%0 Journal Article
	%A Nisar Ahmed Memon and  Anwar Majid Mirza and  S.A.M. Gilani
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 20, 2008
	%T Deficiencies of Lung Segmentation Techniques using CT Scan Images for CAD
	%U https://publications.waset.org/pdf/6510
	%V 20
	%X Segmentation is an important step in medical image
analysis and classification for radiological evaluation or computer
aided diagnosis. This paper presents the problem of inaccurate lung
segmentation as observed in algorithms presented by researchers
working in the area of medical image analysis. The different lung
segmentation techniques have been tested using the dataset of 19
patients consisting of a total of 917 images. We obtained datasets of
11 patients from Ackron University, USA and of 8 patients from
AGA Khan Medical University, Pakistan. After testing the algorithms
against datasets, the deficiencies of each algorithm have been
highlighted.
	%P 2764 - 2769