He, Chloe;
Jacques, Celine;
Chambost, Jerome;
Malmsten, Jonas;
Wouters, Koen;
Freour, Thomas;
Zaninovic, Nikica;
... Vasconcelos, Francisco; + view all
(2022)
Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression.
In: Wang, L and Dou, Q and Fletcher, PT and Speidel, S and Li, S, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference. Proceedings, Part II.
(pp. pp. 732-742).
Springer: Cham, Switzerland.
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Abstract
In recent years, the field of embryo imaging has seen an influx of work using machine learning. These works take advantage of large microscopy datasets collected by fertility clinics as routine practice through relatively standardised imaging setups. Nevertheless, systematic variations still exist between datasets and can harm the ability of machine learning models to perform well across different clinics. In this work, we present Super-Focus, a method for correcting systematic variations present in embryo focal stacks by artificially generating focal planes. We demonstrate that these artificially generated planes are realistic to human experts and that using Super-Focus as a pre-processing step improves the ability of a cell instance segmentation model to generalise across multiple clinics.
| Type: | Proceedings paper |
|---|---|
| Title: | Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression |
| Event: | MICCAI 2022: 25th International Conference |
| ISBN-13: | 978-3-031-16433-0 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-031-16434-7_70 |
| Publisher version: | https://doi.org/10.1007/978-3-031-16434-7_70 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Domain adaptation, Super-resolution, Embryology, Microscopy |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10158894 |
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