NDLI: Unified methodology for evaluating vessel tree tortuosity metrics in eye fundus images

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Unified methodology for evaluating vessel tree tortuosity metrics in eye fundus images

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Unified methodology for evaluating vessel tree tortuosity metrics in eye fundus images

Content Provider	IEEE Xplore Digital Library
Author	Sanchez, L. Novo, J. Fernandez, A. Barja, J.M.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Univ. of A Coruna, A Coruna, Spain (Sanchez, L.; Novo, J.; Fernandez, A.; Barja, J.M.)
Abstract	The tortuosity of a vessel, that is, how and how many times it bends, is a relevant measure to diagnose different pathologies. However, there is an important drawback, as each specialist has its own estimation about what a tortuous vessel is, and the process has to be evaluated manually, implying a large and tedious work. Numerous studies had attempted to define a reliable and deterministic measure for this parameter, but employing different approaches, inputs and validation criteria. In this article, we intended to implement a unified methodology that integrates the different metrics and also to establish a comparison among them, employing the same inputs, validation criteria and procedure for the vascular tree extraction.
Starting Page	528
Ending Page	529
File Size	285616
Page Count	2
File Format	PDF
ISBN	9781479910533
DOI	10.1109/CBMS.2013.6627862
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-20
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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