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Segmentation of Lung Tumor in CT Images using Graph Cuts

Affiliations

  • Department of Electronics and Communication Engineering, Velammal Engineering College, Ambattur-Red Hills Road, Velammal Nagar, Chennai - 600066, Tamil Nadu, India
  • Department of Electronics and Communication Engineering, Vel Tech, #42 Avadi-Vel Tech Road, Avadi, Chennai,Tamil Nadu, India

Abstract


Background/Objectives: The goal of this method is to obtain optimal segmentation by minimizing the energy using max- flow. Methods/Statistical Analysis: Image segmentation is partitioning the image based on similarities. The noise and low contrast in Computed Tomography (CT) images makes the segmentation process difficult. Thus the physiological information from CT image is integrated using the graph cut method to get high contrast and good boundaries. Findings: The graph cut method provides the shape term and region term to locate the tumor site. Improvements/Applications: Graph cut approach solves binary problems.

Keywords

Computed Tomography, Energy Minimization, Graph Cut, Image Segmentation

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References


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