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STROKE DISEASE PREDICTION USING X-RAY IMAGE
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Abstract: The talent is the most complex organ in the human body. Brain Stroke is a long-term disability that occurs global and is a leading reason of death. A stroke happens when the blood of the intelligence is reduce off and stops working. There are two major causes of cerebral stroke: ischemic stroke or hemorrhagic stroke. Early brain predictions divulge the best possible quantity for the first time. Brain stroke is largely a result of lifestyle choices, in particular in a variety of prerequisites such as excessive blood sugar, heart rate, obesity, diabetes and high blood pressure. This research find out about used more than a few in-depth learning algorithms (ML) such as CNN, Dense net and VGG-16. This research undertaking is designing a mannequin that makes use of one of the following techniques to be greater correct to predict the have an impact on of new inputs.
Keywords: CNN, Dense net, VGG-16, X-ray image.
Keywords: CNN, Dense net, VGG-16, X-ray image.
How to Cite:
[1] Rajashree. K, Prof. B P Soumya, βSTROKE DISEASE PREDICTION USING X-RAY IMAGE,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2022.10725
