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) |
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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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