A review to detect leukemia cancer in medical images

Health informatics has been qualified as prominent province in the headway of information technology. Ascribable to such a sophisticated evolution in the health care informatics, it is viable at the present period of time to diagnose several ailments in a short span of time. In relation to complaints, there is one disease dub leukemia which can be recognised by manipulating different techniques of information technology. Leukemia customarily occurs when a big portion of nonstandard White Blood Cells produced in the body by bone-marrow. Hematologist makes usage of microscopic study of human blood-cells which leads towards the requirement of several different methods that consist of microscopic-images, segmentation process, grouping as well as classification that can allow proper identification of numerous distinct patients that are having leukemia disease. The image data-set of microscopic ridges would be inspected visually by using some hematologists as well as this process is quite time consuming along with exhausting. The well-timed and fast discovery of leukemia considerably aids in providingaptcure to the sick-patient. The necessity for computerization of detection of this disease generally rises perpetually since modern techniques that include proper manual-investigation of the tissues of the blood as primary step in the direction of disease diagnosis. This procedure is relatively time-consuming, along with their proper accurateness depend upon the proficiency of operator's. So, prevention of leukemia is quite important. This paper has surveyed several methods utilized by prior authors such as ANN (Artificial Neural Network), image processing, LDA (Linear Dependent Analysis), SOM (Self Organizing Map) etc.