Generation of annotated multimodal ground truth datasets for abdominal medical image registration.

Dominik F BauerTom RussBarbara I WaldkirchChristian TönnesWilliam P SegarsLothar R SchadFrank G ZöllnerAlena-Kathrin Golla

Published in: International journal of computer assisted radiology and surgery (2021)

Our proposed framework provides not only annotated but also multimodal synthetic data which can serve as a ground truth for various tasks in medical imaging processing. We demonstrated the applicability of synthetic data for the development of multimodal medical image registration algorithms.

Keyphrases

healthcare
deep learning
pain management
electronic health record
machine learning
big data
high resolution
data analysis
mass spectrometry