Abstract
Abstract: Among the most tedious and time-consuming tasks in medical image processing is brain tumor identification and segmentation. Magnetic resonance imaging, or MRI, is a medical procedure that radiologists primarily utilize to examine the human body without having to do surgery. The substantial information that MRI provides on human soft tissue aids in the diagnosis of brain tumors. It is crucial to accurately segment MRI images in order to detect a brain tumour utilizing computeraided clinical techniques. Brain tumor identification facilitates determining the precise size and location of the tumor. Initially, the scanned image's quality is upgraded, and tumors are located in the image using morphological operators
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