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
Abstract
Evaluation of medical image segmentation is increasingly important. While set-based agreement metrics are widespread, they assess the absolute overlap, but fail to account for any spatial information related to the differences or to the shapes being analyzed. In this paper, we propose a family of new metrics that can be tailored to deal with a broad class of assessment needs.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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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: |
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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: | Funder Grant number NATIONAL INSTITUTE FOR HEALTH RESEARCH NIHR-RP-R3-12-027 MEDICAL RESEARCH COUNCIL MR/M008894/1 MEDICAL RESEARCH COUNCIL MR/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: | 10.1007/978-3-319-60964-5_70 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120489 |