MRI-based detection of multiple sclerosis using an optimized attention-based deep learning framework.

Journal: Neurological research
Published Date: Jul 5, 2025

Abstract

BACKGROUND: Multiple Sclerosis (MS) is a chronic neurological disorder affecting millions worldwide. Early detection is vital to prevent long-term disability. Magnetic Resonance Imaging (MRI) plays a crucial role in MS diagnosis, yet differentiating MS lesions from other brain anomalies remains a complex challenge.

Authors

  • Ramya Palaniappan
    Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science, Andhra Pradesh, India.
  • R Delshi Howsalya Devi
    Department of Artificial Intelligence and Data Science, Karpaga Vinayaga College of Engineering and Technology, Tamil Nadu, India.
  • M Mathankumar
    School of Electrical and Electronics Engineering, SRM Institute of Science and Technology Tiruchirappalli, India.
  • Karthika Ilangovan
    Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India.

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