• DocumentCode
    162320
  • Title

    Skin diseases diagnosis using artificial neural networks

  • Author

    Filimon, Delia-Maria ; Albu, A.

  • Author_Institution
    Autom. & Appl. Inf. Dept., Politeh. Univ. Timisoara, Timişoara, Romania
  • fYear
    2014
  • fDate
    15-17 May 2014
  • Firstpage
    189
  • Lastpage
    194
  • Abstract
    Medical informatics is an interdisciplinary area (combining more academic fields), which benefits of technology´s progress that reflects on any domain. This paper is an example about how artificial neural networks prove their capacities in medical field. They are successfully used in decision-making, having a strong impact on physicians, who can benefit of a faster diagnosis process for some diseases with multiple and confusing symptoms.
  • Keywords
    decision making; diseases; medical diagnostic computing; neural nets; skin; artificial neural networks; decision-making; medical informatics; skin disease diagnosis; Artificial neural networks; Cancer; Diseases; Medical diagnostic imaging; Neurons; Skin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2014.6840059
  • Filename
    6840059