A Study for Extracting Nucleolus Candidate Zone in WBC
نویسندگان
چکیده
White Blood Cancer is one of the deadliest diseases for human being and its presence can be early diagnosed by detecting the existence of nucleolus in White Blood Cells (WBC) of peripheral blood smear images. In this paper, the author would like to compare the performance of nucleolus candidate zone extraction algorithm by utilizing Wavelet transforms and Curvelet transform. The result confirms that Curvelet transform shows a better performance than wavelet transform in extracting the nucleolus candidate zone. The authors hope that the result of this research can improve the accuracy in diagnosing white blood cells related diseases in the future.
منابع مشابه
Extraction of Nucleolus Candidate Zone in White Blood Cells of Peripheral Blood Smear Images Using Curvelet Transform
The main part of each white blood cell (WBC) is its nucleus which contains chromosomes. Although white blood cells (WBCs) with giant nuclei are the main symptom of leukemia, they are not sufficient to prove this disease and other symptoms must be investigated. For example another important symptom of leukemia is the existence of nucleolus in nucleus. The nucleus contains chromatin and a structu...
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تاریخ انتشار 2014