Malaria parasite detection in giemsa-stained blood cell images

@article{Malihi2013MalariaPD,
  title={Malaria parasite detection in giemsa-stained blood cell images},
  author={Leila Malihi and Karim Ansari-Asl and Abdolamir Behbahani},
  journal={2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)},
  year={2013},
  pages={360-365}
}
This research represents a method to detect malaria parasite in blood samples stained with giemsa. In order to increase the accuracy of detecting, at the first step, the red blood cell mask is extracted. It is due to the fact that most of malaria parasites exist in red blood cells. Then, stained elements of blood such as red blood cells, parasites and white blood cells are extracted. At the next step, red blood cell mask is located on the extracted stained elements to separate the possible… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES

World malaria report 2005

E. Korenromp, J. Miller, B. Nahlen, T. Wardlaw, M.Young
  • World Health Organization, Geneva , Tech. Rep, 2005.
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Probabilistic prediction of malaria using morphological and textural information

  • 2011 International Conference on Image Information Processing
  • 2011
VIEW 2 EXCERPTS
HIGHLY INFLUENTIAL

Contacos, The Primate Malarias.U.S

G. Coatney, W. Collins, M. Warren
  • Department of Health, Education and Welfare,
  • 1971
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Automatic Malaria Diagnosis through Microscopy Imaging,Diploma Thesis,Czech technical univercity, Prague2009

Vit springl
  • 2009
VIEW 2 EXCERPTS