Abstract
Blood is a very important component of our body. The main components in the blood are RBCs (Red Blood Cells), WBCs (White Blood Cells), plasma and platelets. Blood serves as an indicator for identifying many diseases namely anemia, malaria, thalassemia, leukemia etc. Abnormality in the shape and count of white blood cells causes different diseases. Leukemia is one of them. This paper deals with the identification of leukemia. Leukemia is the cancer of blood. Many methods have been proposed for the same in the literature. Complete review on the papers on leukemia detection is done in the literature survey. For proper diagnosis of leukemia image preprocessing has to be done which includes contrast enhancement and image segmentation techniques. Finally the extracted features are compared with those stored in the database and finally classified as AML and ALL
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