Duple-MONDNet: duple deep learning-based mobile net for motor neuron disease identification.

Journal: Turkish journal of medical sciences
PMID:

Abstract

BACKGROUND/AIM: Motor neuron disease (MND) is a devastating neuron ailment that affects the motor neurons that regulate muscular voluntary actions. It is a rare disorder that gradually destroys aspects of neurological function. In general, MND arises as a result of a combination of natural, behavioral, and genetic influences. However, early detection of MND is a challenging task and manual identification is time-consuming. To overcome this, a novel deep learning-based duple feature extraction framework is proposed for the early detection of MND.

Authors

  • Sony Helen
    Department of Computer Science Engineering, Anna University, Chennai, Tamil Nadu, India.
  • Joseph Jawhar
    Department of Electronics and Communication Engineering, Arunachala College of Engineering for Women, Nagercoil, Kanyakumari, India.