Abstract
The brain is the main organ in the human body, answerable for controlling and directing all basic life capacities for the body, and a tumor is a mass of tissue framed by the aggregation of dead cells. MRI imaging techniques is used for brain tumor detection. This paper describes the detection of brain tumor using three important stages: preprocessing, segmentation, and morphological operation. Conversion of RGB image to grayscale image and anisotropic filtering used to remove noise and maintaining edges is applied during preprocessing stage. Thresholding is performed at segmentation stage, and closing operation is done at morphological operation stage. The accuracy of this model was found to be 91.33%. This paper include detection of brain tumors on MRI images by making graphical user interface.
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Ahmad, F., Ahmad, T. (2022). An Efficient Feature Extraction Technique for Brain Tumor Detection Using GUI. In: Gupta, D., Polkowski, Z., Khanna, A., Bhattacharyya, S., Castillo, O. (eds) Proceedings of Data Analytics and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 90. Springer, Singapore. https://doi.org/10.1007/978-981-16-6289-8_36
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DOI: https://doi.org/10.1007/978-981-16-6289-8_36
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