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Automated Cell Nucleus Segmentation And Acute Myelogenous Leukemia Detection In Blood Microscopic Images Using SVM

Publication Date : 10/07/2015



Author(s) :

Miss. Kirti Thigale , Prof. V. S. Bhatlavande.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

Acute Myelogenous leukemia (AML) is a subtype of acute leukemia, which is common among adults. The average age of a person with AML is 65 years. The need of automation for leukemia detection gets up since current methods involve manual examination of the blood smear as the first step toward determination. This is time consuming and its accuracy depends on operator‟s ability. In this work a simple technique that automatically detects and segments AML in blood smear is used. Gray level co-occurrence of matrix (GLCM) is used for finding out the texture and shape parameter of nucleus and support vector machine (SVM) is employed for classification.


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