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"Artifact-driven sampling schemes for robust female pelvis CBCT ..."

Annika Hänsch et al. (2019)

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DOI: 10.1117/12.2512727

access: closed

type: Conference or Workshop Paper

metadata version: 2023-02-12

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  - conf/micad/HanschD0MHH19
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Annika Hänsch, Volker Dicken, Jan Klein, Tomasz Morgas, Benjamin Haas, Horst K. Hahn:
Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning. Medical Imaging: Computer-Aided Diagnosis 2019: 109500T

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