Tumor detection by using Zernike moments on segmented magnetic resonance brain images


Iscan Z., DOKUR Z., OELMEZ T.

EXPERT SYSTEMS WITH APPLICATIONS, vol.37, no.3, pp.2540-2549, 2010 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 3
  • Publication Date: 2010
  • Doi Number: 10.1016/j.eswa.2009.08.003
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.2540-2549
  • Keywords: Brain tumor detection, MR image segmentation, Incremental neural networks, Continuous wavelet transform, Zernike moments, Symmetry axis determination, FUZZY-CONNECTEDNESS, WAVELET TRANSFORM, OBJECT DEFINITION, ALGORITHMS
  • Istanbul Technical University Affiliated: Yes

Abstract

In this study, a novel method is proposed for the detection of tumor in magnetic resonance (MR) brain images. The performance of the novel method is investigated on one phantom and 20 original MR brain images with tumor and 50 normal (healthy) MR brain images.