Brain Stroke Detection Using Deep Learning

Brain Stroke Detection Using Deep Learning

Registration ID: IJNRD_216428

Published ID: IJNRD2404861

DOI: Click Here to Get

Pagala Parvez , Mr.V.Aravinda Rajan , Gonuguntla Chaitanya , Majjari Sai Siva , Kasarla Uday Kumar

CT scans, Brain Structure, Deep learning Convolutional neural network, Image classification,Restnet-50

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.

Published Paper   E-Certificate

"Brain Stroke Detection Using Deep Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i513-i519, April-2024, Available :https://ijnrd.org/papers/IJNRD2404861.pdf

Volume 9 Issue 4, April-2024

Pages : i513-i519

Paper Reg. ID: IJNRD_216428

Published Paper Id: IJNRD2404861

Downloads: 000121180

Research Area: Computer Science & Technology 

Country: Virudhunagar, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404861.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404861

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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