An overview: segmentation method for blood cell disorders
Blood make up of 45% blood cells and 55% plasma. Blood cells consist of red blood cell (RBC), white blood cell (WBC) and platelet (thrombocytes). Each of the cells has the role to carry oxygen and carbon dioxide in the blood, work as an antibody and function for clot mechanism. Complete blood count...
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Main Authors: | , , , , |
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Format: | Book Section |
Published: |
Springer Berlin Heidelberg
2011
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/28778/ http://dx.doi.org/10.1007/978-3-642-21729-6_148 |
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Summary: | Blood make up of 45% blood cells and 55% plasma. Blood cells consist of red blood cell (RBC), white blood cell (WBC) and platelet (thrombocytes). Each of the cells has the role to carry oxygen and carbon dioxide in the blood, work as an antibody and function for clot mechanism. Complete blood count (CBC) is done to measure all of the blood cells and including hematocrit and hemoglobin. Any abnormal reading which beyond the normal reading is considered blood cell disorder like leukimia, aplastic anemia, and others. Many analyzing methods has been developed to give a precise and reliable reading for CBC such as flow cythometric immunophenotyping, manual blood reading, blood smear, segmentation and others. Segmentation is among the best way for analyzing in term of cost effective and time consuming compared to other methods. A continuous improvement for 3D image segmentation will lead to a better result in the future |
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