COMPUTER-ASSISTED ALL, AML, CLL, CML DETECTION AND COUNTING FOR DIAGNOSIS OF BLOOD CANCER

Computer Engineering

Leukemia could be a cancer of white blood cells (WBCs) which damages blood and bone marrow of shape. It can be fatal illness if not diagnose at earlier stage. Typically, the complete blood count (CBC) or morphological image analysis is employed to manually diagnose the malignant neoplastic disease cells. These ways are time consuming and fewer correct that must be mounted. In this paper we've planned an automatic technique for the detection of Acute lymphocytic leukemia (ALL), Acute myeloid leukemia (AML), Chronic lymphocytic leukemia (CLL), Chronic myeloid leukemia (CML) by microscopic blood image analysis. This approach initially sections out the various kinds of cells from the image i.e. White blood cells, red blood cells and platelets. Afterward Lymphocytes are separated from the white blood cells. Then form and color options are extracted from these lymphocytes that are given to KNN to classify the cells into traditional and blast. After that the counting of the WBC cells are also detected for accurate diagnosis. This automated malignant neoplastic disease detection system found to be more practical, fast and correct as compared to manual identification ways.

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