Brain Tumor Detection using MR Images through Pixel based Methodology

Article ID

CSTGVKS03I

Brain Tumor Detection using MR Images through Pixel based Methodology

Md. Abdullah Al Mahmud
Md. Abdullah Al Mahmud University of Asia Pacific
A.H.M. Zadidul Karim
A.H.M. Zadidul Karim
Md. Mashiur Rahman
Md. Mashiur Rahman
DOI

Abstract

Brain tumor, a notorious disease, has affected and devastated many lives. This disease has been the centre of attention of thousands of researchers for many decades, around the world. Researchers have combined their knowledge and efforts from many areas ranging from medical to mathematical sciences, to better understand the disease and to find more effective treatments. The key objective of this paper is to form a methodology to detect & extraction of brain tumor from a patient’s MRI. This method incorporates with some noise removal functions, segmentation and morphological operations which are the basic concepts of image processing. Proposed methodology will detect tumor and finally the fractional area of tumor will be calculated. All of this processing will be done by MATLAB software.

Brain Tumor Detection using MR Images through Pixel based Methodology

Brain tumor, a notorious disease, has affected and devastated many lives. This disease has been the centre of attention of thousands of researchers for many decades, around the world. Researchers have combined their knowledge and efforts from many areas ranging from medical to mathematical sciences, to better understand the disease and to find more effective treatments. The key objective of this paper is to form a methodology to detect & extraction of brain tumor from a patient’s MRI. This method incorporates with some noise removal functions, segmentation and morphological operations which are the basic concepts of image processing. Proposed methodology will detect tumor and finally the fractional area of tumor will be calculated. All of this processing will be done by MATLAB software.

Md. Abdullah Al Mahmud
Md. Abdullah Al Mahmud University of Asia Pacific
A.H.M. Zadidul Karim
A.H.M. Zadidul Karim
Md. Mashiur Rahman
Md. Mashiur Rahman

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Md. Abdullah Al Mahmud. 2015. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F4): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 15 Issue F4
Pg. 13- 16
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I.3.3 I.4.0
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Brain Tumor Detection using MR Images through Pixel based Methodology

Md. Abdullah Al Mahmud
Md. Abdullah Al Mahmud University of Asia Pacific
A.H.M. Zadidul Karim
A.H.M. Zadidul Karim
Md. Mashiur Rahman
Md. Mashiur Rahman

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