An intelligent support system for automatic detection of cerebral vascular accidents from brain CT images.

Journal: Computer methods and programs in biomedicine
Published Date: May 20, 2017

Abstract

OBJECTIVE: This paper presents a Radial Basis Functions Neural Network (RBFNN) based detection system, for automatic identification of Cerebral Vascular Accidents (CVA) through analysis of Computed Tomographic (CT) images.

Authors

  • Elmira Hajimani
    Faculty of Science and Technology, University of Algarve, Faro, Portugal. Electronic address: a48669@ualg.pt.
  • M G Ruano
    Faculty of Science and Technology, University of Algarve, Faro, Portugal and CISUC, University of Coimbra, Portugal. Electronic address: mruano@ualg.pt.
  • A E Ruano
    Faculty of Science and Technology, University of Algarve, Faro, Portugal and IDMEC, Instituto Superior Técnico, University of Lisbon, Portugal. Electronic address: aruano@ualg.pt.

Keywords

External Resources

Popular Topics
Recent Journals