Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring

Durlak F, Wels M, Schwemmer C, Sühling M, Steidl S, Maier A (2017)

Publication Type: Conference contribution

Publication year: 2017

Publisher: Springer International Publishing

Series: LNCS

City/Town: Berlin

Book Volume: 10541

Pages Range: 27-35

Conference Proceedings Title: Machine Learning in Medical Imaging

Event location: Québec City, QC, Canada

ISBN: 978-3-319-67388-2

URI: https://link.springer.com/chapter/10.1007/978-3-319-67389-9_4

DOI: 10.1007/978-3-319-67389-9

Authors with CRIS profile

Stefan Steidl Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens Healthineers DE Germany (DE) Siemens AG, Healthcare Sector DE Germany (DE)

How to cite

APA:

Durlak, F., Wels, M., Schwemmer, C., Sühling, M., Steidl, S., & Maier, A. (2017). Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring. In Machine Learning in Medical Imaging (pp. 27-35). Québec City, QC, Canada: Berlin: Springer International Publishing.

MLA:

Durlak, Felix, et al. "Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring." Proceedings of the 8th International Workshop MICCAI-MLMI 2017, Québec City, QC, Canada Berlin: Springer International Publishing, 2017. 27-35.

BibTeX: Download