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An automatic system for computing malaria parasite density in thin blood films

Author
Dantas, A.; Carvalho, B.; Prats, C.; Espasa, M.; Gómez, J.; Lopez, D.; Albuquerque, J.
Type of activity
Book chapter
Book
Progress in pattern recognition, image analysis, computer vision, and applications
First page
186
Last page
193
Publisher
Springer
Date of publication
2018-01
ISBN
978-3-319-75193-1 Open in new window
DOI
https://doi.org/10.1007/978-3-319-75193-1_23 Open in new window
Repository
http://hdl.handle.net/2117/116271 Open in new window
URL
https://link.springer.com/chapter/10.1007/978-3-319-75193-1_23 Open in new window
Abstract
Malaria is a major worldwide health problem, specially in countries with tropical climates and remote areas. In this paper, we present an automatic system for estimating malaria parasite density in thin blood smears. The proposed approach is based on simple image processing methods that can be implemented efficiently even on low budget devices. The method has been tested on images acquired under different illumination and acquisition setups and has produced encouraging results, achieving a sensi...
Citation
Dantas, A., Carvalho, B., Prats, C., Espasa, M., Gómez, J., Lopez, D., Albuquerque, J. An automatic system for computing malaria parasite density in thin blood films. A: "Progress in pattern recognition, image analysis, computer vision, and applications". Berlín: Springer, 2018, p. 186-193.
Keywords
Malaria · Parasite density · Medical image processing
Group of research
BIOCOM-SC - Computational Biology and Complex Systems Group

Participants

  • Dantas Oliveira, Allisson  (author)
  • Carvalho, Bruno  (author)
  • Prats Soler, Clara  (author)
  • Espasa, Mateu  (author)
  • Gómez Prat, Jordi  (author)
  • Lopez Codina, Daniel  (author)
  • Albuquerque, Jones O.  (author)