期刊论文详细信息
Proceedings | |
Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised Training | |
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, 27â28 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
【 预 览 】
Files | Size | Format | View |
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RO201910257691742ZK.pdf | 300KB | download |