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Title: A fully automated system for retinal vessel tortuosity diagnosis using scale dependent vessel tracing and grading
Authors: Li, Q
You, J 
Wang, J
Wong, A
Keywords: Eye
Image segmentation
Medical image processing
Patient diagnosis
Issue Date: 2010
Publisher: IEEE
Source: 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 12-15 October 2010, Perth, WA, p. 221-225 How to cite?
Abstract: A fully automated system for retinal vessel tortuosity system diagnosis is proposed in this paper. Our diagnosis system includes: (1) automated retinal vessel segmentation and tracing; (2) computerized tortuosity grading. In recent years, many works have been done on computerized diagnosis of retinal vessel tortuosity. But there are few researchers working on a fully automated system. The major difficulties in producing a fully automated system includes: (1) automated tracing of vessels to identify each individual branch; (2) global tortuosity grading of a retinal vessel image. In this paper, we propose a scheme to trace and grade retinal vessels using scale (variant widths and lengths of vessel segments) dependent techniques. The experimental results show that our system is useful in clinical applications.
ISBN: 978-1-4244-9167-4
ISSN: 1063-7125
DOI: 10.1109/CBMS.2010.6042645
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