Detection of malaria parasites in thick blood smear: A review
Based on data from World Health Organization, in 2015, there are 90% of deaths caused by malaria disease in Africa, Southeast Asia and countries of eastern Mediterranean. It makes the malaria become one of the most dangerous diseases that often leads to death. To support the diagnosis of malaria, ea...
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| Autors principals: | , , |
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| Format: | EJournal Article |
| Publicat: |
Komunitas Ilmuwan dan Profesional Muslim Indonesia,
2018-06-14.
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| Accés en línia: | Get Fulltext |
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| Sumari: | Based on data from World Health Organization, in 2015, there are 90% of deaths caused by malaria disease in Africa, Southeast Asia and countries of eastern Mediterranean. It makes the malaria become one of the most dangerous diseases that often leads to death. To support the diagnosis of malaria, early detection of plasmodium parasite is needed. Recently, malaria diagnosis process can be done with the help of computer, or often referred to as Computer Aided Diagnosis (CAD). By utilizing the digital image from the blood staining process, digital image processing can be performed to detect the presence of malaria parasite. There are 2 types of blood smear images that can be used in the malaria diagnosis process, namely, thin blood smear images and thick blood smear images. This paper provides a review of the techniques and methods used in the diagnosis of computer-assisted malaria using thick blood smear images as a diagnostic material. Malaria adalah salah satu penyakit serius yang sering mengakibatkan kematian. Berdasarkan data dari organisasi kesehatan dunia (WHO), di tahun 2015, 90% kematian akibat malaria terjadi di benua Afrika, diikuti oleh Asia Tenggara dan negara â€" negara mediterania timur. Deteksi dini parasit plasmodium diperlukan untuk membantu proses diagnosis malaria. Seiring dengan berkembangnya teknologi informasi, proses diagnosis malaria melalui sediaan darah dapat terbantu dengan adanya teknik pengolahan citra digital. Dengan menggunakan citra digital sediaan darah merah, pada umumnya, identifikasi parasit dilakukan melalui beberapa tahap, yaitu pra-pemrosesan, segmentasi, ekstraksi fitur dan klasifikasi. Tulisan ini membandingkan metode â€" metode pengolahan citra untuk menentukan metode yang terbaik yang dapat diimplementasikan pada bidang deteksi parasit malaria pada sediaan darah tebal. |
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| Descripció de l’ítem: | https://cst.kipmi.or.id/journal/article/view/75 |