A Fast and Flexible Thinning Algorithm
IEEE Transactions on Computers
Digital image processing
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Journal of Data and Information Quality (JDIQ)
Journal of Medical Systems
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The automated extraction of the pulmonary parenchyma in CT images is the most crucial step in a computer-aided diagnosis (CAD) system. Actually, the following step of analysis of the lung's internal structure, aimed at lesion detection and diagnosis, works on the identified pulmonary regions.In this paper we describe a method, consisting of an appropriate combination of image processing techniques, for the automated identification of the pulmonary volume. We present and discuss the results of the method application to computed-tomography (CT) examinations performed in a screening program for early detection of lung cancer.