Deficiencies of lung segmentation technology using CT scan images for CAD

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 test 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 received from Agha Khan Medical University, Karachi. After testing the algorithms against datasets, the deficiencies of each algorithm have been highlighted. (author)