%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