Rekabentuk sistem diagnosis pintar untuk penyakit tuberkulosis berdasarkan imej kahak Ziehl-Neelsen /
The objective of this study is to develop an Intelligent Diagnostic System for Tuberculosis Infection. This system used neural network technique to reduce the processing time for ZN stained smear image compared to manual screening and image processing technique. The techniques that were used in this...
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| Main Author: | |
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| Format: | Thesis Software eBook |
| Language: | Malay |
| Published: |
Perlis, Malaysia
School of Computer and Communication Engineering
2010.
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| Subjects: | |
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| Summary: | The objective of this study is to develop an Intelligent Diagnostic System for Tuberculosis Infection. This system used neural network technique to reduce the processing time for ZN stained smear image compared to manual screening and image processing technique. The techniques that were used in this research to detect TB bacilli are one to one pixel mapping technique and nine to one pixel mapping technique |
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| Physical Description: | 1 CD-ROM 12 cm |
| Bibliography: | Includes bibliographical references (pages 142-148). |