Toward Few Pixel Annotations for 3D Segmentation of Material from Electron Tomography

Cyril Li, Christophe Ducottet, Sylvain Desroziers, Maxime Moreaud

2023

Abstract

Segmentation is a notorious tedious task, especially for 3D volume of material obtained via electron tomography. In this paper, we propose a new method for the segmentation of such data with only few partially labeled slices extracted from the volume. This method handles very restricted training data, and particularly less than a slice of the volume. Moreover, unlabeled data also contributes to the segmentation. To achieve this, a combination of self-supervised and contrastive learning methods are used on top of any 2D segmentation backbone. This method has been evaluated on three real electron tomography volumes.

Paper Citation

in Harvard Style

Li C., Ducottet C., Desroziers S. and Moreaud M. (2023). Toward Few Pixel Annotations for 3D Segmentation of Material from Electron Tomography. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 124-131. DOI: 10.5220/0011658500003417

in Bibtex Style

@conference{visapp23,
author={Cyril Li and Christophe Ducottet and Sylvain Desroziers and Maxime Moreaud},
title={Toward Few Pixel Annotations for 3D Segmentation of Material from Electron Tomography},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={124-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011658500003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - Toward Few Pixel Annotations for 3D Segmentation of Material from Electron Tomography
SN - 978-989-758-634-7
AU - Li C.
AU - Ducottet C.
AU - Desroziers S.
AU - Moreaud M.
PY - 2023
SP - 124
EP - 131
DO - 10.5220/0011658500003417
PB - SciTePress