Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
Gündel S, Setio AA, Grbic S, Maier A, Comaniciu D (2021)
Publication Type: Conference contribution
Publication year: 2021
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Pages Range: 288-
Conference Proceedings Title: Informatik aktuell
Event location: Regensburg
ISBN: 9783658331979
DOI: 10.1007/978-3-658-33198-6_68
Authors with CRIS profile
How to cite
APA:
Gündel, S., Setio, A.A., Grbic, S., Maier, A., & Comaniciu, D. (2021). Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 288-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
MLA:
Gündel, Sebastian, et al. "Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation." Proceedings of the German Workshop on Medical Image Computing, 2021, Regensburg Ed. Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2021. 288-.
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