Analysis of Machine Learning Algorithms for Diagnosis of Diffuse Lung Diseases.

Journal: Methods of information in medicine
Published Date: Mar 15, 2019

Abstract

UNLABELLED: Computational Intelligence Re-meets Medical Image Processing A Comparison of Some Nature-Inspired Optimization Metaheuristics Applied in Biomedical Image Registration BACKGROUND:  Diffuse lung diseases (DLDs) are a diverse group of pulmonary disorders, characterized by inflammation of lung tissue, which may lead to permanent loss of the ability to breathe and death. Distinguishing among these diseases is challenging to physicians due their wide variety and unknown causes. Computer-aided diagnosis (CAD) is a useful approach to improve diagnostic accuracy, by combining information provided by experts with Machine Learning (ML) methods.

Authors

  • Isadora Cardoso
    Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil.
  • Eliana Almeida
    Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil.
  • Hector Allende-Cid
    Escuela de Ingeniería Informatica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
  • Alejandro C Frery
    Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil.
  • Rangaraj M Rangayyan
    Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada.
  • Paulo M Azevedo-Marques
    Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
  • Heitor S Ramos
    Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil.

Keywords

External Resources

Popular Topics
Recent Journals