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Various Techniques Used for Segmentation of CT Image of Lungs


Author : Pareesha Aggarwal, Abhishek Bhardwaj and Rishi Kumar

Pages : 196-199
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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.

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

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.1 (March- 2013)

 

 

 

 

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