Journal of
Cancer Research and Experimental Oncology

  • Abbreviation: J. Cancer Res. Exp. Oncol.
  • Language: English
  • ISSN: 2141-2243
  • DOI: 10.5897/JCREO
  • Start Year: 2009
  • Published Articles: 56

Full Length Research Paper

An improved implementation of brain tumor detection using segmentation based on soft computing

T. Logeswari
  • T. Logeswari
  • Mother Teresa Women’s College, Kodaikanal Tamil Nadu, India.
  • Google Scholar
M. Karnan
  • M. Karnan
  • College of Engineering, Anna University, Coimbatore, Tamil Nadu, India
  • Google Scholar

  •  Published: 31 March 2009


Image segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phase, the MRI brain image is acquired from patients database, In that film, artifact and noise are removed after that HSom is applied for image segmentation. The HSom is the extension of the conventional self organizing map used to classify the image row by row. In this lowest level of weight vector, a higher value of tumor pixels, computation speed is achieved by the HSom with vector quantization.


Key words: Image analysis, segmentation, HSOM, tumor detection.