April 19, 2024, 4:45 a.m. | Yuxuan Shi, Jun Xu, Dinggang Shen

cs.CV updates on arXiv.org arxiv.org

arXiv:2311.09590v2 Announce Type: replace-cross
Abstract: Cone Beam Computed Tomography (CBCT) plays a key role in dental diagnosis and surgery. However, the metal teeth implants could bring annoying metal artifacts during the CBCT imaging process, interfering diagnosis and downstream processing such as tooth segmentation. In this paper, we develop an efficient Transformer to perform metal artifacts reduction (MAR) from dental CBCT images. The proposed MAR Transformer (MARformer) reduces computation complexity in the multihead self-attention by a new Dimension-Reduced Self-Attention (DRSA) module, …

abstract artifact arxiv cs.cv dental diagnosis eess.iv however images imaging key metal paper process processing role segmentation surgery transformer type

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