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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| Main Author: | |
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| Format: | Thesis Software eBook |
| Language: | English |
| Published: |
Perlis, Malaysia
School of Computer and Communication Engineering, University Malaysia Perlis
2014
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| Subjects: | |
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| Summary: | 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 overload to the microbiologists, thus reduces the diagnostic performance. This research involved in the development of automated intelligent diagnosis system for tuberculosis detection based on Ziehl-Neelsen sputum specimen. |
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| Physical Description: | 1 CD-ROM 12 cm |
| Bibliography: | Includes bibliographical references (pages 225-227) |