Various Techniques Used for Segmentation of CT Image of Lungs

Authors

  • Pareesha Aggarwala Amity School of Engineering and Technology, Amity University, Noida, India Author
  • Abhishek Bhardwaja Amity School of Engineering and Technology, Amity University, Noida, India Author
  • Rishi Kumara Amity School of Engineering and Technology, Amity University, Noida, India Author

Keywords:

CT, computer aided detection, pulmonary nodule, segmentation, GGN, Thresholding, Region Based, Fuzzy C-Mean

Abstract

Segmentation of images plays a vital role in designing various computer aided detection system in medical world. Large number of computer aided system has been proposed by researchers to assist the doctors and physicians to diagnose their patients more efficiently. In designing these systems, the segmentation of image one of the image processing technique acts as a very important part and the computer tomography (CT) images provide a very good technology for detection of lesion. This paper presents a review of the literature from 1989 – 2010 on various techniques used for segmentation of CT images of lungs. These techniques can be used for segmentation of lungs CT images in automated detection of pulmonary nodules in lungs cancer patients.

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Published

2013-03-31

Issue

Vol.3, No.1 (Jan/Mar 2013)

Section

Articles

How to Cite

Various Techniques Used for Segmentation of CT Image of Lungs. (2013). International Journal of Current Engineering and Technology, 3(1), 196-196. https://ijcet.evegenis.org/index.php/ijcet/article/view/148