Computer-aided Detection and Analysis of Pulmonary Nodule from CT Images: A Survey

Abstract The pulmonary nodules are the most common manifestation of lung cancer. Computer tomography (CT) images provide a very good technology for pulmonary nodule detection because of the thin-slice chest scan. This large number of thin-slice leads to the development of the computer-aided detection and analysis system for pulmonary nodule to assist radiologists. This paper presents a review of the literature from 1998-2010 on automated detection of pulmonary nodule including methods of false positive reduction, nodule characterization, and volumetric analysis of segmented nodule. In addition, research trends and challenges are identified and directions for future research are discussed.

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