Small lung nodules detection based on local variance analysis and probabilistic neural network.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 1, 2018

Abstract

BACKGROUND AND OBJECTIVE: In medical examinations doctors use various techniques in order to provide to the patients an accurate analysis of their actual state of health. One of the commonly used methodologies is the x-ray screening. This examination very often help to diagnose some diseases of chest organs. The most frequent cause of wrong diagnosis lie in the radiologist's difficulty in interpreting the presence of lungs carcinoma in chest X-ray. In such circumstances, an automated approach could be highly advantageous as it provides important help in medical diagnosis.

Authors

  • Marcin Wozniak
    Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.
  • Dawid Połap
    Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland. Electronic address: Dawid.Polap@polsl.pl.
  • Giacomo Capizzi
    Institute of Mathematics, Silesian University of Technology, Kaszubska 23, Gliwice 44-100, Poland; Department of Electric, Electronic and Informatics Engineering, University of Catania, Viale A. Doria 6, Catania 95125, Italy. Electronic address: gcapizzi@diees.unict.it.
  • Grazia Lo Sciuto
    Department of Electric, Electronic and Informatics Engineering, University of Catania, Viale A. Doria 6, Catania 95125, Italy. Electronic address: glosciuto@dii.unict.it.
  • Leon Kośmider
    School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Department of General and Analytical Chemistry Medical University of Silesia, Jagiellońska 4, Sosnowiec 41-200, Poland. Electronic address: leon.kosmider@sum.edu.pl.
  • Katarzyna Frankiewicz
    Specialist Hospital Sz. Starkiewicz in Da̧browa Górnicza, Zagłȩbiowskie Oncology Centre, Szpitalna 13, Da̧browa Górnicza 41-300, Poland. Electronic address: frankiewicz90@gmail.com.

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