Classification of leukemia patients with different clinical presentation of blood cells

Author:

Sajana T.,Maguluri Lakshmana Phaneendra,Syamala Maganti,Usha Kumari Ch.

Publisher

Elsevier BV

Subject

General Medicine

Reference39 articles.

1. Unsupervised blood microscopic image segmentation and leukemia detection using colour based clustering;Mohapatra;Int. J. Comput. Inform. Syst. Ind. Manage. Appl.,2012

2. Q. Liao and Y. Deng, “An accurate segmentation method for white blood cell images,” in Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 245–258, 2002.

3. F. Scotti, “Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images,” in 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, 2005,pp. 96–101.

4. L. Gupta, S. Jayavanth, and A. Ramaiah, “Identification of different types of lymphoblasts in acute lymphoblastic leukemia using relevance vector machines.” International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2009, 2008, pp. 6675–6678.

5. Fabio Scotti University of Milan, Department of Information Technologies, “Automatic Morphological Analysis for Acute Leukemia Identification in Peripheral Microscope Images” IEEE International Conference on Computational Intelligence for Measurement Systems and Giardini, July 2005.

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