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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Impact Factor : 8.76

Issue per Year : 12

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Paper Title: Brain Stroke Detection Using Deep Learning
Authors Name: Pagala Parvez , Mr.V.Aravinda Rajan , Gonuguntla Chaitanya , Majjari Sai Siva , Kasarla Uday Kumar
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IJNRD_216428
Published Paper Id: IJNRD2404861
Published In: Volume 9 Issue 4, April-2024
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Abstract: Stroke is a serious medical disorder that needs to be diagnosed and treated quickly in order to reduce long- term effects and enhance patient outcomes. This study uses ResNet-50, a potent convolutional neural network architecture, to provide a unique method for the early diagnosis of brain strokes. By utilizing ResNet-50's deep learning capabilities, the suggested system is able to automatically evaluate medical imaging data, including CT and MRI scans, in order to spot possible stroke symptoms. The well- known ResNet-50 algorithm, which can handle complicated visual data, is customized to the unique properties of brain imaging in order to discriminate between areas of the brain that are healthy and those that have been harmed by a stroke. The medical photos are pre-processed as part of the protocol to improve pertinent characteristics, and finally using a carefully selected dataset of both healthy and stroke-affected brain pictures to train the ResNet- 50 model. The pre-trained ResNet-50 model is refined through the use of transfer learning approaches, improving its capacity to recognize and identify stroke patterns in a variety of patient data.
Keywords: CT scans, Brain Structure, Deep learning Convolutional neural network, Image classification,Restnet-50
Cite Article: "Brain Stroke Detection Using Deep Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i513-i519, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404861.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2404861
Registration ID: 216428
Published In: Volume 9 Issue 4, April-2024
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Page No: i513-i519
Country: Virudhunagar, Tamilnadu, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404861
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404861
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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