Abstract Paper

Journal of Computing and Intelligent Systems - JCIS

Title	: AN OVERVIEW: CLASSIFICATION TECHNIQUES OF LEUKEMIA USING IMAGE PROCESSING
Article Information	: Volume 4 - Issue 1 (May - 2020) ,
Affiliation(s)	: THIRUVALLUVAR UNIVERSITY

Abstract :

Image classification contains basic instrument for mining data in digital images. Leukemia is the consequence of the quick overproduction of unusual white platelets. It consequences for the verge of 45,000 individuals inside us yearly. Leukemia is that the commonest kind of blood disease in individuals more seasoned than 55. But on the other hand, it's the preeminent regular malignant growth in youngsters under 15.Leukemia happens when strange white platelets inside the bone marrow rapidly increment and devastate ordinary platelets. This leaves an individual arranged to disease. Treatment approaches for leukemia rely on the kind of white blood corpuscle influenced and whether the illness is intense or interminable. Intense leukemia frames rapidly and becomes extreme quickly. Ceaseless leukemia develops all the more step by step and takes more time to progress. The goal of this paper is to consolidate information around scarcely any image classification strategies. This paper furthermore clarifies different classifications of image classification techniques. The image classification techniques considered in this paper are Support Vector Machines (SVM), self-organizing map (SOM), and Naïve Bayes Classifier techniques, Artificial neural network (ANN), K-nearest neighbors (K-NN).

Keywords	: Leukemia, Self-organizing map (SOM), Naïve Bayes Classifier techniques, Support Vector Machines (SVM), Artificial neural network (ANN), K-nearest neighbors (K-NN).
Document Type	: Research Paper
Publication date	: July 09, 2020