Paper Title
A Robust Morphological Analysis Of Normal And Abnormal Leukemic Cells Populations In Acute Lymphoblastic Leukemia

At present, identification of blood disorder is done through the visual inspection of microscopic images of blood cells. After the identification of blood disorder, the results obtained can lead to classification of certain diseases related to blood. Currently, pathologists manually annotate the leukocytes for the identification of various diseases. This is quite time consuming and tiresome. This can also be susceptible to errors as it is human dependent. The present technique aims at automation of process for the analysis of normal and leukemic cells. The lymphocytes are infected in acute lymphoblastic leukemia, which are afterwards termed as lymphoblast. The rate of population of blast cells is enormous. As the disease grows very fast in short duration, it may destroy the life. Early detection and diagnosis is that why very important and attentive factor for the doctors. The technique is developed using MATLAB environment.