Training of respiratory motion models and population-based patient phantoms of the lung often requires the definition of the entire lung cavity region in the 4D-CT. To ease the workload of clinical experts, automatic selection is highly desirable. Many lung cavity extraction methods rely on a pre-segmented lung volume.
CITATION STYLE
Khdeir, A., Geimer, T., Chen, S., Goppert, E., Dankbar, M., Bert, C., & Maier, A. (2018). Assessment of segmentation dependence in macroscopic lung cavity extraction. In Informatik aktuell (Vol. 0, p. 16). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-662-56537-7_14
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