COMPUTERIZED HEMATOLOGY COUNTER
Journal Title: International Journal of Medical and Clinical Research - Year 2012, Vol 3, Issue 6
Abstract
Blood Cell segmentation is a challenging problem due to both the complex nature of the cells and the uncertainty present in video microscopy. Manual methods for this purpose are imprecise and highly subjective, thus requiring automated methods that perform this task in an objective and efficient way. In this project, we propose a novel method to segment blood cells by performing standard count and classifying white blood cells by differential count. Two types of blood cell analysis are performed: complete blood count and differential blood count. In complete blood count the numbers of erythrocytes (red cells), leukocytes (white cells) and platelets in the blood (the blood in the circulatory system) are counted to obtain a concentration of cells per unit volume. In a differential blood count the different classes of leukocytes (WBC) in the blood are counted to provide a more detailed diagnosis. Thus, the idea of our project is to serve the pathologists, medical technicians for the same, by using Image Processing techniques. This project is an attempt to embed visual perception and statistical intelligence of pathologist in “Image Processing Systemâ€. It uses dedicated algorithms to process the image of the blood sample.
Authors and Affiliations
S. T. KHOT, R. K. PRASAD
Keywords
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- EP ID EP170062
- DOI 10.9735/0976-5530.3.6.190-194
- Views 104
- Downloads 0
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