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A proposal for automatic diagnosis of malaria

Author
Oliveira, A.; Cabral, G.; Lopez, D.; Firmo, C.; Zarzuela, F.; Albuquerque, J.
Type of activity
Presentation of work at congresses
Name of edition
22nd International Conference on World Wide Web
Date of publication
2013
Presentation's date
2013-05
Book of congress proceedings
Proceedings of the 22nd International Conference on World Wide Web
First page
681
Last page
682
URL
http://200.17.137.109:8081/xiscanoe/projeto/graduate-projects/automatic-diagnosis-methods-and-tools/automatic-diagnosis-for-malaria Open in new window
Abstract
This paper presents a methodology for automatic diagnosis of malaria using computer vision techniques combined with artificial intelligence. We had obtained an accuracy rate of 74% in the detection system.
Keywords
Artificial intelligence, Automatic diagnostic, Computer vision techniques, Detecting malaria, Haar, Malaria
Group of research
SC-SIMBIO - Complex systems. Computer simulation of materials and biological systems

Participants

  • Oliveira, Allisson D.  (author and speaker )
  • Cabral, Giordano  (author and speaker )
  • Lopez Codina, Daniel  (author and speaker )
  • Firmo, Caetano  (author and speaker )
  • Zarzuela Serrat, F  (author and speaker )
  • Albuquerque, Jones O.  (author and speaker )