Abstract

Lung cancer becomes one of the diseases with a high mortality rate. The identification of lung nodules as a representation of lung cancer becomes a very important part. One method of identifying lung nodules is to segment the lung areas. Increased performance of segmentation is a thing that developed by experts. This research is a preliminary study that develops one of the lung nodule identification techniques by determining its centroid. This centroid will give information how accurate the segmentation method is. The best segmentation method so far gives the smallest value shift of centroid to the ground truth. In determining the central point of the lung nodule, lung cancer CT image is segmented using three different methods namely edge active contour, active base region contour and growing region. The segmented area is then analyzed using a moment analysis that expressed by the center of mass. Center of mass represents centroid coordinates. The coordinate shift between ground truth and suspected nodule coordinates expressed by the standard error value and euclidian distance in pixels. The smallest shift gives a smallest standard error and Euclidean distance. The results showed that the region growing method resulted in 0.004327182 for standard error value and 3.821609503 for a euclidian distance which is smallest than others segmentation methods.

Original languageEnglish
Title of host publication2018 International Conference on Intelligent Autonomous Systems, ICoIAS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-71
Number of pages5
ISBN (Electronic)9781538663295
DOIs
Publication statusPublished - 16 Oct 2018
Event2018 International Conference on Intelligent Autonomous Systems, ICoIAS 2018 - Singapore, Singapore
Duration: 1 Mar 20183 Mar 2018

Publication series

Name2018 International Conference on Intelligent Autonomous Systems, ICoIAS 2018

Conference

Conference2018 International Conference on Intelligent Autonomous Systems, ICoIAS 2018
Country/TerritorySingapore
CitySingapore
Period1/03/183/03/18

Keywords

  • Centroid
  • Edge Active Contour
  • Moment Analysis
  • Region Base Active Contour
  • region Growing

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