CORRECTION article
Front. Mar. Sci.
Sec. Ocean Observation
Volume 12 - 2025 | doi: 10.3389/fmars.2025.1697558
Machine learning for improved size estimation of complex marine particles from noisy holographic images
Provisionally accepted- 1School of Computing, Engineering and Technology, Robert Gordon University, Aberdeen, United Kingdom
- 2Ocean BioGeosciences, National Oceanography Centre, University of Southampton, Southampton, United Kingdom
- 3Division of Oceanography, Center for Scientific Research and Higher Education of Ensenada, Ensenada, Mexico
- 4School of Engineering, University of Aberdeen, Aberdeen, United Kingdom
- 5School of Biological and Marine Sciences, University of Plymouth, Plymouth, United Kingdom
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Correction: Machine learning for improved size estimation of complex marine particles from noisy holographic images Correction on: Liu Z, Takeuchi M, Contreras Y, Thevar T, Nimmo-Smith A, Watson J and Giering SLC (2025) Machine learning for improved size estimation of complex marine particles from noisy holographic images. Front. Mar. Sci. 12:1587939. doi: 10.3389/fmars.2025.1587939. Error in figure/table Wrong content There was a mistake in Table 2 as published. Some rows are mixed up. The corrected Table 2 appears below. Class Aggrega te Asterion el-a Chaetoc eros chain Chaetoc eros socialis Chainthi n Ciliopho ra Copepo d Corethr on Cylinder Detritus Image Label-region Label-edge Class Dinoflag ellates Eucamp ia antarcti ca Fecal pellets Fragilari opsis Nauplii Pennate Round Square Thalassi osira Thalassi othrix Image Label-region Label-edge
Keywords: subsea digital holography, hologram processing, machine learning, Size estimation, particle size distributions
Received: 02 Sep 2025; Accepted: 03 Sep 2025.
Copyright: © 2025 Liu, Takeuchi, Contreras, THEVAR, Nimmo-Smith, Watson and Giering. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zonghua Liu, School of Computing, Engineering and Technology, Robert Gordon University, Aberdeen, United Kingdom
Sarah L. C. Giering, Ocean BioGeosciences, National Oceanography Centre, University of Southampton, Southampton, United Kingdom
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