Detection and Classification of Brain Tumour Using Modified Region Growing and Neural Network in MRI Images
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 113 | Views: 349

M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 3 Issue 12, December 2014 | Popularity: 6.4 / 10


     

Detection and Classification of Brain Tumour Using Modified Region Growing and Neural Network in MRI Images

Ganesh Vilas Madhikar, S. S. Lokhande


Abstract: Medical image processing is the most demanding and promising field. The traditional method for detecting the tumor diseases in the human MRI brain images is done manually by physicians. In this paper a detection of brain tumour modified region growing technique is used. Modified region growing includes both orientation constraints and intensity constraints. For Detection of tumour the MATLAB software is used. This paper described proposed strategy to detect of brain tumour from patient's MRI scan images of brain.


Keywords: Image processing, Modified Region Growing, Tumour Detection


Edition: Volume 3 Issue 12, December 2014


Pages: 2362 - 2365



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Ganesh Vilas Madhikar, S. S. Lokhande, "Detection and Classification of Brain Tumour Using Modified Region Growing and Neural Network in MRI Images", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 2362-2365, https://www.ijsr.net/getabstract.php?paperid=SUB141060, DOI: https://www.doi.org/10.21275/SUB141060

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