AI Techniques to Identify Nerve Cell Alterations in Digital Images.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Artificial intelligence (AI), utilising computing power, has managed to influence the health sector with many applications based on algorithms, tools, and automated processes. In this work, neuronbiological images acquired by an electronic microscope are assessed under appropriate image processing to identify areas of interest. The algorithmic steps identified the alterations of nerve cells that appeared as areas in the red channel of each digital image.

Authors

  • Ilias Argyros
    Health Informatics Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
  • Emmanouil Zoulias
    Health Informatics Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
  • Joseph Liaskos
    Health Informatics Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
  • Antonis Stamatakis
    Biology-Biochemistry Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
  • John Mantas
    Health Informatics Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Greece.