AUTOMATED WHITE BLOOD CELLS COUNTING SYSTEM FOR ACUTE LEUKEMIA BASED ON BLOOD IMAGES

摘要: Leukemia is a blood cancer disease that contributes to the increment of mortality rate in Malaysia each year. Acute leukemia can be divided into two types which are acute myelogenous (AML) and lymphocytic (ALL). The production development cells happen rapidly uncontrollable. Identification technique for could done fast effective early stage, proper treatment delivered. Hematologists or technologists will screen using microscopic image. Screening diagnosis with computer aided system becomes more popular choice amongst medical image processing researchers as existing equipments use other method than analysis too expensive own. This paper presents automated counting procedures, including series techniques such segmentation, noise elimination extraction count region interest, this case white (WBC). performance tested by comparing results between manual total detects. proposed able yield an average 99.09% based on sensitivity.