Deep learning image segmentation reveals patterns of UV reflectance evolution in passerine birds

He, Y., Varley, Z., Moody, C. et al. (5 more authors) (2022) Deep learning image segmentation reveals patterns of UV reflectance evolution in passerine birds. Nature Communications, 13. 5068. ISSN 2041-1723

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Copyright, Publisher and Additional Information: © The Author(s) 2022. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Biodiversity; Evolutionary ecology; Image processing; Machine learning; Phylogenetics
Dates:
  • Accepted: 8 August 2022
  • Published (online): 29 August 2022
  • Published: 29 August 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
NATURAL ENVIRONMENT RESEARCH COUNCILNE/T01105X/1
European Research Council615709
Depositing User: Symplectic Sheffield
Date Deposited: 16 Sep 2022 08:22
Last Modified: 16 Sep 2022 08:22
Status: Published
Publisher: Nature Research (part of Springer Nature)
Refereed: Yes
Identification Number: https://doi.org/10.1038/s41467-022-32586-5
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