An automated retinal image quality grading algorithm.
Annu Int Conf IEEE Eng Med Biol Soc
; 2011: 5955-8, 2011.
Article
em En
| MEDLINE
| ID: mdl-22255696
ABSTRACT
This paper introduces an algorithm for the automated assessment of retinal fundus image quality grade. Retinal image quality grading assesses whether the quality of the image is sufficient to allow diagnostic procedures to be applied. Automated quality analysis is an important preprocessing step in algorithmic diagnosis, as it is necessary to ensure that images are sufficiently clear to allow pathologies to be visible. The algorithm is based on standard recommendations for quality analysis by human screeners, examining the clarity of retinal vessels within the macula region. An evaluation against a reference standard data-set is given; it is shown that the algorithm's performance correlates closely with that of clinicians manually grading image quality.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Retina
/
Algoritmos
/
Reconhecimento Automatizado de Padrão
/
Interpretação de Imagem Assistida por Computador
/
Aumento da Imagem
/
Retinoscopia
Tipo de estudo:
Diagnostic_studies
/
Guideline
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Ano de publicação:
2011
Tipo de documento:
Article