Detection of Leukemia in blood Samples using Microscopic Images

This book describes a preliminary study of detection of different types of leukemia using microscopic blood sample images. Analyzing through images is very important as diseases can be detected and diagnosed at earlier stage. From there, further actions like controlling, monitoring and prevention of diseases can be done. Images are used as they are cheap and do not require expensive testing and lab equipments. The system focuses on white blood cells disease, leukemia. The system will use features in microscopic images and examine changes on texture, geometry, colour and statistical analysis. Changes in these features will be used as a classifier input. A literature review has been done and Reinforcement Learning is proposed to classify types of leukemia. A little discussion about issues suggested by researchers has also been presented..