Baamonde, SergioMoura, Joaquim deNovo Buján, JorgeBarreira, NoeliaOrtega Hortas, Marcos2024-06-062024-06-062018-09Baamonde, 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/proceedings21811612504-3900http://hdl.handle.net/2183/36829Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018Extended 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.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/3.0/es/Epiretinal membraneRetinal LayersMedical imagingOptical Coherence Tomographyconference outputopen access10.3390/proceedings2181161