Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based
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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/101164/1/2013_IC3INA.pdf |
| Summary: | 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 |
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