Automatic Estimation of the Arteriolar-to-Venular Ratio in Retinal Images Using a Graph-Based Approach for Artery/Vein Classification

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Behdad Dashtbozorg (Autor) Outra; Ana Maria Mendonca (Autor) FEUP; Auelio Campilho (Autor) Outra

Ata de Conferência Internacional

Título: IMAGE ANALYSIS AND RECOGNITION

Páginas: 530-538

10th International Conference on Image Analysis and Recognition (ICIAR)

Pvoa do Varzim, PORTUGAL, JUN 26-28, 2013

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 2 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-008-E99

DOI: 10.1007/978-3-642-39094-4_60

Abstract (EN): The Arteriolar-to-Venular Ratio (AVR) is a well known index for the diagnosis of diseases such as diabetes, hypertension or cardiovascular pathologies. This paper presents a fully automatic AVR estimation method which uses a graph-based artery/vein classification approach to classify the retinal vessels by a combination of structural information taken from the vasculature graph with intensity features from the original color image. This method was evaluated on the images of the INSPIRE-AVR dataset. The mean error and the correlation coefficient of obtained results with respect to the reference AVR values were identical to the ones obtained by the second observer using a semi-automated system, which demonstrate the potential of the herein proposed solution for clinical application.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9