Acute Lymphoblastic Leukemia Detection Based on Low level Features and Random Forest Classifier

Abstract

Cancer for blood-forming tissues is called leukemia. The motivation behind those speedy and sudden passing structuring and aggregation of WBCs On blood. ID number & analysis for these sorts about abnormalities by people may be troublesome What's more might prompt misidentification. Consequently, a programmed framework for those ID number Furthermore arrangement might make from claiming extraordinary assistance. This paper plans toward proposing a strategy for right Also fast order for leukemia pictures What's more classifying them under their particular sorts. The recommended framework takes as input, shade pictures from claiming stained fringe blood smears, What's more, and identifies the population for each of the acute lymphoblastic leukemia (ALL). The procedure includes pre-processing method, Segmentation method, Feature extraction method, and classification method.