Proceedings Paper
Advances in automated lung segmentation in CT studies| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 14 September 1993
PDF: 12 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154519
Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)
PDF: 12 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154519
Show Author Affiliations
Francoise J. Preteux, Telecom Paris (France)
Philippe Grenier M.D., Hopital de la Salpetriere (France)
Philippe Grenier M.D., Hopital de la Salpetriere (France)
Pierre Vanier, Telecom Paris (France)
Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)
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