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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/56014

    Título
    Combination of global features for the automatic quality assessment of retinal images
    Autor
    Jimenez García, JorgeAutoridad UVA Orcid
    Romero Oraa, RobertoAutoridad UVA
    García Gadañón, MaríaAutoridad UVA Orcid
    López Gálvez, María IsabelAutoridad UVA
    Hornero Sánchez, RobertoAutoridad UVA Orcid
    Año del Documento
    2019
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Entropy, 2019, vol. 21, n. 3, 311
    Abstract
    Diabetic retinopathy (DR) is one of the most common causes of visual loss in developed countries. Computer-aided diagnosis systems aimed at detecting DR can reduce the workload of ophthalmologists in screening programs. Nevertheless, a large number of retinal images cannot be analyzed by physicians and automatic methods due to poor quality. Automatic retinal image quality assessment (RIQA) is needed before image analysis. The purpose of this study was to combine novel generic quality features to develop a RIQA method. Several features were calculated from retinal images to achieve this goal. Features derived from the spatial and spectral entropy-based quality (SSEQ) and the natural images quality evaluator (NIQE) methods were extracted. They were combined with novel sharpness and luminosity measures based on the continuous wavelet transform (CWT) and the hue saturation value (HSV) color model, respectively. A subset of non-redundant features was selected using the fast correlation-based filter (FCBF) method. Subsequently, a multilayer perceptron (MLP) neural network was used to obtain the quality of images from the selected features. Classification results achieved 91.46% accuracy, 92.04% sensitivity, and 87.92% specificity. Results suggest that the proposed RIQA method could be applied in a more general computer-aided diagnosis system aimed at detecting a variety of retinal pathologies such as DR and age-related macular degeneration.
    Palabras Clave
    Diabetic retinopathy
    Retinopatía diabética
    Spectral entropy
    Entropía espectral
    ISSN
    1099-4300
    Revisión por pares
    SI
    DOI
    10.3390/e21030311
    Patrocinador
    Ministerio de Ciencia, Innovación y Universidades - Fondo Europeo de Desarrollo Regional (projects RTC-2015-3467-1 and DPI2017-84280-R)
    Version del Editor
    https://www.mdpi.com/1099-4300/21/3/311
    Propietario de los Derechos
    © 2019 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/56014
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • GIB - Artículos de revista [36]
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    Universidad de Valladolid

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