A hybrid multi-scale approach to automatic airway tree segmentation from CT scans
10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7–11 April 2013, San Francisco, CA, USA, Proceedings, pp. 1308–1311
Abstract
An abstract is not available in the lab archive. View the paper at its source.
This 2013 ISBI conference paper presents a hybrid multi-scale approach to segmenting airway trees in computed tomography scans. The proceedings record lists four authors and pages 1308–1311.
Summary
The paper addresses automatic segmentation of airway trees in computed tomography (CT) scans. Its abstract describes a hybrid, multi-scale method based on fuzzy connectivity, combining multiple features to identify airways at different scales. The verified record establishes the paper’s topic and method, but the available source did not provide the complete abstract or enough information to summarize its evaluation and limitations. View the paper record and DOI.
Cite this work
Ziyue Xu; Ulas Bagci; Brent Foster; Daniel J. Mollura (2013). A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7–11 April 2013, San Francisco, CA, USA, Proceedings, pp. 1308–1311 https://doi.org/10.1109/ISBI.2013.6556772
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