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Marker-based watershed transform method for fully automatic mandibular segmentation from low-dose CBCT images
Yi Fan, Richard Beare, Harold Matthews, Paul Schneider, Nicky Kilpatrick, John Clement, Peter Claes, Anthony Penington, Christopher Adamson
doi: https://doi.org/10.1101/397166
Yi Fan
1The University of Melbourne Department of Dentistry, Melbourne, Australia
2Murdoch Children’s Research Institute, Melbourne, Australia
Richard Beare
7Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, Australia
Harold Matthews
2Murdoch Children’s Research Institute, Melbourne, Australia
3The University of Melbourne Department of Paediatrics at the Royal Children’s Hospital, Melbourne, Australia
Paul Schneider
1The University of Melbourne Department of Dentistry, Melbourne, Australia
Nicky Kilpatrick
2Murdoch Children’s Research Institute, Melbourne, Australia
3The University of Melbourne Department of Paediatrics at the Royal Children’s Hospital, Melbourne, Australia
John Clement
1The University of Melbourne Department of Dentistry, Melbourne, Australia
2Murdoch Children’s Research Institute, Melbourne, Australia
4Cranfield University, England, UK
Peter Claes
2Murdoch Children’s Research Institute, Melbourne, Australia
5KU Leuven Department of Electrical Engineering, PSI, Leuven, Belgium
6Medical Imaging Research Center, Leuven, Belgium
Anthony Penington
2Murdoch Children’s Research Institute, Melbourne, Australia
3The University of Melbourne Department of Paediatrics at the Royal Children’s Hospital, Melbourne, Australia
Christopher Adamson
7Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, Australia
Article usage
Posted August 21, 2018.
Marker-based watershed transform method for fully automatic mandibular segmentation from low-dose CBCT images
Yi Fan, Richard Beare, Harold Matthews, Paul Schneider, Nicky Kilpatrick, John Clement, Peter Claes, Anthony Penington, Christopher Adamson
bioRxiv 397166; doi: https://doi.org/10.1101/397166
Marker-based watershed transform method for fully automatic mandibular segmentation from low-dose CBCT images
Yi Fan, Richard Beare, Harold Matthews, Paul Schneider, Nicky Kilpatrick, John Clement, Peter Claes, Anthony Penington, Christopher Adamson
bioRxiv 397166; doi: https://doi.org/10.1101/397166
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