Semi-Automatic Detector of Plasmodium Falciparum on Microscope Image Based

Wahab, Iis Hamsir Ayub and Susanto, Adhi and Santosa, P. Insap and Tjokronegoro, Maesadji (2013) Semi-Automatic Detector of Plasmodium Falciparum on Microscope Image Based. In: International Conference on Computer, Control, Informatics and Its Application.

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Abstract

The inspection standard for diagnosis of active malaria for parasites in blood slides through a microscope. Although microscopy has good sensitivity and allows species identification and parasite counts it requires microscopy expertise and involves a labor intensive repetitive task which is time consuming. The main aim of this research is to build an automatic system for identify and classify the parasite plasmodium falciparum based on a digital image scheme. The results of this research show the color features can give higher accuracies based on the architecture of LVQ network with four hidden neurons

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Dr iis hamsir ayub wahab
Date Deposited: 12 Dec 2022 07:42
Last Modified: 12 Dec 2022 07:42
URI: http://repository.unkhair.ac.id/id/eprint/219

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