Enhancing Stroke Diagnosis in the Brain Using a Weighted Deep Learning Approach

Stroke remains the second - leading cause of death globally and the primary driver of long - term neurological disabilities, significantly impacting quality of life (Yüksel et al., 2023). It ranks among the top three contributors to disability - adjusted life ye ars (DALYs) lost worldwide, particularly within musculoskeletal and neurological disorders. Cerebrovascular diseases (CVDs), which manifest as strokes, are a major source of morbidity and mortality, affecting approximately 15 million individuals annually -- 5 million of whom face chronic paralysis (Organization, 2015; Polat et al., 2024). These conditions stem from disruptions in cerebral blood flow, leading to pathologies such as ischemic strokes, hemorrhages, and traumatic brain injuries due to vascular dama ge (Goni et al., 2022). Strokes are categorized into two distinct types: Ischemic Stroke: Caused by thrombotic or embolic blockages in cerebral arteries, resulting in hypoxic necrosis of brain tissue (Zhu et al., 2024).