A Robust Feature Extraction and Selection Method for the Recognition of Lymphocytes versus Acute Lymphoblastic Leukemia

@article{Madhloom2012ARF,
  title={A Robust Feature Extraction and Selection Method for the Recognition of Lymphocytes versus Acute Lymphoblastic Leukemia},
  author={Hayan T. Madhloom and S. O. Akpan Kareem and Hany Ariffin},
  journal={2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)},
  year={2012},
  pages={330-335}
}
An essential part of the diagnosis and treatment of leukemia is the visual examination of the patient's peripheral blood smear under the microscope. Morphological changes in the white blood cells are commonly used to determine the nature of the malignant cells, namely blasts. Manual techniques are labor intensive slow, subjected to error and costly. A computerized system can be used as an aiding tool for the specialist in order to improve and accelerate the morphological analysis process. This… CONTINUE READING
Highly Cited
This paper has 198 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 21 extracted citations

Automated detection and classification techniques of Acute leukemia using image processing: A review

2016 2nd International Conference on Science and Technology-Computer (ICST) • 2016
View 6 Excerpts
Highly Influenced

Detection of Acute Lymphoblastic Leukemia using watershed transformation technique

2015 International Conference on Signal Processing, Computing and Control (ISPCC) • 2015
View 3 Excerpts
Highly Influenced

Robust technique for the detection of Acute Lymphoblastic Leukemia

2015 IEEE Power, Communication and Information Technology Conference (PCITC) • 2015
View 3 Excerpts
Highly Influenced

198 Citations

050100'14'15'16'17'18'19
Citations per Year
Semantic Scholar estimates that this publication has 198 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 25 references

Morphological classification of blood leucocytes by microscope images

2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA. • 2004
View 4 Excerpts
Highly Influenced

An automated white blood cell nucleus localization and segmentation using image arithmetic and automatic threshold

H. Madhloom, SA. Kareem, +3 authors BB. Zaidan
Journal of Applied Sciences, • 2010
View 1 Excerpt

J..Guichard “Segmentation of bone marrow cell images for morphological classification of acute leukemia

C. Reta, L. Altamirano, J. Gonzalez, R. Diaz
in Twenty-Third International Florida Artificial Intelligence Research Society Conference May, • 2010
View 1 Excerpt

Siwek “Application of Support Vector Machine and Genetic Algorithm for Improved Blood Cell Recognition

S. Osowski, S. Robert, K. T. Markiewicz
IEEE Transactions on Instrumentation and Measurement 2009, vol. 58, • 2009
View 1 Excerpt

Koutroumbas, “Pattern recognition

S. Theodoridis, K A.Pikrakis
2008
View 1 Excerpt

and M

LAG Ries, D Melbert
Krapcho, “SEER Cancer Statistics Review, 1975–2005”. Bethesda: National Cancer Institute • 2008
View 1 Excerpt

Similar Papers

Loading similar papers…