Author, as appears in the article.: Abdel-Nasser, Mohamed; Melendez, Jaime; Moreno, Antonio; Puig, Domenec
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Abdelnasser Mohamed Mahmoud, Mohamed / Moreno Ribas, Antonio / Puig Valls, Domènec Savi
Keywords: X ray screens Texture analysis method Support vector machines Spatial arrangements Sequential forward selection Pixels Nonlinear support vector machines Mass classifications Mammography Image segmentation Image processing Feature normalization Classification performance Classification (of information) Breast density estimation
Abstract: 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. © 2016 Mohamed Abdel-Nasser et al.
Thematic Areas: Optics Electronic, optical and magnetic materials Atomic and molecular physics, and optics
Author's mail: mohamed.abdelnasser@urv.cat antonio.moreno@urv.cat domenec.puig@urv.cat
Author identifier: 0000-0002-1074-2441 0000-0003-3945-2314 0000-0002-0562-4205
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.hindawi.com/journals/ijo/2016/1370259/
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: International Journal Of Optics. 2016 1370259-
APA: Abdel-Nasser, Mohamed; Melendez, Jaime; Moreno, Antonio; Puig, Domenec (2016). The impact of pixel resolution, integration scale, preprocessing, and feature normalization on texture analysis for mass classification in mammograms. International Journal Of Optics, 2016(), 1370259-. DOI: 10.1155/2016/1370259
Article's DOI: 10.1155/2016/1370259
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
Publication Type: Journal Publications