DocumentCode :
1687558
Title :
White blood cell segmentation for acute leukemia bone marrow images
Author :
Huey Nee Lim ; Mashor, Mohd Yusoff ; Hassan, Rosline
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Arau, Malaysia
fYear :
2012
Firstpage :
357
Lastpage :
361
Abstract :
Morphological diagnosis of the blood and bone marrow smear under the microscope is an important preliminary step in the diagnosis of acute leukemia. The features and differential counts of the cells provide valuable information to the specialist to confirm the diagnosis and begin treatment, thus increasing the chance of survival of the patient. Manual diagnosis procedures are often tedious, labor intensive and time consuming. A computerised system can help accelerating the morphological diagnosis process. The proposed method consists of gradient magnitude, thresholding, morphological operations and watershed transform to perform cells segmentation. 50 images from subtypes M2, M5 and M6 were used to test the proposed method and the result showed that the method managed to obtain qualitatively good segmentation results. The segmentation accuracy for the tested image is 94.5% while the overage accuracies for the other subtypes are 94.58%, 95.06% and 95.65% respectively.
Keywords :
blood; bone; cellular biophysics; image segmentation; medical image processing; acute leukemia bone marrow images; cell differential counts; computerised system; gradient magnitude; morphological diagnosis; morphological operations; thresholding; watershed transform; white blood cell segmentation; Accuracy; Bones; Image reconstruction; Image segmentation; Transforms; White blood cells; HSV color model; leukemia diagnosis; watershed segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering (ICoBE), 2012 International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1990-5
Type :
conf
DOI :
10.1109/ICoBE.2012.6179038
Filename :
6179038
Link To Document :
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