A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning.

Journal: Current medical imaging
Published Date: Jan 1, 2021

Abstract

BACKGROUND: The need for accurate and timely detection of Intracranial hemorrhage (ICH) is of utmost importance to avoid untoward incidents that may even lead to death. Hence, this presented work leverages the ability of a pretrained deep convolutional neural network (CNN) for the detection of ICH in computed tomography (CT) brain images.

Authors

  • Praveen Kumaravel
    Department of Electronics and Communication Engineering, College of Engineering, Guindy, Anna University, Sardar Patel Road, Chennai-600 025, India.
  • Sasikala Mohan
    Department of Electronics and Communication Engineering, College of Engineering, Guindy, Anna University, Sardar Patel Road, Chennai-600 025, India.
  • Janani Arivudaiyanambi
    Department of Electronics and Communication Engineering, College of Engineering, Guindy, Anna University, Sardar Patel Road, Chennai-600 025, India.
  • Nijisha Shajil
    Department of Electronics and Communication Engineering, College of Engineering, Guindy, Anna University, Sardar Patel Road, Chennai-600 025, India.
  • Hari Nishanthi Venkatakrishnan
    Department of Electronics and Communication Engineering, College of Engineering, Guindy, Anna University, Sardar Patel Road, Chennai-600 025, India.

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