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Ensemble learning for robust knee cartilage segmentation: data from the osteoarthritis initiative
View ORCID ProfileEdward J Peake, Raphael Chevasson, View ORCID ProfileStefan Pszczolkowski, View ORCID ProfileDorothee P Auer, Christoph Arthofer
doi: https://doi.org/10.1101/2020.09.01.267872
Edward J Peake
1NIHR Nottingham Biomedical Research Centre, QMC, University of Nottingham, UK
2Hubert Curien Laboratory, Univ. Lyon, UJM-Saint-Etienne, CNRS, Institut d’Optique Graduate School, France
3Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, UK
Raphael Chevasson
2Hubert Curien Laboratory, Univ. Lyon, UJM-Saint-Etienne, CNRS, Institut d’Optique Graduate School, France
Stefan Pszczolkowski
3Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, UK
Dorothee P Auer
1NIHR Nottingham Biomedical Research Centre, QMC, University of Nottingham, UK
3Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, UK
4Sir Peter Mansfield Imaging Centre, University of Nottingham, UK
Christoph Arthofer
1NIHR Nottingham Biomedical Research Centre, QMC, University of Nottingham, UK
3Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, UK
4Sir Peter Mansfield Imaging Centre, University of Nottingham, UK
Posted September 01, 2020.
Ensemble learning for robust knee cartilage segmentation: data from the osteoarthritis initiative
Edward J Peake, Raphael Chevasson, Stefan Pszczolkowski, Dorothee P Auer, Christoph Arthofer
bioRxiv 2020.09.01.267872; doi: https://doi.org/10.1101/2020.09.01.267872
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