Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics.

Journal: BMC medical imaging
Published Date:

Abstract

PURPOSE: To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique.

Authors

  • J Satheesh Kumar
    Department of Electronics and Instrumentation Engineering, Dayananda Sagar College of Engineering, Bangalore, India.
  • V Vinoth Kumar
    Department of Computer Science and Engineering, MVJ College of Engineering, Bangalore, India.
  • T R Mahesh
    Department of Computer Science and Engineering, JAIN (Deemed-to-be-University), Bangaluru, Karnataka, India.
  • Mohammed S Alqahtani
    Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia.
  • P Prabhavathy
    School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
  • K Manikandan
    School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT), Vellore, India.
  • Suresh Guluwadi
    Adama Science and Technology University, 302120, Adama, Ethiopia. suresh.guluwadi@astu.edu.et.