Abstract
In the VISCERAL project, several Gold Corpus datasets containing medical imaging data and corresponding manual expert annotations have been created. These datasets were used for training and evaluation of participant algorithms in the VISCERAL Benchmarks. In addition to Gold Corpus datasets, the architecture of VISCERAL enables the creation of Silver Corpus annotations of far larger datasets, which are generated by the collective ensemble of submitted algorithms. In this chapter, three Gold Corpus datasets created for the VISCERAL Anatomy, Detection and Retrieval Benchmarks are described. Additionally, we present two datasets that have been created as a result of the anatomy and retrieval challenge.
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References
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Acknowledgements
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement 318068 (VISCERAL).
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Krenn, M. et al. (2017). Datasets Created in VISCERAL. In: Hanbury, A., Müller, H., Langs, G. (eds) Cloud-Based Benchmarking of Medical Image Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-49644-3_5
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