ACADSTAFF UGM

CREATION
Title : Automated Detection of Plasmodium Ovale and Malariae Species on Microscopic Thin Blood Smear Images
Author :

Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (1) KHONSA IMAROH (2) Dr.Eng. Ir. Igi Ardiyanto, S.T., M.Eng. (3) ZULFANAHRI (4) EKA LEGYA FRANNITA (5)
Date : 0 2020
Keyword : "HSV, Parasite Detection System, Plasmodium Malariae, Plasmodium Ovale, Region of Interest " "HSV, Parasite Detection System, Plasmodium Malariae, Plasmodium Ovale, Region of Interest "
Abstract : "Malaria is caused by Plasmodium and transmitted by female Anopheles mosquitoes bite. Early detection of malaria has been performed using microscopic thin blood smear images. Even so, in 2014, as many as 321 million times microscopic examination, there were frequent misdiagnosis caused by human factors. Region of Interest (RoI) in image processing is part of the image that has the highest information. The precise determination of the RoI area can make the computer-based identification process work more efficiently, contribute better to the system, and also eliminate objects that are perceived to interfere with the whole process. This study aims to detect parasites by determining the RoI area of two species of Plasmodium Ovale and Plasmodium Malariae. The working principle of detection is using adaptive thresholding, colour segmentation between green channel (G) with hue channel (H) from HSV colour space, and some morphological operation techniques. The data used are digital microscopic images of thin blood smear. This research achieves the sensitivity level of 91.6% and positive predictive value (PPV) of 89.1%. It shows that performance of the proposed parasite detection method is reliable to assist doctor and contributes for developing the computer aided detection in Plasmodium cases. "
Group of Knowledge : Teknik Biomedika
Original Language : English
Level : Internasional
Status :
Published
Document
No Title Document Type Action
1 3_ p35-48_Automated Detection of Plasmodium Ovale and Malariae Species on Microscopic Thin Blood Smear Images.pdf
Document Type : [PAK] Full Dokumen
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2 L1.pdf
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3 Similarity Automated Detection of Plasmodium Ovale and Malariae Species on Microscopic Thin Blood Smear Images.pdf
Document Type : [PAK] Cek Similarity
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4 Suket Publikasi PAK_Automated Detection of Plasmodium Ovale and Malariae Species on Microscopic Thin Blood Smear Images.pdf
Document Type : Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
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