Brain Stroke Detection Using Deep Learning

Abstract

As one of the leading causes of death and permanent disability globally, brain stroke is one of the most serious type of medical emergencies. Delays in detecting a stroke can have disastrous results, including death or irreversible brain damage. Thus, identifying strokes in a timely and accurate manner is necessary to improving patient outcomes. Even though with the effectiveness, traditional diagnostic techniques frequently rely on the availability of skilled radiologists and upscale imaging facilities, which may not be available everywhere, particularly in healthcare settings with limited resources.