Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised Training
Title
Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised TrainingAuthor(s)
Date
2018-09Citation
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
Abstract
[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.
Keywords
Epiretinal membrane
Retinal Layers
Medical imaging
Optical Coherence Tomography
Retinal Layers
Medical imaging
Optical Coherence Tomography
Description
Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018 Extended Abstract
Editor version
Rights
Atribución 4.0 Internacional
ISSN
2504-3900