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Contrast Media & Molecular Imaging
Volume 2018 (2018), Article ID 2391925, 11 pages
https://doi.org/10.1155/2018/2391925
Research Article

Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods

1Department of Informatics, Technische Universität München, Munich, Germany
2Department of Nuclear Medicine, Klinikum Rechts der Isar, TU München, Munich, Germany
3Institute of Medical Engineering, Technische Universität München, Munich, Germany
4Department of Nuclear Medicine, Universität Würzburg, Würzburg, Germany

Correspondence should be addressed to Kuangyu Shi; ed.mut@ihs.k

Received 28 July 2017; Revised 29 November 2017; Accepted 12 December 2017; Published 8 January 2018

Academic Editor: Yun Zhou

Copyright © 2018 Lina Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Lina Xu, Giles Tetteh, Jana Lipkova, et al., “Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods,” Contrast Media & Molecular Imaging, vol. 2018, Article ID 2391925, 11 pages, 2018. doi:10.1155/2018/2391925