Automatic Detection of Epiretinal Membrane in OCT Images by Means of Local Luminosity Patterns

被引：15

作者：

Baamonde, Sergio ^{[1
]}

de Moura, Joaquim ^{[1
]}

Novo, Jorge ^{[1
]}

Ortega, Marcos ^{[1
]}

机构：

[1] Univ A Coruna, VARPA Grp, Dept Comp Sci, La Coruna, Spain

来源：

ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT I | 2017年 / 10305卷

关键词：

Epiretinal membrane; Retinal layers; Medical imaging; Optical coherence tomography; OPTICAL COHERENCE TOMOGRAPHY; VITREOMACULAR TRACTION; SURGERY;

D O I：

10.1007/978-3-319-59153-7_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work presents a novel approach for automatic detection of the epiretinal membrane in Optical Coherence Tomography (OCT) images. A tool able to detect this pathology is very valued since it can prevent further ocular damage by doing an early detection. This approach is based in the location of the inner limiting membrane (ILM) layers of the retina. Then, the detected locations are classified using a local-feature based vector in order to determine presence of the membrane. Different tests are run and compared to establish the appropriateness of the approach as well as its practical validity.

引用

页码：222 / 235

页数：14