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Plasmodium Parasite Detection on Thin Blood Smear Image using Double Thresholding and BLOB Analysis

机译:双重阈值和BLOB分析技术在薄血涂片图像中检测疟原虫

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Detection of the parasite that causes malaria can be made through examination of blood slides observation using a microscope by medical officer. However, to prevent death in people with urgently needed malaria parasite detection can be done rapidly and accurately, mainly in such areas which is lack of experienced medical officer, such as in rural areas in Borneo and Papua. Furthermore, in an effort to malaria diagnosis, the data are inconsistently made with standard procedure, hence the blood smear data produced are non-standard data. This becoming a huge challenge for the researcher to be able to detect parasite on non-standard data. By using microscope, eyepiece camera, and computer, we propose a method to detect the presence of parasite inside the red blood cells using combination of the Double Thresholding techniques and BLOB analysis. Our experimental research using our proposed method, able to obtain average of PPV of 84.43%, and Sensitivity of 85.5%.
机译:可以通过医务人员使用显微镜检查血片来检测引起疟疾的寄生虫。但是,为了防止在急需的疟疾患者中死亡,可以快速,准确地进行寄生虫检测,主要是在缺少经验丰富的医务人员的地区,例如婆罗洲和巴布亚的农村地区。此外,为了进行疟疾诊断,该数据与标准程序不一致,因此产生的血液涂片数据是非标准数据。对于研究人员来说,要能够在非标准数据上检测到寄生虫,已成为一个巨大的挑战。通过使用显微镜,目镜相机和计算机,我们提出了一种使用双重阈值技术和BLOB分析相结合的方法来检测红细胞内部是否存在寄生虫的方法。使用我们提出的方法进行的实验研究能够获得PPV的平均值为84.43%,灵敏度为85.5%。

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