Subject Review: Brain Tumor Classification using Neural Network

Authors

  • Kawther Thabt Saleh College of Education, Mustansiriyah University Baghdad – Iraq
  • Iman Hussein AL-Qinani College of Education, Mustansiriyah University Baghdad – Iraq
  • Nisreen Abd Alhadi Jabr College of Physical Education and Sports Science Mustansiriyah University, Baghdad – Iraq

DOI:

https://doi.org/10.31695/IJASRE.2021.34082

Keywords:

Brain Tumor, Feature Extraction, Artificial Neural Network, Magnetic Resonance Imaging, Computer Aided Diagnosis system

Abstract

The basic goal of this research study is to show a critical review of existing paper on human brain tumor classification systems above the last 10 years. Attention and study accomplishments in brain tumor classification have arisen essentially above the previous few years, particularly with the need for an assistant to the doctor to diagnose such critical non-faulty diseases has led to the building of this type of system, for instance neural networks is important compounds. Survey and evaluation become necessary, as the number of suggested techniques increases.

This study present the survey focus on various researchers applied their systems using neural network, and moreover a contrast between these systems is discussed.

References

E.S.A. El-Dahshan, et al., Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm, Expert Systems with Applications 41 (2014), 5526-5545.

N. Ganesan, Application of Neural Networks in Diagnosing Cancer Disease Using Demographic Data, vol. 1(26), pp. 76–85, (2010).

Georgiadis, P., Kostopoulos, S., Cavouras, D., Glotsos, D., Kalatzis, I., Sifaki, K., Malamas, M., Solomou, E., and Nikiforidis, G. (2011). Quantitative combination of volumetric MR imaging and MR spectroscopy data for the discrimination of meningiomas from metastatic brain tumors by means of pattern recognition. Magnetic resonance imaging, 29(4):525–35.

D.A. Dahab, S.S.A. Ghoniemy, G.M. Selim, Automated Brain Tumor Detection and Identification Using Image Processing and Probabilistic Neural Network Techniques. International Journal of Image Processing and Visual Communication ISSN2319-1724 Volume 1 , Issue 2 , October 2012.

Sumitra, N., Rakesh kumar saxena, “Brain tumour classification using Back Propagation Neural Network”, International journal of Image, Graphics and Signal Processing, 2013, 2, PP.45-50.

Swapnali Sawakare and Dimple Chaudhari, “Classification of Brain Tumor Using Discrete Wavelet Transform, Principal Component Analysis and Probabilistic Neural Network,” International journal for research and emerging science, vol-3 November-2014

Pan, Y., Huang, W., Lin, Z., Zhu, W., Zhou, J., Wong, J., Ding, Z., 2015. Brain tumor grading based on neural networks and convolutional neural networks. In: Conf Proc IEEE Eng Med Biol Soc. pp. 699–702

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Published

2021-09-15

How to Cite

Kawther Thabt Saleh, Iman Hussein AL-Qinani, & Nisreen Abd Alhadi Jabr. (2021). Subject Review: Brain Tumor Classification using Neural Network. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, 7(9), 95–99. https://doi.org/10.31695/IJASRE.2021.34082