Acute Mylogenous Leukemia Detection Using Blood Microscopic Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Leukemia is a specific kind of cancer, where the blood cells i.e., RBC’s, leukocytes or WBC’s; lymphatic system or bone marrow gets affected. Blood tests aids in diagnosing blood cancer, where affected blood cells are enumerated. In this particular paper, Acute Mylogenous Leukemia (AML), which is general among adult, has been considered by us. The demand for automated detection of leukemia springs up when the medical practitioner recognize cancer cells, which is entirely manual and hence it is disadvantageous for the patients. Fully automated diagnosis system aids the medical for easier detection of the AML cells from the microscopic blood image which ameliorates the patient’s endurance. Our propounded approach mainly comprises of image restoration, segmentation, texture and color feature extraction and eventually, classification is done. 30 sample images has been taken into consideration and the propounded approach managed to procure 98.6% accuracy. Eventually the procure results of our propounded approach is compared with the existing methods to show the amelioration in terms of accuracy.
Authors and Affiliations
C. Rajivegandhi, Animesh Mrinal, N. Sanjana, Sumeet Shekhar
Keywords
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