Bacteria identification from microscopic morphology using naïve bayes
Great knowledge and experience on microbiology are required for accurate bacteria identification. Automation of bacteria identification is required because there might be a shortage of skilled microbiologists and clinicians at a time of great need. We propose an automatic bacteria identification fr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIRCC Publishing Corporation
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/37781/1/4214ijcseit01.pdf http://irep.iium.edu.my/37781/ http://airccse.org/journal/ijcseit/current2014.html |
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