Blood Cancer Detection 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 project makes an effort to devise a methodology for the detection of Leukemia using image processing techniques, thus automating the detection process. Our project consist of development of a machine learning algorithm to detect cancer using microscopy image.

Keywords: Machine Learning, Blood Cancer, Leukemia, Image Processing, CNN Architecture