文章基本信息

标题：Malaria Parasites, Anemia and Leukemia Detection in Blood Using Image Processing
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作者：Huzefa Galiakotwala ; Roshni S. Londhe ; Surbhi S. Shah 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：3
页码：1933-1937
DOI：10.15680/IJIRCCE.2019. 0703065
出版社：S&S Publications
摘要：Malaria, Anemia and Leukemia are a serious infectious disease. According to the World Health Organization, it is responsible for nearly one million deaths each year. There are various techniques to diagnose Malaria, Anemia and Leukemia of which manual microscopy is considered to be the gold standard. However due to the number of steps required in manual assessment, this diagnostic method is time consuming (leading to late diagnosis) and level to human error, even in experienced hands. The focus of this study is to develop a robust, unsupervised and sensitive Malaria, Anemia and Leukemia screening technique with low material cost and one that has an advantage over other techniques in that it minimizes human reliance and is, therefore, more consistent in applying diagnostic criteria of Anemia symptoms and signs. Anemia is a condition in which a person has a lower than the normal number of red blood cells or hemoglobin in their blood. Also in our proposed work, Leukemia can be detected on the basis of white blood cell count.
关键词：Malaria; Anemia; RBC; Parasite; Microscopic Images; Feature Extraction; Threshold and Edge