Brain Tumour Detection

Michal Kvet^1, and Karol Matiaško¹

¹Department of Informatics, Faculty of Management Science and Informatics, University of Žilina, Žilina, Slovakia

Cite this paper:
Michal Kvet and Karol Matiaško. Brain Tumour Detection. Journal of Biomedical Engineering and Technology. 2013; 1(3):40-49. doi: 10.12691/jbet-1-3-3

Abstract

Cancers are the most serious problems of the medicine. Adequate treatment of early diagnosed patient gives the patient possibility of healing, to improve the quality of life and to return to normal life. Most of the tumors are characterized by the presence of one or several more or less specific markers. By processing the presence of multiple markers - although with a lower sensitivity and specificity - we get an overall picture of the body organs. The aim of this project is to monitor, evaluate and process results of magnetic resonance imaging. The results are provided to doctors in the form of graphs, 2D and 3D models and tables. This application also brings the possibility of processing error values of the measurements of markers.

Keywords:
brain tumour detection model XNA error processing markers magnetic resonance imaging (MRI)

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