International Journal of Research in Advanced Electronics Engineering
2024, Vol. 5, Issue 2, Part A
Brain tumor extraction-based watershed classifier
Author(s): Mohammed Abdulmahdi Mohammedali
Abstract: The process of detecting brain tumors is one of the important issues because it has an important role in improving treatment possibilities and reducing the death rate if treatment is done correctly and early. The danger of cancer lies in the uncontrolled growth of cells due to causes that are not accurately diagnosed, which may be environmental, or due to a specific nutritional system or wrong behavior. There are several ways to detect brain tumors, such as surgical intervention, but detection using Magnetic Resonance Imaging (MRI) is the best method because it is easy and quick to obtain results and is considered less dangerous. In this research, a relatively simple software method used to detect brain cancer was presented based on software that plays the role of diagnosis and accurately detects the location of the brain cancer tumor. The proposed method adopts several stages, starting with receiving the image and processing the noise, and ending with detecting the presence and location of the disease. The MATLAB program and multiple real images from medical centers in the holy city of Najaf were used. The system was tested based on Accuracy, Sensitivity, and Specificity and A comparison with previous works was presented.
Pages: 06-10 | Views: 40 | Downloads: 20
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How to cite this article:
Mohammed Abdulmahdi Mohammedali. Brain tumor extraction-based watershed classifier. Int J Res Adv Electron Eng 2024;5(2):06-10.
