34.
17th International Conference on Computer Aided Systems Theory, EUROCAST 2019, Las Palmas de Gran Canaria, Spain, February 17–22, 2019.
Includes the extended abstract.

Keywords

Optical Coherence Tomography Intraretinal cystoid fluid regions Computer-aided diagnosis Pathology map generation

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https://doi.org/10.1007/978-3-030-45096-0_34

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© 2020 Springer Nature Switzerland AG

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Investigación (FIC)