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Acute lymphoblastic leukemia (ALL) is the most common hematological neoplasia of childhood and is characterized by uncontrolled growth of leukemic cells in bone marrow, lymphoid organs etc. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed due to imitation of similar signs by other disorders. Careful microscopic examination of...
Designing an effective classifier has been a challenging task in the previous methods proposed in the literature. In this paper, we apply a combination of feature selection algorithm and neural network classifier in order to recognize five types of white blood cells in the peripheral blood. For this purpose, first nucleus and cytoplasm are segmented using Gram-Schmidt method and snake algorithm, respectively;...
White blood cell (WBC) detection is one of the most basic and key steps in the automatic WBC recognition system. Its accuracy and stability greatly affect the recognition accuracy of the whole system. This paper presents a novel method for WBC detection based on boundary support vectors (BSVs). Firstly, v-Support Vector Regression (v-SVR) is introduced. Then sparse BSVs are obtained while fitting...
Acute Lymphoblastic Leukemia (ALL) is a blood cancer, which is characterized by an abnormal proliferation of lymphoblasts (a form of white blood cells). It leads to debilitating condition of the patient and necessitates an early therapeutic intervention. For diagnosis of ALL, a pathologist examines bone marrow smear for the count of different types of lymphoblasts to arrive at the diagnosis. The different...
Counting of different classes of white blood cells in bone marrow smears can give pathologists valuable information regarding various hematological disorders. For automation imaging analysis techniques, precise segmentation of white blood cells is quite challenging due to the complex contents in bone marrow smears. Far more different from traditional color imaging analysis methods, we introduced multispectral...
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