A Study on Automated Segmentation of Retinal Layers in Optical Coherence Tomography Images

被引：0
|
作者：
Ngo, Lua [1 ]
Yih, Geown [1 ]
Ji, Seungbae [1 ]
Han, Jae-Ho [1 ]
机构：
[1] Korea Univ, Dept Brain & Cognit Engn, Seoul, South Korea
来源：
2016 4TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI) | 2016年
关键词：
Biomedical optical imaging; image segmentation; medical image processing; optical coherence tomography; retina; MACHINE LEARNING CLASSIFIERS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The great achievements in both advanced optical coherence tomography (OCT) technique and computational methods contribute an undeniable tools in clinical diagnosis, especially in ophthalmological diseases diagnosis. Motived to catch up the state of art, the contemporary OCT image segmentation methods widely applied are reviewed and systematically summarized.
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页数：2
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