14 September 1993 Advances in automated lung segmentation in CT studies
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Abstract
In this paper, we address the problem of lungs segmentation in high resolution CT studies. Specifically, we present three segmentation method based on (1) self-adaptive erosion, (2) connection cost and the topographical skeleton by influence zones, and (3) active contour modeling. These methods are shown to provide consistent theoretical and practical tools for solving the difficult problem in hand.
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Francoise J. Preteux, Philippe Grenier, Pierre Vanier, "Advances in automated lung segmentation in CT studies", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154519; https://doi.org/10.1117/12.154519
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