Detection of Leukemia Disease using Convolutional Neural Network

Leukemia is a type of cancerous development that starts in the patient’s bone marrow. The true cause of leukemia is the production of incredibly odd white platelets present in the bone marrow. The main problem in the symptomatic sector is accurately identifying and diagnosing malignant leukocytes early in the disease, which is the first stage of leukemia. Machine learning techniques applied to blood smear images can help in the detection of leukemia and the temporary identification of abnormality subtypes, enabling the commencement of therapy as soon as possible. A CNN model is proposed in this research study to predict the leukemia disease.

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