Early Ischemic Stroke Detection Using Deep Learning: A Systematic Literature Review

Stroke is a medical condition in which poor blood flow to the brain causes cell death and causes the brain to stop functioning properly. There are two types of strokes, which is ischemic and hemorrhagic. One of the techniques for early stroke detection is Computerized Tomography (CT) scan. The purpose of this paper is to gather information or answer related to this paper’s research question. Our research will be more focused on finding the most effective technique with technologies such as deep learning and machine learning to detect early ischemic stroke. Reviewing and gathering a conclusion from these papers are the methods which will be used in this paper. To conduct a literature review, we will use Systematic Literature Review method to filter research papers that are related to our topic and are matched with the keywords. This research came to a conclusion of the best datasets to use for deep learning in predicting ischemic stroke are MRI images and CT scan images, and the method with the best accuracy is Convolutional Neural Network (CNN).