[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2582-8746 Since 2020
  1. Home
  2. Archives
  3. 2025
  4. Vol. 6 Issue 2
  5. Article
Original Article

Brain Hemorrhage Detection Using Convolutional Neural Networks (CNNs)

  • Paper ID 925
  • Volume 6, Issue 2
  • Pages 116-118
  • Published Online: March-April 2025
  • 1 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • R. Nivethitha1
  • A. Annalakshmi2
  • D. Beninal3
  • G. Gowri Sakthi4

1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. 234Final Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.

Article Information

Published Online
March-April 2025
Pages
116-118
Article Type
Original Article
Check for updates
check update

Abstract

View PDF

To detect the brain hemorrhage detection using CT (Computered Tomography) scan images. To identify the brain hemorrhage, the deep learning models like Convolutional Neural Network (CNN) proposed for the classification.To the brain hemorrhage is the internal bleeding in the sourrounding tissues of the brain and the blood cells got damaged by this bleeding. the major causes of death and severe disability.To the classification of brain hemorrhage detection using CT scan images based on the convolutional neural network (CNN)To the proposed approach and experimental results are compared by carried out different experiments using hybrid deep learning models.

APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2582-8746
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper