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BioMed Research International
Volume 2015, Article ID 672520, 9 pages
Research Article

Enhanced Classification of Interstitial Lung Disease Patterns in HRCT Images Using Differential Lacunarity

1INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
2Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, Portugal
3School of Science and Technology, University of Trás-os-Montes e Alto Douro, Apartado 1013, 5001-801 Vila Real, Portugal
4Military Academy Research Center, Avenida Conde Castro Guimarães, 2720-113 Amadora, Portugal

Received 11 September 2015; Accepted 18 November 2015

Academic Editor: Yukihisa Takayama

Copyright © 2015 Verónica Vasconcelos et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Thessa T. J. P. Kockelkorn, Rui Ramos, José Ramos, Pim A. de Jong, Cornelia M. Schaefer-Prokop, Rianne Wittenberg, Audrey M. Tiehuis, Jan C. Grutters, Max A. Viergever, and Bram van Ginneken, “Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures,” Frontiers in ICT, vol. 3, 2016. View at Publisher · View at Google Scholar
  • V. F. Kravchenko, V. I. Ponomaryov, V. I. Pustovoit, and E. Rendon-Gonzalez, “Classification of Lung Nodules Using CT Images Based on Texture Features and Fractal Dimension Transformation,” Doklady Mathematics, vol. 99, no. 2, pp. 235–239, 2019. View at Publisher · View at Google Scholar