Early Stage Detection of Leukemia Using Artificial Intelligence

Leukemia is tissue‐forming cancer of blood including Bone Marrow. An increase in the number of White Blood Cells in blood cells is the main cause of leukemia. Leukemia and Lymphomas are most common forms of Hematological Malignancy. Many forms of leukemia exist, which are characterized by the production of access number of abnormal WBCs. Artificial Intelligence is used to diagnosis acute myeloid leukemia (AML) which is the common type of blood cancer. It helps to detect this blood cancer with high accuracy. This approach is based on the activity of the gene in the blood cell. The proposed approach promotes early stage identification of leukemia and allows early diagnosis of leukemia. This reduces the risk of development of leukemia cells inside the blood. The proposed work consists of four sections‐Object Recognition, Image Enhancement, Pattern Recognition and Matching Probability and Results. These modules thus help us to implement the proposed technique and desired results are obtained. This research has made an effort to detect leukemia and give a probability whether any person may suffer from it in coming years. Efforts by many authors have been analyzed and an efficient way is proposed with many positive intensions for future aspects of this technology.