Multi-center polyp segmentation with double encoder-decoder networks
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Galdran, Adrian
- dc.contributor.author Carneiro, Gustavo
- dc.contributor.author González Ballester, Miguel Ángel, 1973-
- dc.date.accessioned 2023-02-07T07:07:45Z
- dc.date.available 2023-02-07T07:07:45Z
- dc.date.issued 2021
- dc.description.abstract Polyps are among the earliest sign of Colorectal Cancer, with their detection and segmentation representing a key milestone for automatic colonoscopy analysis. This works describes our solution to the EndoCV 2021 challenge, within the sub-track of polyp segmentation. We build on our recently developed framework of pretrained double encoder-decoder networks, which has achieved state-of-the-art results for this task, but we enhance the training process to account for the high variability and heterogeneity of the data provided in this competition. Specifically, since the available data comes from six different centers, it contains highly variable resolutions and image appearances. Therefore, we introduce a center-sampling training procedure by which the origin of each image is taken into account for deciding which images should be sampled for training. We also increase the representation capability of the encoder in our architecture, in order to provide a more powerful encoding step that can better capture the more complex information present in the data. Experimental results are promising and validate our approach for the segmentation of polyps in a highly heterogeneous data scenarios.
- dc.description.sponsorship Adrian Galdran was funded by a Marie Skłodowska-Curie Global Fellowship (No 892297).
- dc.format.mimetype application/pdf
- dc.identifier.citation Galdran A, Carneiro G, González Ballester MA. Multi-center polyp segmentation with double encoder-decoder networks. CEUR Workshop Proc. 2021;2886:9-16.
- dc.identifier.issn 1613-0073
- dc.identifier.uri http://hdl.handle.net/10230/55637
- dc.language.iso eng
- dc.publisher CEUR Workshop Proceedings
- dc.relation.ispartof CEUR Workshop Proceedings. 2021;2886:9-16.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/892297
- dc.rights © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0
- dc.subject.keyword polyp segmentation
- dc.subject.keyword multi-center data
- dc.subject.keyword double encoder-decoders
- dc.title Multi-center polyp segmentation with double encoder-decoder networks
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion