Proceedings Paper
Automated segmentation of nine retinal layers with layer thickness information on SD-OCT images| Format | Member Price | Non-Member Price |
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Paper Abstract
Changes in the structure of the retina can reflect a variety of pathological physiological changes. To analyze the structural characteristics of the retina layers, an automated segmentation algorithm of retinal layers was developed. This algorithm, based on the Dijkstra's algorithm, limiting the search region with statistics information of layer thickness information, constructs a graph from every 2D OCT image and use a shortest path algorithm to iteratively segment multiple layers. The experiments showed that this segmentation algorithm has great repeatability, accuracy, and high efficiency.
Paper Details
Date Published: 29 August 2016
PDF: 4 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331G (29 August 2016); doi: 10.1117/12.2244637
Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)
PDF: 4 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331G (29 August 2016); doi: 10.1117/12.2244637
Show Author Affiliations
Xiaoming Liu, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Jia Wang, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Jia Wang, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Zhou Yang, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Wei Hu, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Wei Hu, Wuhan Univ. of Science and Technology (China)
Hubei Province Key Lab. of Intelligent Information Processing and Real-time Industrial System (China)
Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)
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