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)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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

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

Ganesh Vilas Madhikar, S. S. Lokhande

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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How to Cite this Article?

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), https://www.ijsr.net/search_index_results_paperid.php?id=SUB141060, Volume 3 Issue 12, December 2014, 2362 - 2365

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