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Computed tomography (CT) technology helps us to acquire high resolution, isotropic images of the lungs in a single breath hold. Analysis of these large volumes of data manually is very time consuming and tedious. Automation of analysis of the CT images is therefore vital in the study of CT images. This paper reviews the literature on computer analysis of the lungs in CT scans addressing segmentation of various lungs anatomical structures and works on detection and quantification of chest abnormalities.