Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised Training

Proceedings

Novo, Jorge¹  Moura, Joaquim de²  Barreira, Noelia³  Baamonde, Sergio⁴ 

[1] Author to whom correspondence should be addressed.;CITIC-Research Center of Information and Communication Technologies, University of A Coruña, 15071 A Coruña, Spain;Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018;VARPA Group, Department of Computer Science, University of A Coruña, 15071 A Coruña, Spain

关键词: epiretinal membrane;    Retinal Layers;    medical imaging;    Optical Coherence Tomography;   

DOI  :  10.3390/proceedings2181161

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY