Design And Development Of Machine Learning Based Classification And Detection System For Brain Hemorrhage Disease

Abstract

Brain hemorrhage is a critical medical condition characterized by bleeding within the brain newlinetissue. This bleeding can lead to severe neurological deficits, increasing the risk of permanent newlinedamage or death if not promptly addressed. The assessment of brain hemorrhage involves newlineevaluating the extent of bleeding and its impact on surrounding brain structures. Timely newlineevaluation is crucial to initiate appropriate medical interventions and minimize further newlineneurological damage. Morphological and volumetric assessments play a vital role in newlinediagnosing brain hemorrhage, including parameters such as hematoma size, mass effect on newlineadjacent structures, and volume of displaced brain tissue. Early diagnosis enables prompt newlinemedical management to mitigate complications and optimize patient outcomes. newline