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Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging

We propose a Geometric unsupervised matching Network (Gum-Net) for finding the geometric correspondence between two images with application to 3D subtomogram alignment and averaging. Subtomogram alignment is the most important task in cryo-electron tomography (cryo-ET), a revolutionary 3D imaging te...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit
Prif Awduron: Zeng, Xiangrui, Xu, Min
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2020
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7955792/
https://ncbi.nlm.nih.gov/pubmed/33716478
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/cvpr42600.2020.00413
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