Deep learning-driven multi-class classification of brain strokes using computed tomography: A step towards enhanced diagnostic precision

A stroke, or cerebrovascular accident (CVA), is a significant cause of mortality and morbidity globally [1]. Strokes are categorized ischemic, caused by blood vessel blockage, or hemorrhagic, caused by a vessel rupture, both leading to interrupted blood flow to the brain tissues [2,3].

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