HeMatic: An Automated Leukemia Detector With Separation of Overlapping Blood Cells through Image Processing and Genetic Algorithm

摘要

Different approaches in Image Processing are widely used in the field of medicine and since health is the factor being considered, it must be vigilantly done. This study aims to develop a system that will apply the different techniques of Image Processing and Genetic Algorithm, specifically in automating the detection of Leukemia. The benchmarks in detecting Leukemia that are being used by the medical experts on a blood sample structure are taken into account. The researchers will create a system that will accept a blood image and process it using the said methods and added a Naive Bayes Classifier in the detection process. A total of 100 blood images are used in evaluating the system. The system achieved a detection rate of 90.33%.