This report presents The counting and classification of blood cells from microscopic images allow evaluation and diagnosis of many diseases. Leukemia is a blood cancer that can be detected through the analysis of WBCs or leukocytes. Leukemia can be of
two types: acute and chronic. According to the French-American-British (FAB) classification model, acute leukemia is classified into two subtypes: acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). Report presents only the ALL, that affects a group of leukocytes called lymphocytes. The ALL primarily accepts children and adults over 50 years and due to its rapid expansion into the bloodstream and vital organs can be fatal if left untreated [1]. Therefore, it becomes crucial early diagnosis of the disease for patients' recovery, especially in the case of children. The use of image processing techniques can help to count the cells in the human blood and, at the same time, provide information on the cells morphology. These techniques require only one image and are therefore less expensive, but at the same time more scrupulous in providing more accurate standards. The main goal of this work is the processing and analysis of microscopic images, in order to provide a fully automatic procedure to support the medical activity, able to count and classify the WBCs affected by ALL. Figure 1.1 shows the UK Leukemia case statistics for males and females in 2007, revealing that the survival rate has increased from 2001 to 2006.
This report presents The counting and classification of blood cells from microscopic images allow evaluation and diagnosis of many diseases. Leukemia is a blood cancer that can be detected through the analysis of WBCs or leukocytes. Leukemia can be oftwo types: acute and chronic. According to the French-American-British (FAB) classification model, acute leukemia is classified into two subtypes: acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). Report presents only the ALL, that affects a group of leukocytes called lymphocytes. The ALL primarily accepts children and adults over 50 years and due to its rapid expansion into the bloodstream and vital organs can be fatal if left untreated [1]. Therefore, it becomes crucial early diagnosis of the disease for patients' recovery, especially in the case of children. The use of image processing techniques can help to count the cells in the human blood and, at the same time, provide information on the cells morphology. These techniques require only one image and are therefore less expensive, but at the same time more scrupulous in providing more accurate standards. The main goal of this work is the processing and analysis of microscopic images, in order to provide a fully automatic procedure to support the medical activity, able to count and classify the WBCs affected by ALL. Figure 1.1 shows the UK Leukemia case statistics for males and females in 2007, revealing that the survival rate has increased from 2001 to 2006.
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