Tuesday 23rd of April 2024
 

Brain Tumor Segmentation: A Comparative Analysis


Muhammad Ali Qadar and Yan Zhaowen

Five different threshold segmentation based approaches have been reviewed and compared over here to extract the tumor from set of brain images. This research focuses on the analysis of image segmentation methods, a comparison of five semi-automated methods have been undertaken for evaluating their relative performance in the segmentation of tumor. Consequently, results are compared on the basis of quantitative and qualitative analysis of respective methods. The purpose of this study was to analytically identify the methods, most suitable for application for a particular genre of problems. The results show that of the region growing segmentation performed better than rest in most cases.

Keywords: Brain Tumor, MRI, Region Growing, Segmentation, Watershed, FCM

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ABOUT THE AUTHORS

Muhammad Ali Qadar
Muhammad Ali Qadar, born in 1987, Okara, Punjab, Pakistan. He earned BS in Computer Engineering in Sep 2011 from Bahaudding Zakariya, Multan Pakistan. He was serving ZDAAS LLC from Sep 2011 to Sep 2012. In Sep 2012 He was awarded Chinese Government Scholarship (CSC) and admitted to Beihang University in School of Electronic information Engineering. Based on his academic background and potential in research he awarded from Beijing Municipal Government at Beihang University, “Distinguished foreign student award 2013”. He worked in Laboratory of Radar and Signal Processing at School of Electronic Information Engg., Beihang University, Beijing, China for almost two years from Sep 2012 to Oct 2014. His research interests are Image Segmentation, Enhancement and reconstruction in area of biomedical image processing. Currently, He is PHD student at Chinese Academy of Science, Institute of computing Technology, Beijing, China PR.

Yan Zhaowen
Yan Zhaowen is a professor leading the lab of EMC (Electromagnetic Compatibility) at school of Electronic information Engineering Beihang University. He is Currently Supervising number of PHD students under different projects at Beihang University, Beijing. His Research interest are Microelectronics, Circuits & System, and Electromagnetic Compatibility etc.


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