Automatic detection of epiretinal membrane in OCT images by means of local luminosity patterns

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Abstract

This work presents a novel approach for automatic detection of the epiretinal membrane in Optical Coherence Tomography (OCT) images. A tool able to detect this pathology is very valued since it can prevent further ocular damage by doing an early detection. This approach is based in the location of the inner limiting membrane (ILM) layers of the retina. Then, the detected locations are classified using a localfeature based vector in order to determine presence of the membrane. Different tests are run and compared to establish the appropriateness of the approach as well as its practical validity.

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Baamonde, S., De Moura, J., Novo, J., & Ortega, M. (2017). Automatic detection of epiretinal membrane in OCT images by means of local luminosity patterns. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10305 LNCS, 222–235. https://doi.org/10.1007/978-3-319-59153-7_20

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