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http://hdl.handle.net/2183/37692

Computerized tool for the automatic segmentation of DRT edemas using OCT scans

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URI: http://hdl.handle.net/2183/37692
DOI: 10.1088/978-0-7503-2052-8ch1

Publication date

2023

Authors

Vidal, Plácido

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Journal Title

Bibliographic citation

de Moura, J., Vidal, P. L., Novo, J., & Ortega, M. (2023). Computerized tool for the automatic segmentation of DRT edemas using OCT scans. In Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (pp. 1-1). Bristol, UK: IOP Publishing. https://doi.org/10.1088/978-0-7503-2052-8ch1

Type of academic work

Academic degree

Abstract

[Abstract]: This chapter presents a software tool for the automated segmentation of diffuse retinal thickening regions from optical coherence tomography (OCT) images. For this purpose, two retinal regions were defined and extracted: the inner retina and the outer retina. Then, a learning process was used to analyze a comprehensive and heterogeneous subset of relevant patterns in the OCT scans. Finally, two complementary post-processing stages were applied to improve the obtained performance and the overall efficiency of the presented tool. The presented tool achieved satisfactory performance, which demonstrates the suitability of the adopted solution.

Description

Part of Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (pp. 1-1). Bristol, UK: IOP Publishing. https://doi.org/10.1088/978-0-7503-2052-8

Keywords

Optical coherence tomography Diabetic macular edema

Editor version

https://doi.org/10.1088/978-0-7503-2052-8ch1

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Copyright © IOP Publishing Ltd 2023

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Investigación (FIC)