Classification of Leukemia Image Using Genetic Based K-Nearest Neighbor (G-KNN)

Authors

  • M. Bennet Rajesh Assistant Professor, Division of Computer and Information Science Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • S. Sathiamoorthy Assistant Professor, Division of Computer and Information Science Annamalai University, Annamalai Nagar, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.2.1869

Keywords:

Leukemia, K-Nearest Neighbor, Genetic Algorithm, Pre-Processing, Noise Removal, Median Filter approach

Abstract

In medical diagnostic system, classification of blood cell is more vigorous to identify the disease. The diseases which are connected with blood is alienated after the categorization of blood cell. Leukemia, a blood cancer that begins in bone marrow. Hence, it must be cured at initial stage and leads to death if left untreated. This paper introduces median filter for noise removing and Genetic based kNN for classification of Leukemia image datasets and features are extracted using gray-level co-occurrence matrix. The outcome of proposed genetic algorithm based kNN is compared with multilayer perceptron and support vector machine. The experimental outcomes evident that proposed combination performs better than the existing approach.

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Published

05-08-2018

How to Cite

Bennet Rajesh, M., & Sathiamoorthy, S. (2018). Classification of Leukemia Image Using Genetic Based K-Nearest Neighbor (G-KNN). Asian Journal of Computer Science and Technology, 7(2), 113–117. https://doi.org/10.51983/ajcst-2018.7.2.1869