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 |
| _version_ | 1797032854135242752 |
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| author | Wahab, Iis Hamsir Ayub Susanto, Adhi Santosa, Paulus Insap Tjokronegoro, Maesadji |
| author_facet | Wahab, Iis Hamsir Ayub Susanto, Adhi Santosa, Paulus Insap Tjokronegoro, Maesadji |
| author_sort | Wahab, Iis Hamsir Ayub |
| collection | UGM |
| description | 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 |
| first_indexed | 2024-03-13T22:45:00Z |
| format | Conference or Workshop Item |
| id | oai:generic.eprints.org:101164 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-13T22:45:00Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1011642015-02-27T01:21:26Z https://repository.ugm.ac.id/101164/ Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based Wahab, Iis Hamsir Ayub Susanto, Adhi Santosa, Paulus Insap Tjokronegoro, Maesadji Information Technology 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 2013-11-19 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/101164/1/2013_IC3INA.pdf Wahab, Iis Hamsir Ayub and Susanto, Adhi and Santosa, Paulus Insap and Tjokronegoro, Maesadji (2013) Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based. In: 2013 International Conference on Computer, Control, Informatics, and Its Application, 19-20 November 2014, Jakarta, Indonesia. |
| spellingShingle | Information Technology Wahab, Iis Hamsir Ayub Susanto, Adhi Santosa, Paulus Insap Tjokronegoro, Maesadji Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based |
| title | Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based |
| title_full | Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based |
| title_fullStr | Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based |
| title_full_unstemmed | Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based |
| title_short | Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based |
| title_sort | semi automatic detector of plasmodium falciparum on microscope image based |
| topic | Information Technology |
| url | https://repository.ugm.ac.id/101164/1/2013_IC3INA.pdf |
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