文章基本信息

标题：A comparative study of algorithms used for leukemia detection
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作者：T. Karthikeyan ; B. Ragavan ; N.Poornima 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：4
页码：1070-1075
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In medical diagnosis systems, classification of blood cell is most important to evaluate and diagnosis the disease. Identification of blood disorders, it can lead to classify the diseases related to blood. Leukemia is a blood cancer that begins with bone marrow. It should be treated at earlier stage, if left untreated it cause death. This paper describes algorithms which is mostly used to detect leukemia. The algorithms described here are Support Vector Machine(SVM), Otsu's thresholding method, kNN , k-means clustering method, Watershed Transformation.
关键词：Leukemia; classification; detection; ; SVM; Otsu's; kNN; k-means clustering method; ; Watershed Transformation