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Detection of Brain Tumor in Radiographic Images using Neural Network

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IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 9
Year of Publication: 2012
Authors:
Swapnaja Chidrawar
Sujata Bhaskarwar
Sadhana Chidrawar

Swapnaja Chidrawar, Sujata Bhaskarwar and Sadhana Chidrawar. Article: Detection of Brain Tumor in Radiographic Images using Neural Network. IJCA Proceedings on National Conference on Recent Trends in Computing NCRTC(9):4-5, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Swapnaja Chidrawar and Sujata Bhaskarwar and Sadhana Chidrawar},
	title = {Article: Detection of Brain Tumor in Radiographic Images using Neural Network},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computing},
	year = {2012},
	volume = {NCRTC},
	number = {9},
	pages = {4-5},
	month = {May},
	note = {Full text available}
}

Abstract

The brain is a highly specialized organ. It serves as the control center for functions of the body and allows us to cope with our environment. Based on biological theory of human brain, artificial neural network are models that attempt to parallel and simulate the functionality and decision making processes of human brain. In general neural network is referred to as mathematical models of theorized mind and brain activity. Neural network provide significant benefits in medical research. They are actively being used for detecting characteristics in medical emergency and controlling medical devices. In this paper we review application of ANN to brain images to identify tumors in adult. Here we represent different criterion to improve the result. We also compare the performance of our-algorithm applying to various training algorithm.

References

  • Prof. S. K. Shah, Fellow V. Gandhi, Non members, "Image classification based on textural features using ANN", Jan 2004.
  • Bishop,C. M. ;1995, Neural network for pattern recognition, Oxford.
  • Hertz. J. ; Krogh A. ; and Palmer, R. ; Introduction to the theory of Neural comutation, Addison-Wesley.
  • Robert D. Dony, Student IEEE Simon Huglain,Fellow, IEEE, Neural network approaches to image compression.
  • nnet. pdp from math works. com matlab manual page no. 17.
  • Performance Evaluation of Radiologist with ANN ,American Journal of Neuroradiology