Brain Tumor Detection Using Image Processing Technique from MRI Images Based on OTSU Algorithm
Abstract
A brain Tumor is the formation of abnormal cells within the group of a layer of the brain. One out of twenty people with brain tumors loses their lives due to the tumor’s failed detection. Well-trained physicians can spot these tumors through a series of examinations and MRI scans. However, some artifacts in the scan mislead them and misread the scan result. The project’s main purpose is to find the brain tumors precisely despite the artifacts. The MRI (Magnetic Resonance Imaging) scan images of different patients at different stages are used to detect tumors. Another methodology propelled by edge division and morphological activity has been utilized to distinguish the suspicious region of tumors in exact. These techniques with different image processing methodologies include noise removal, filtering, segmentation, bounding box, tumor alone, tumor outline and detection. The brain tumor can be detected, and finding the tumor from an MRI scan is accomplished using MATLAB software
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References
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