The detection and summation of squamous epithelial cells for sputum quality testing

Author

Nawi, Nur Shahida ; Hamid, Rosyati ; Arshad, Nurul Wahidah ; Naim, Faradila ; Jusof, Mohd Falfazli ; Razali, Mohd Norhisham ; Mohamed, Zainai

Author_Institution

Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia

fYear

2013

fDate

27-30 April 2013

Firstpage

1

Lastpage

4

Abstract

Sputum with good quality is important to detect diseases. The quality of sputum is determined using Bartlett´s Criteria by considering the score of squamous epithelial cells (SEC), pus cell (neutrophils) and macroscopy. For squamous epithelial cells, the score is 0 if SEC is less than 10. Whereas if SEC is within 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 problem with manual detection is time consuming. So, an automated vision system using image processing technique to detect the sputum quality is desirable. Image processing such as image segmentation is used to detect and count the number of SEC, and then the score is determined. Lastly, the percentage of error for this project is calculated.

Keywords

cellular biophysics; diseases; image segmentation; medical image processing; Bartlett criteria; automated vision system; disease detection; image processing technique; image segmentation; macroscopy; neutrophils; pus cell; sputum quality testing; squamous epithelial cell detection; squamous epithelial cell score; squamous epithelial cell summation; Diseases; Image color analysis; Image segmentation; MATLAB; Microorganisms; Morphology; formatting; insert; style; styling;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Photonics Conference (SIECPC), 2013 Saudi International

Conference_Location

Fira

Print_ISBN

978-1-4673-6196-5

Electronic_ISBN

978-1-4673-6194-1

Type

conf

DOI

10.1109/SIECPC.2013.6551026

Filename

6551026