• DocumentCode
    3642524
  • Title

    The image recognition of brain-stem ultrasound images with using a neural network based on PCA

  • Author

    Jiří Blahuta;Tomáš Soukup;Petr Čermák

  • Author_Institution
    Slezská
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    137
  • Lastpage
    142
  • Abstract
    This paper describes how to recognize substantia nigra (SN) area in ultrasound brain-stem images. The main goal is the classification of ROI SN in midbrain. The classification of images is useful to detection Parkinson´s disease (PD), defects in SN. Work is based on image processing and is realized with the help of artificial neural networks and solve is realized with MATLAB, with Image Processing and Neural Network Toolboxes.
  • Keywords
    "Tin","Ultrasonic imaging","Artificial neural networks","Principal component analysis","Biological neural networks","Image processing","MATLAB"
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
  • Print_ISBN
    978-1-4244-9336-4
  • Type

    conf

  • DOI
    10.1109/MeMeA.2011.5966644
  • Filename
    5966644
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3642524