Extraction of sputum cells using thresholding techniques for lung cancer detection

Fatm Taher, Naoufel Werghi, Hussain Al-Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper deals with an improved version of a filtering thresholding algorithm for extracting the sputum cell from the raw sputum image for lung cancer early detection. In this method the problem is viewed as a segmentation problem focusing on the extraction of such sputum cells from the images. This will be done by segmenting the image into sputum cell region which includes the nuclei, cytoplasm and the background that includes all the rest. These cells can then be analyzed to see if they are cancerous or not. A database with hundred of sputum color images from normal and abnormal subjects that prepared by the Papanicalaou standard staining method were used. These images were used in testing the new algorithm and the results were compared with the ground truth image of extracted sputum cells. It was noted that the new algorithm offered better extraction results than the previous work. It succeeded in extracting the nuclei and cytoplasm regions. Moreover, it succeeded in determining the best range of thresholding values.

Original languageBritish English
Title of host publication2012 International Conference on Innovations in Information Technology, IIT 2012
Pages36-41
Number of pages6
DOIs
StatePublished - 2012
Event2012 International Conference on Innovations in Information Technology, IIT 2012 - Abu Dhabi, Al-Ain, United Arab Emirates
Duration: 18 Mar 201220 Mar 2012

Publication series

Name2012 International Conference on Innovations in Information Technology, IIT 2012

Conference

Conference2012 International Conference on Innovations in Information Technology, IIT 2012
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi, Al-Ain
Period18/03/1220/03/12

Keywords

  • Image Segmentation
  • Lung Cancer Detection
  • Sputum Cellse
  • Threshold Filtering Algorithm

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