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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Bibliographic Details
Main Author: Aida Sharmila Wati Wahab (Author)
Corporate Author: Universiti Malaysia Perlis
Format: Thesis Book
Language:Malay
Published: Perlis, Malaysia School of Computer and Communication Engineering 2010.
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245 1 0 |a Rekabentuk sistem diagnosis pintar untuk penyakit tuberkulosis berdasarkan imej kahak Ziehl-Neelsen /  |c Aida Sharmila Wati Wahab 
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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. 
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