Automated Detection And Counting Of Pus Cells On Sputum Images
his paper discusses on a feature extraction of pus cell in sputum slide image. This invention is developed to analyze and count the content of cells specifically pus cell within a biological sample, and more particularly sputum sample which is useful for sputum quality grading. This pus cell detecti...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2013
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6330/1/Automated_Detection_And_Counting_Of_Pus_Cells_On_Sputum_Images.pdf http://umpir.ump.edu.my/id/eprint/6330/ http://dx.doi.org/10.1109/ICECCO.2013.6718214 |
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| _version_ | 1831521932123570176 |
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| author | Rosyati, Hamid Faradila, Naim Nurul Wahidah, Arshad Zeehaida, Mohamed |
| author_facet | Rosyati, Hamid Faradila, Naim Nurul Wahidah, Arshad Zeehaida, Mohamed |
| 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 | his paper discusses on a feature extraction of pus cell in sputum slide image. This invention is developed to analyze and count the content of cells specifically pus cell within a biological sample, and more particularly sputum sample which is useful for sputum quality grading. This pus cell detection is addressed by mean intensity and area for single and overlapping pus cells. It is found that mean intensity and area for single pus cell are ranges from 130-163 and 35-81 respectively. Whereas, with considering other elements exist in sputum image such as epithelial cells and artifacts, the mean intensity for overlapping pus cells are ranges from 130-45 with area of 65-300. This system has the sensitivity of 92.11%, with specificity of 81.82%, accuracy of 87.32% and precision of 85.37. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.6330 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2013 |
| record_format | eprints |
| spelling | my.ump.umpir.63302018-05-02T03:10:56Z http://umpir.ump.edu.my/id/eprint/6330/ Automated Detection And Counting Of Pus Cells On Sputum Images Rosyati, Hamid Faradila, Naim Nurul Wahidah, Arshad Zeehaida, Mohamed TK Electrical engineering. Electronics Nuclear engineering his paper discusses on a feature extraction of pus cell in sputum slide image. This invention is developed to analyze and count the content of cells specifically pus cell within a biological sample, and more particularly sputum sample which is useful for sputum quality grading. This pus cell detection is addressed by mean intensity and area for single and overlapping pus cells. It is found that mean intensity and area for single pus cell are ranges from 130-163 and 35-81 respectively. Whereas, with considering other elements exist in sputum image such as epithelial cells and artifacts, the mean intensity for overlapping pus cells are ranges from 130-45 with area of 65-300. This system has the sensitivity of 92.11%, with specificity of 81.82%, accuracy of 87.32% and precision of 85.37. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6330/1/Automated_Detection_And_Counting_Of_Pus_Cells_On_Sputum_Images.pdf Rosyati, Hamid and Faradila, Naim and Nurul Wahidah, Arshad and Zeehaida, Mohamed (2013) Automated Detection And Counting Of Pus Cells On Sputum Images. In: Electronics, Computer and Computation (ICECCO) , 7-9 Nov. 2013 , Ankara. pp. 5-8.. (Published) http://dx.doi.org/10.1109/ICECCO.2013.6718214 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Rosyati, Hamid Faradila, Naim Nurul Wahidah, Arshad Zeehaida, Mohamed Automated Detection And Counting Of Pus Cells On Sputum Images |
| title | Automated Detection And Counting Of Pus Cells On Sputum Images |
| title_full | Automated Detection And Counting Of Pus Cells On Sputum Images |
| title_fullStr | Automated Detection And Counting Of Pus Cells On Sputum Images |
| title_full_unstemmed | Automated Detection And Counting Of Pus Cells On Sputum Images |
| title_short | Automated Detection And Counting Of Pus Cells On Sputum Images |
| title_sort | automated detection and counting of pus cells on sputum images |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/6330/1/Automated_Detection_And_Counting_Of_Pus_Cells_On_Sputum_Images.pdf http://umpir.ump.edu.my/id/eprint/6330/ http://dx.doi.org/10.1109/ICECCO.2013.6718214 |
| url_provider | http://umpir.ump.edu.my/ |