Development of an automated intelligent diagnostic system for tuberculosis detection based on sputum specimen
Tuberculosis (TB) is a highly infectious disease. TB diagnosis is usually done manually by microbiologist through microscopic examination of sputum specimen of TB patients for pulmonary TB diseases. However, this practice is time consuming and labour-intensive. Hence, it results in fatigue and work...
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Format: | Thesis |
Language: | English |
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Universiti Malaysia Perlis (UniMAP)
2016
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Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41291 |
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