| Issue |
MATEC Web of Conferences
Volume 150, 2018
Malaysia Technical Universities Conference on Engineering and Technology (MUCET 2017)
|
|
|---|---|---|
| Article Number | 06025 | |
| Number of page(s) | 6 | |
| Section | Information & Communication Technology (ICT), Science (SCI) & Mathematics (SM) | |
| DOI | https://doi.org/10.1051/matecconf/201815006025 | |
| Published online | 23 February 2018 | |
Brain Tumour Detection using Fine-Tuning Mechanism for Magnetic Resonance Imaging
1
University of Baghdad, College of Science, Department of Computer Science, Baghdad, Iraq
2
Universiti Malaysia Perlis, School of Computer and Communication Engineering, Perlis, Malaysia
3
Universiti Teknologi Mara, Faculty of Computer and Mathematic Sciences, Melaka, Malaysia
4
Universiti Teknologi Malaysia, Faculty of Computing, Johor, Malaysia
5
Universiti Malaysia Terengganu, School of Informatics and Applied Mathematics, Terengganu, Malaysia
* Corresponding author: hafizahghazali@unimap.edu.my
In this paper, new brain tumour detection method is discovered whereby the normal slices are disassembled from the abnormal ones. Three main phases are deployed including the extraction of the cerebral tissue, the detection of abnormal block and the mechanism of fine-tuning and finally the detection of abnormal slice according to the detected abnormal blocks. Through experimental tests, progress made by the suggested means is assessed and verified. As a result, in terms of qualitative assessment, it is found that the performance of proposed method is satisfactory and may contribute to the development of reliable MRI brain tumour diagnosis and treatments.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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