000 02497ntm a2200253 a 4500
001 vtls000073790
003 KUKTEM
005 20251114204542.0
008 130815t2012 my da f m 000 0 eng d
020 _aTHE0007088(Local)
039 9 _a201906131104
_bhanafiah
_y201308151041
_zFida
040 _aUMP
090 _aTK8315 .S53 2012 rs Bc.
100 0 _aNur Shahida Nawi
245 1 4 _aThe detection and summation of squamous epithelial cells for sputum quality testing /
_cNur Shahida Nawi
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axvii, 56 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2012
504 _aBibliography : p. 44-45
520 3 _aSputum is mucus that coughs up from the lower airways, which consists of cells such as squamous epithelial cells (SEC), pus cells, macrophages and other cells. SEC that found in sputum is an epithelium characterized by its most superficial layer consisting of flat cells, known as skin cells. Sputum with good quality is important to detect diseases. The quality of sputum is determined using Bartlett‟s Criteria by considering the score of SEC, pus cell(neutrophils) and macroscopy. If the total score is 1 and above, the sputum will be cultured and the specimens will be proceed accordingly. Whereas if the total score is 0 and below, the process of sputum will stop. For squamous epithelial cells, the score is 0 if SEC is less than 10.Whereas if SEC is between 10 to 25, the score is -1 and the score is -2 if the number of SEC is greater than 25. Currently, the detection of SEC in sputum is manually done by technologists. However, the problems if the human do are time consuming and human constraint. So, another method is needed which is by automated vision system using image processing technique in. Image processing such as image segmentation is used to detect and count the number of SEC.Then, the result of SEC is displayed using graphical user interface (GUI). The advantage of GUI is to make computer operation more intuitive and thus easier to use. In conclusion, squamous epithelial cells can be detected using image processing and the score of SEC is determined. Lastly, the percentage of error for this project is calculated.
650 0 _aImage intensifiers
650 0 _aElectronic cameras
999 _aVIRTUA40
_c4003
_d4009
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992