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        Analysis and classification of lung tissue in ultrasound images for pneumonia detection

        Fecha
        2020-01-03
        Registro en:
        L. Valdes-Burgos, S. L. Contreras-Ojeda, J. A. Domínguez-Jiménez, J. Lopez-Bueno, and S. H. Contreras-Ortiz "Analysis and classification of lung tissue in ultrasound images for pneumonia detection", Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 1133003 (3 January 2020); https://doi.org/10.1117/12.2542615
        https://hdl.handle.net/20.500.12585/9517
        https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11330/1133003/Analysis-and-classification-of-lung-tissue-in-ultrasound-images-for/10.1117/12.2542615.short
        10.1117/12.2542615
        Universidad Tecnológica de Bolívar
        Repositorio Universidad Tecnológica de Bolívar
        Autor
        Valdes-Burgos, L.
        Contreras Ojeda, Sara
        Domínguez Jiménez, Juan Antonio
        López-Bueno J.
        Contreras Ortiz, Sonia Helena
        Institución
        • Universidad Tecnológica de Bolivar UTB (Colombia)
        Resumen
        Pneumonia is an infection of the lungs caused by virus, bacteria or fungi. It affects mainly children under five and can be life-threatening. Diagnosis of pneumonia is usually performed using imaging techniques such as chest radiography, ultrasound, and CT. Several studies have shown that ultrasound is an effective, safe and cost-efficient technique for pneumonia detection. However, due to the low signal-to-noise ratio of the images, this technique is highly dependent on the experience of the practitioner. This paper proposes an approach for pneumonia detection from image texture features. We used empirical mode decomposition for feature extraction, principal component analysis for dimensionality reduction and supervised learning methods for classification. Results show that features of the first mode present large differences between healthy and pneumonia patients according to the Cohen’s d index. Pneumonia detection was possible with a rotation forest model with a mean accuracy of 83.33%.
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        Red de Repositorios Latinoamericanos
        + de 8.000.000 publicaciones disponibles
        500 instituciones participantes
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Ingreso Administradores
        Colecciones destacadas
        • Tesis latinoamericanas
        • Tesis argentinas
        • Tesis chilenas
        • Tesis peruanas
        Nuevas incorporaciones
        • Argentina
        • Brasil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018