Performance of single and multi-atlas based automated landmarking methods compared to expert annotations in volumetric microCT datasets of mouse mandibles
Crossref DOI link: https://doi.org/10.1186/s12983-015-0127-8
Published Online: 2015-12-01
Published Print: 2015-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Young, Ryan
Maga, A. Murat
Funding for this research was provided by:
National Institute of Dental and Craniofacial Research (5K99DE021417)
Text and Data Mining valid from 2015-12-01
Version of Record valid from 2015-12-01
Article History
Received: 28 August 2015
Accepted: 19 November 2015
First Online: 1 December 2015