New disagreement metrics incorporating spatial detail – applications to lung imaging

Biancardi, A.M. and Wild, J.M. orcid.org/0000-0002-7246-8660 (2017) New disagreement metrics incorporating spatial detail – applications to lung imaging. In: Valdés Hernández, M. and González-Castro, V., (eds.) Medical Image Understanding and Analysis. 21st Annual Conference on Medical Image Understanding and Analysis, July 11–13, 2017, Edinburgh, UK. Communications in Computer and Information Science (723). Springer , pp. 804-814. ISBN 9783319609638

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Copyright, Publisher and Additional Information: © 2017 Springer. This is an author produced version of a paper subsequently published in Communications in Computer and Information Science. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/10.1007/978-3-319-60964-5_70
Keywords: Disagreement; Evaluation metrics; Segmentation; Medical images; Lung MRI
Dates:
  • Published (online): 22 June 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Infection, Immunity and Cardiovascular Disease
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
NATIONAL INSTITUTE FOR HEALTH RESEARCHNIHR-RP-R3-12-027
MEDICAL RESEARCH COUNCILMR/M008894/1
MEDICAL RESEARCH COUNCILMR/M008894/1
Depositing User: Symplectic Sheffield
Date Deposited: 22 Aug 2017 15:17
Last Modified: 22 Aug 2017 21:29
Published Version: https://doi.org/10.1007/978-3-319-60964-5_70
Status: Published
Publisher: Springer
Series Name: Communications in Computer and Information Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-60964-5_70

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