• Title of article

    A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques

  • Author/Authors

    Helmi Nayyef, Rasha Department of Computer Science - College of Science - University of Baghdad, Baghdad, Iraq , Al-Tamimi, Mohammed S. H. Department of Computer Science - College of Science - University of Baghdad, Baghdad, Iraq

  • Pages
    20
  • From page
    3783
  • To page
    3802
  • Abstract
    It is crucial to remember that the brain is a part of the body responsible for a wide range of sophisticated bodily activities. Brain imaging can be used to diagnose a wide range of brain problems, including brain tumours, strokes, paralysis, and other neurological conditions. An imaging technique known as Magnetic Resonance Imaging (MRI) is a relatively new method that can classify and categorize the brain non-brain tissues through high-resolution imaging's. For automated brain picture segmentation and analysis, the existence of these non-brain tissues is seen as a critical roadblock to success. For quantitative morphometric examinations of MR brain images, skull-stripping is often required. Skull-stripping procedures are described in this work, as well as a summary of the most recent research on skull-stripping.
  • Keywords
    Magnetic Resonance Image , Brain , Skull-stripping , Segmentation , Convolutional Neural Network , Feature Extraction
  • Journal title
    International Journal of Nonlinear Analysis and Applications
  • Serial Year
    2022
  • Record number

    2714368