BRAIN TUMOR IDENTIFICATION AND ANALYSIS USING FEED FORWARD NEURAL NETWORK METHOD IN MAGNETIC RESONANCE BRAIN IMAGES

  • Abd El Kader Isselmou School of Electrical Engineering, Department of Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, china
  • Shuai Zhang Associate Professor, School of Electrical Engineering, Department of Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, china
  • Guizhi Xu Dean, School of Electrical Engineering, Department of Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, china

Abstract

Considered the automatic classification of medical images critically and high-resolution analysis and high accurate in the diagnosis of disease and medical interpretation, we proposed in this paper feed forward neural network (supervised method) using segmentation in magnetic resonance brain images in order to identify the region of the tumor and analysis the performance of the method. The advantages of this method give excellent performance and excellent results in terms of accuracy detection, Sensitivity, mean square error (MSE), error histogram, dice overlap index (DOI), specificity, this is confirmed trough the results obtained in this paper.

Published
Jun 30, 2017
How to Cite
ISSELMOU, Abd El Kader; ZHANG, Shuai; XU, Guizhi. BRAIN TUMOR IDENTIFICATION AND ANALYSIS USING FEED FORWARD NEURAL NETWORK METHOD IN MAGNETIC RESONANCE BRAIN IMAGES. International Journal of Drug Research and Technology, [S.l.], v. 7, n. 3, p. 11, june 2017. ISSN 2277-1506. Available at: <http://ijdrt.com/index.php/drug-research-and-technology/article/view/124>. Date accessed: 26 july 2017.
Section
Research Article