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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Format: | Thesis Book |
Language: | Malay |
Published: |
Perlis, Malaysia
School of Computer and Communication Engineering
2010.
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100 | 0 | |a Aida Sharmila Wati Wahab, |e author | |
245 | 1 | 0 | |a Rekabentuk sistem diagnosis pintar untuk penyakit tuberkulosis berdasarkan imej kahak Ziehl-Neelsen / |c Aida Sharmila Wati Wahab |
264 | 1 | |a Perlis, Malaysia |b School of Computer and Communication Engineering |c 2010. | |
300 | |a x, 189 pages |b illustrations |c 30 cm. | ||
336 | |a text |b txt |2 rdacontent | ||
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338 | |a volume |b nc |2 rdacarrier | ||
502 | |a Thesis (Master of Science)--Universiti Malaysia Perlis. School of Computer and Communication Engineering, 2010. | ||
504 | |a Includes bibliographical references (pages 142-148). | ||
520 | 3 | |a 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 | |
541 | |a Gift from Centre for Graduate Studies | ||
650 | 0 | |a Tuberculosis |x Diagnosis. | |
650 | 0 | |a Artificial intelligence. | |
710 | 2 | |a Universiti Malaysia Perlis | |
720 | 1 | ||
790 | 1 | |a School of Computer and Communication Engineering | |
791 | 1 | |a Master of Science | |
792 | 1 | |a 2010 | |
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