Abstract
This work proposes the realization classification of intense leukemia utilizing BP neural organization calculation and platelet picture extraction. Leukemia is a malignant growth of the platelets delivered by the bone marrow, known as the excess of white platelets. The specific reason for leukemia is, at this point, unclear. However, it has been confirmed that leukemia (lymphocytes or bone marrow cells) is grouped by the type of blood cells affected and how rapidly disease progression (acute leukemia, chronic leukemia). The focus of this study is Acute Myeloid Leukemia (AML). These leukemia kinds can be analyzed by examining infinitesimal platelet pictures and including the expansion in the bone marrow platelets. Yet, its cost is too high regarding time, energy, and amount. Likewise, manual tallying can prompt common blunders in diagnostics. The back spread neural organization calculation is utilized to extricate Acute Lymphocytic Leukemia (ALL) properties and AML platelets. Finally, this proposed Vacuole Imaging Technique (VICT) means system-based segmentation and leukemia imaging based on current state detection and image clustering transformation. The proposed vacuole image classification technology (VICT) method is used to act faster and perform better in predicting inaccuracy in the affected area. Digital image processing is used to identify the type of leukemia. Experimental results suggest that the proposed work achieves an average accuracy of 86.66 percent in classifying the type of acute leukemia.
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