A Comprehensive Method for Identification of Stroke using Deep Learning
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Abstract
Stroke has been among the top ten causes of death in this country over the last few years. Stroke is caused mainly by the blockage of insufficient blood supply across the brain. Using deep learning algorithms, within a short duration time can be able to identify the stroke for the patients. This paper discusses identifying the stroke from CT or MRI and EEG signals using deep learning methods. The main method for stroke diagnosis is CT-Scan. The use of CT-Scan is very limited and also fairly costly for developing countries. MRI provides accurate diagnosis of stroke, but it is both time-consuming and unsuitable for 24/7 monitoring. Another device is potential to diagnose stroke using an EEG signal. A literature survey found some papers that use various types of methods using deep learning algorithms to identify the stroke.
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