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Journal of Engineering and Applied Sciences
Year: 2019 | Volume: 14 | Issue: 7 | Page No.: 2333-2339
DOI: 10.36478/jeasci.2019.2333.2339  
Tumor Detection and Extraction in the Human Brain
Farah Q. Al-khalidi , Maha A. Bayati and Shaimaa H. Alkinany
Abstract: Images are useful means to convey different kinds of information, making different problems easy to understand. Amongst these are medical images where image-processing techniques are extensively used to identify defected areas in a human body. One such defect is brain tumor a benign or malignant growth of tissues in the brain that disrupt its proper function. Regardless of its type, a brain tumor may produce a symptom that varies according to where in the brain the tumor is detected. Different image processing techniques were developed, most of which use Magnetic Resonance Imaging (MRI) to assist automatic detection of brain tumor by computers. This research presents an approach to detect brain tumor based on image processing algorithms including image preprocessing, enhancement, segmentation, feature extraction and detection of the brain tumor. Further research is in progress to enhance these techniques, hence, to provide for accurate classification yet diagnoses of a brain tumor.
How to cite this article:
Farah Q. Al-khalidi, Maha A. Bayati and Shaimaa H. Alkinany, 2019. Tumor Detection and Extraction in the Human Brain. Journal of Engineering and Applied Sciences, 14: 2333-2339.
DOI: 10.36478/jeasci.2019.2333.2339