Classification of B-Cell Acute Lymphoblastic Leukemia Microscopic Images Using Crow Search Algorithm

摘要

Acute Lymphoblastic Leukemia(ALL)is a kind of blood cancer and usually elastic tissue like structure inside the bone where platelets are present will get affected.According to a survey,nearly 876,000 individuals'suffer ALL in 2015 and it leads to around 111,000 deaths in 2015 [1-3].Blood Microscopic image captured using the digital microscope helps in diagnosis of this disease and it will be tedious task for the clinician to visually inspect the large number of microscopic images for each subject.Hence an automated classification technique will be helpful to the clinician during diagnosis of ALL [4-6].So the objective of this research work is to classify blood smear microscopic images into two classes:Leukemic B-Cell Acute Lymphoblast Leukemia cells(ALL)and normal B-lymphoid precursors(HEM).