Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images

Leukemia is a type of cancer, characterized by an anomalous production of immature, abnormally-shaped white blood cells (WBC) called “blasts”.1,2,3,4,5,6 Diagnosis is typically carried out by analyzing the white blood cells via the microscope of the blood smear.7 In a healthy adult, the ratio of red blood cells to white blood cell remains at 1000:1; and any value above this threshold is a characteristic, proliferative feature of leukemia in the patient.8,9,10,11 On the contarary, few cases of leukemic patients have also been diagnosed with lower white blood cell count.

Source: Clinical Lymphoma, Myeloma and Leukemia - July 19, 2021 Category: Hematology Authors: Kokeb Dese, Hakkins Raj, Gelan Ayana, Tilahun Yemane, Wondimagegn Adissu, Janarthanan Krishnamoorthy, Timothy Kwa Source Type: research