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Authors: Benita Mackay 1 ; Sophie Blundell 2 ; Olivia Etter 3 ; Yunhui Xie 1 ; Michael McDonnel 1 ; Matthew Praeger 1 ; James Grant-Jacob 1 ; Robert Eason 1 ; Rohan Lewis 3 and Ben Mills 1

Affiliations: 1 Optoelectronics Research Centre, University of Southampton, Southampton, U.K. ; 2 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, U.K. ; 3 Faculty of Medicine, University of Southampton, Southampton, U.K.

ISBN: 978-989-758-398-8

ISSN: 2184-4305

Keyword(s): 3D Image Processing, Deep Learning, SBFSEM Images, Placenta.

Abstract: Analysis of fibroblasts within placenta is necessary for research into placental growth-factors, which are linked to lifelong health and chronic disease risk. 2D analysis of fibroblasts can be challenging due to the variation and complexity of their structure. 3D imaging can provide important visualisation, but the images produced are extremely labour intensive to construct because of the extensive manual processing required. Machine learning can be used to automate the labelling process for faster 3D analysis. Here, a deep neural network is trained to label a fibroblast from serial block face scanning electron microscopy (SBFSEM) placental imaging.

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Paper citation in several formats:
Mackay, B.; Blundell, S.; Etter, O.; Xie, Y.; McDonnel, M.; Praeger, M.; Grant-Jacob, J.; Eason, R.; Lewis, R. and Mills, B. (2020). Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING, ISBN 978-989-758-398-8, ISSN 2184-4305, pages 46-53. DOI: 10.5220/0008949700460053

@conference{bioimaging20,
author={Benita S. Mackay. and Sophie Blundell. and Olivia Etter. and Yunhui Xie. and Michael D. T. McDonnel. and Matthew Praeger. and James Grant{-}Jacob. and Robert Eason. and Rohan Lewis. and Ben Mills.},
title={Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING,},
year={2020},
pages={46-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008949700460053},
isbn={978-989-758-398-8},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING,
TI - Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning
SN - 978-989-758-398-8
AU - Mackay, B.
AU - Blundell, S.
AU - Etter, O.
AU - Xie, Y.
AU - McDonnel, M.
AU - Praeger, M.
AU - Grant-Jacob, J.
AU - Eason, R.
AU - Lewis, R.
AU - Mills, B.
PY - 2020
SP - 46
EP - 53
DO - 10.5220/0008949700460053

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