- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Shallow and reverse attention network for colon polyp segmentation ; volume:13 ; number:1 ; day:14 ; month:9 ; year:2023 ; pages:1-12 ; date:12.2023
Scientific reports ; 13, Heft 1 (14.9.2023), 1-12, 12.2023
- Creator
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Lee, Go-Eun
Cho, Jungchan
Choi, Sang-II
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-42436-z
- URN
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urn:nbn:de:101:1-2024020808505482208096
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:25 AM CEST
Data provider
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Associated
- Lee, Go-Eun
- Cho, Jungchan
- Choi, Sang-II
- SpringerLink (Online service)
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Using DUCK-Net for polyp image segmentation
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Rethinking Polyp Segmentation From An Out-of-distribution Perspective
A lighter hybrid feature fusion framework for polyp segmentation
Unravelling the effect of data augmentation transformations in polyp segmentation
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Dual ensemble system for polyp segmentation with submodels adaptive selection ensemble
Polyp segmentation based on implicit edge-guided cross-layer fusion networks
Squeeze and multi-context attention for polyp segmentation
Semantic Polyp Generation for Improving Polyp Segmentation Performance
NA-segformer: A multi-level transformer model based on neighborhood attention for colonoscopic polyp segmentation
Using DUCK-Net for polyp image segmentation
Video Polyp Segmentation: A Deep Learning Perspective
A differential network with multiple gated reverse attention for medical image segmentation
Rethinking Polyp Segmentation From An Out-of-distribution Perspective
A lighter hybrid feature fusion framework for polyp segmentation
Unravelling the effect of data augmentation transformations in polyp segmentation
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM
Dual ensemble system for polyp segmentation with submodels adaptive selection ensemble