Segmentation and Classification Techniques of Leukemia Using Image Processing: an Overview

Identification of blood disorders are mainly done by hematologists or experts, by examining the images of blood cells obtained with the help of microscopes. It helps to classify several diseases related to blood cells such as blood cancer, sickle cell diseases, polycythemia, etc. This paper is an overview of various studies conducted in the field of blood cancer, specifically to detect and classify different types of leukemia. This study focuses on the techniques used to segment and detect the type of leukemia by analyzing different features of the digital images of the white blood cells. Variations in these features are used as the classifier inputs which give information about different types of leukemia. At the end, comparisons of different techniques used for segmentation and classifications are also given to understand their relative merits and demerits.