NEUROIMAGE ANALYSIS FOR STROKE DETECTION: A MACHINE LEARNING FRAMEWORK

  • Unique Paper ID: 180664
  • PageNo: 1876-1888
  • Abstract:
  • This project presents an AI-powered framework for early stroke detection using MRI and CT neuroimages. Leveraging deep learning (DL) models like CNN, the system offers accurate stroke classification and integrates a user-friendly web interface for patients and radiologists. With role-based access, AI chatbot support, and modular design, the framework aims to enhance diagnostic efficiency and accessibility, especially in underserved regions.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{180664,
        author = {Diksha Singh and Vidya D. Argade and Diksha Gautam and Raman Vishwakarma},
        title = {NEUROIMAGE ANALYSIS FOR STROKE DETECTION: A MACHINE LEARNING FRAMEWORK},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1876-1888},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180664},
        abstract = {This project presents an AI-powered 
framework for early stroke detection using MRI and 
CT neuroimages. Leveraging deep learning (DL) 
models like CNN, the system offers accurate stroke 
classification and integrates a user-friendly web 
interface for patients and radiologists. With role-based 
access, AI chatbot support, and modular design, the 
framework aims to enhance diagnostic efficiency and 
accessibility, especially in underserved regions.},
        keywords = {Stroke Detection, Medical Imaging, MRI,  and Deep Learning},
        month = {June},
        }

Cite This Article

Singh, D., & Argade, V. D., & Gautam, D., & Vishwakarma, R. (2025). NEUROIMAGE ANALYSIS FOR STROKE DETECTION: A MACHINE LEARNING FRAMEWORK. International Journal of Innovative Research in Technology (IJIRT), 12(1), 1876–1888.

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