Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based
| Main Authors: | Wahab, Iis Hamsir Ayub, Susanto, Adhi, Santosa, Paulus Insap, Tjokronegoro, Maesadji |
|---|---|
| Format: | Proceeding PeerReviewed application/pdf |
| Bahasa: | eng |
| Terbitan: |
, 2013
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/101164/1/2013_IC3INA.pdf https://repository.ugm.ac.id/101164/ |
Daftar Isi:
- 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