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Brain tumors, whether benign or malignant, are a major issue in neurology because they can cause significant neurological impairment and potentially catastrophic outcomes.
As they grow, this tumor can increase intracranial pressure, which can lead to brain injury, neurological disabilities, and even death.
Early detection and precise classification of brain tumors are essential for effective treatment planning and improved patient outcomes.
For non-invasive tumor diagnosis, magnetic resonance imaging (MRI), which provides fine-grained images of brain anatomy and makes anomaly detection easier, is crucial.
Because manual MRI scan interpretation is time-consuming and prone to human error, automated solutions that assist radiologists in making accurate diagnoses must be developed
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