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: Rosyati, Hamid, Faradila, Naim, Nurul Wahidah, Arshad, Zeehaida, Mohamed
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
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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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.. http://dx.doi.org/10.1109/ICECCO.2013.6718214
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
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
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
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
title Automated Detection And Counting Of Pus Cells On Sputum Images
title_short 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_sort automated detection and counting of pus cells on sputum images
publishDate 2013
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
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score 13.222552