A Comparative Study of Techniques for Leukaemia Detection

Leukaemia is a cancer of blood that causes more deaths than any other cancer. Presently, the diagnosis of blood samples is done through visual examination by doctors. For proper and efficient treatment of leukaemia it is essential to detect it in early stage and proceed with the monitoring and evaluation. Till date many research have been done to design an automated system for detection of leukaemia either through study of microscopic images of blood samples or bone marrow biopsy. In this paper, a literature review has been done to classify the types of leukaemia and the various methodologies being followed by the researchers to detect it. Also, we have discussed some of the issues faced by the researchers. This paper also describes the various changes on texture, geometry, color and statistical analysis of microscopic images.