Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised Training
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http://hdl.handle.net/2183/36829
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Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised TrainingAutor(es)
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2018-09Cita bibliográfica
Baamonde, S.; Moura, J.d.; Novo, J.; Barreira, N.; Ortega, M. Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised Training. Proceedings 2018, 2, 1161. Presented at the XoveTIC Congress 2018. https://doi.org/10.3390/proceedings2181161
Resumo
[Abstract]: This work presents an automatic method to characterize the presence or absence of the epiretinal membrane (ERM) in Optical Coherence Tomography (OCT) images. To this end, a predefined set of classifiers is used on multiple local-based feature vectors which represent the inner limiting membrane (ILM), the layer of the retina where the ERM can be present.
Palabras chave
Epiretinal membrane
Retinal Layers
Medical imaging
Optical Coherence Tomography
Retinal Layers
Medical imaging
Optical Coherence Tomography
Descrición
Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018 Extended Abstract
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Atribución 4.0 Internacional
ISSN
2504-3900