Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/1344 2018 2018 Bharati Vidyapeeth’s College of Engineering, New Delhi, India Devanshu Devanshu Bharati Vidyapeeth’s College of Engineering, New Delhi, India Rishabh Tater Bharati Vidyapeeth’s College of Engineering, New Delhi, India Priya Yaday Bharati Vidyapeeth’s College of Engineering, New Delhi, India Tripti Jain Bharati Vidyapeeth’s College of Engineering, New Delhi, India Preeti Nagrath Leukemia is a type of blood cancer. Leukemia is cancer that begins in the blood cells. The lymphocytes and other blood cells are created in the bone marrow. When a person has leukemia the bone marrow does not function properly. Leukemia cells are produced by the bone marrow. Leukemia cells are mainly referred to as "rupture". These naive cancer cells block the cells that create the bone marrow. In this paper, various approaches to the classification & automatic detection of leukemia are described. The experiment was successfully implemented in Kaggle. Deep Learning algorithms were largely used in the treatment of Leukemia for the classification & detection of its presence in a patient. The paper describes Convolutional Neural Networks (CNN) and Visual Geometry Group-16(VGG-16) algorithms that are used to categorize leukemia into its sub-types and presents a comprehensive study of these algorithms. 2022 2022 70 76 10.54216/FPA.090106 https://www.americaspg.com/articleinfo/3/show/1344