Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding
Sputum with good quality is important in the diagnosis of many diseases. Some factor like the number of neutrophils (pus cell), squamous epithelial cell and the appearance of macroscopic should be considered to determine the sputum quality based on Bartlett's Criteria. Hence, a vision system wh...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/8441/1/fkee-2012-rosyati-Detection_And_Summation.pdf http://umpir.ump.edu.my/id/eprint/8441/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6530556&queryText%3DDetection+And+Summation+Of+Pus+Cells+And+Epithelial+Cells+For+Sputum+Quality+Grading+Using+K-Means+Clustering+And+Color+Thresholding |
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| author | Rosyati, Hamid Norazura, Abd. Halim Faradila, Naim Kamarul Hawari, Ghazali Zeehaida, Mohamed Nurul Wahidah, Arshad |
| author_facet | Rosyati, Hamid Norazura, Abd. Halim Faradila, Naim Kamarul Hawari, Ghazali Zeehaida, Mohamed Nurul Wahidah, Arshad |
| author_sort | Rosyati, Hamid |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Sputum with good quality is important in the diagnosis of many diseases. Some factor like the number of neutrophils (pus cell), squamous epithelial cell and the appearance of macroscopic should be considered to determine the sputum quality based on Bartlett's Criteria. Hence, a vision system which is able to detect and count the existence of pus cell and epithelial cell for sputum quality testing is developed. This vision system process four sputum image for each sputum sample and determine the average number of pus cells and epithelial cells in that sample. This system also able to determine either the sputum sample is positive or negative. The percentage of error for average number of pus cell is 26.3% whereas error for epithelial cell is 27.78%. However, the final grading of either the sputum sample is positive or negative is 100% accurate. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.8441 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2012 |
| record_format | eprints |
| spelling | my.ump.umpir.84412017-12-26T04:01:34Z http://umpir.ump.edu.my/id/eprint/8441/ Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding Rosyati, Hamid Norazura, Abd. Halim Faradila, Naim Kamarul Hawari, Ghazali Zeehaida, Mohamed Nurul Wahidah, Arshad TK Electrical engineering. Electronics Nuclear engineering RB Pathology Sputum with good quality is important in the diagnosis of many diseases. Some factor like the number of neutrophils (pus cell), squamous epithelial cell and the appearance of macroscopic should be considered to determine the sputum quality based on Bartlett's Criteria. Hence, a vision system which is able to detect and count the existence of pus cell and epithelial cell for sputum quality testing is developed. This vision system process four sputum image for each sputum sample and determine the average number of pus cells and epithelial cells in that sample. This system also able to determine either the sputum sample is positive or negative. The percentage of error for average number of pus cell is 26.3% whereas error for epithelial cell is 27.78%. However, the final grading of either the sputum sample is positive or negative is 100% accurate. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8441/1/fkee-2012-rosyati-Detection_And_Summation.pdf Rosyati, Hamid and Norazura, Abd. Halim and Faradila, Naim and Kamarul Hawari, Ghazali and Zeehaida, Mohamed and Nurul Wahidah, Arshad (2012) Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding. In: 7th International Conference on Computing and Convergence Technology (ICCCT 2012) , 3-5 December 2012 , Seoul, Korea. pp. 1378-1383.. (Published) http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6530556&queryText%3DDetection+And+Summation+Of+Pus+Cells+And+Epithelial+Cells+For+Sputum+Quality+Grading+Using+K-Means+Clustering+And+Color+Thresholding |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering RB Pathology Rosyati, Hamid Norazura, Abd. Halim Faradila, Naim Kamarul Hawari, Ghazali Zeehaida, Mohamed Nurul Wahidah, Arshad Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding |
| title | Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding |
| title_full | Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding |
| title_fullStr | Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding |
| title_full_unstemmed | Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding |
| title_short | Detection And Summation Of Pus Cells And Epithelial Cells For Sputum Quality Grading Using K-Means Clustering And Color Thresholding |
| title_sort | detection and summation of pus cells and epithelial cells for sputum quality grading using k-means clustering and color thresholding |
| topic | TK Electrical engineering. Electronics Nuclear engineering RB Pathology |
| url | http://umpir.ump.edu.my/id/eprint/8441/1/fkee-2012-rosyati-Detection_And_Summation.pdf http://umpir.ump.edu.my/id/eprint/8441/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6530556&queryText%3DDetection+And+Summation+Of+Pus+Cells+And+Epithelial+Cells+For+Sputum+Quality+Grading+Using+K-Means+Clustering+And+Color+Thresholding |
| url_provider | http://umpir.ump.edu.my/ |