Leukemia detection in short time duration using machine learning

Abstract: Leukemia (blood cancer) begins in the bone marrow and causes the formation of a large number of abnormal cells. The most common types of leukemia known are Acute lymphoblastic leukemia (ALL), Acute myeloid leukemia (AML), Chronic lymphocytic leukemia (CLL) and Chronic myeloid leukemia (CML). This thesis makes an effort to devise a methodology for the detection of Leukemia using image processing techniques, thus automating the detection process. Our project consists of development of a machine learning algorithm to detect cancer using microscopy image. Keywords—LeukemiaDiagnosis,convolutional neural networks, Leukemia types