Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/85679
Author(s): Behdad Dashtbozorg
Ana Maria Mendonça
Aurélio Campilho
Title: An automatic graph-based method for retinal blood vessel classification
Issue Date: 2012
Abstract: In this paper, we present an automatic approach to classify retinal vessels into artery and vein classes by analyzing the extracted graph from the vasculature tree and deciding on the type of intersection points (bifurcation, crossing or meeting points). The results obtained by the proposed method were compared with manual classification on 40 images of the INSPIRE-AVR dataset.
URI: https://hdl.handle.net/10216/85679
Source: Atas do RecPad 2012
Document Type: Artigo em Livro de Atas de Conferência Nacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Nacional

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