Detection of blood cancer in microscopic images of human blood samples: A review

Abstract

For the fast and cost effective production of patient diagnosis, various image processing techniques or software has been developed to get desired information from medical images. Acute Lymphoblastic Leukemia (ALL) is a type of leukemia which is more common in children. The term `Acute' means that leukemia can progress quickly and if not treated may lead to fatal death within few months. Due to its non specific nature of the symptoms and signs of ALL leads wrong diagnosis. Even hematologist finds it difficult to classify the leukemia cells, there manual classification of blood cells is not only time consuming but also inaccurate. Therefore, early identification of leukemia yields in providing the appropriate treatment to the patient. As a solution to this problem the system propose individuates in the blood image the leucocytes from the blood cells, and then it selects the lymphocyte cells. It evaluates morphological index from those cells and finally it classifies the presence of leukemia. In this paper a literature review is been conducted on various techniques used for detecting cancer cells.