Articles producció científica> Enginyeria Informàtica i Matemàtiques

The impact of pixel resolution, integration scale, preprocessing, and feature normalization on texture analysis for mass classification in mammograms

  • Dades identificatives

    Identificador: PC:1495
    Autors:
    Mohamed Abdel-NasserJaime MelendezAntonio MorenoDomenec Puig
    Resum:
    DOI: 10.1155/2016/1370259
  • Altres:

    Autor segons l'article: Mohamed Abdel-Nasser; Jaime Melendez; Antonio Moreno; Domenec Puig
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: ABDELNASSER MOHAMED MAHMOUD, MOHAMED; Jaime Melendez; MORENO RIBAS, ANTONIO; PUIG VALLS, DOMÈNEC SAVI
    Paraules clau: Pixels mammography image processing
    Resum: Texture analysis methods are widely used to characterize breast masses in mammograms. Texture gives information about the spatial arrangement of the intensities in the region of interest. This information has been used in mammogram analysis applications such as mass detection, mass classification, and breast density estimation. In this paper, we study the effect of factors such as pixel resolution, integration scale, preprocessing, and feature normalization on the performance of those texture methods for mass classification. The classification performance was assessed considering linear and nonlinear support vector machine classifiers. To find the best combination among the studied factors, we used three approaches: greedy, sequential forward selection (SFS), and exhaustive search. On the basis of our study, we conclude that the factors studied affect the performance of texture methods, so the best combination of these factors should be determined to achieve the best performance with each texture method. SFS can be an appropriate way to approach the factor combination problem because it is less computationally intensive than the other methods.
    Grup de recerca: ITAKA: Tecnologies Intel.ligents Avançades per a la Gestió del Coneixement Robòtica i Visió Intel.ligents
    Àrees temàtiques: Computer engineering Ingeniería informática Enginyeria informàtica
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1687-9384
    Identificador de l'autor: 0000-0002-1074-2441; 0000-0003-1066-9536; 0000-0003-3945-2314; 0000-0002-0562-4205
    Data d'alta del registre: 2016-05-23
    Volum de revista: 2016
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1155/2016/1370259
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2016
    Pàgina inicial: Article number 1370259
    Tipus de publicació: Article Artículo Article
  • Paraules clau:

    Mama -- Radiografia
    Imatges -- Processament
    Pixels
    mammography
    image processing
    Computer engineering
    Ingeniería informática
    Enginyeria informàtica
    1687-9384
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