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    • Multi-scale attention encoder-decoder network for low-dose dental CBCT denoising

    • In the field of oral medicine, experts have proposed a low-dose CBCT image denoising network model based on multi-scale feature fusion and directional attention mechanism, which effectively reduces image noise and artifacts and provides a new solution for improving diagnostic accuracy.
    • Vol. 30, Issue 11, Pages: 3694-3706(2025)   

      Received:21 February 2025

      Revised:2025-04-08

      Accepted:15 April 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.250055     

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  • Zhang L, Chen S and Hua Y Y. 2025. Multi-scale attention encoder-decoder network for low-dose dental CBCT denoising. Journal of Image and Graphics, 30(11):3694-3706 DOI: 10.11834/jig.250055.
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相关作者

Zhu Jianhua 北京大学王选计算机研究所
Gao Liangcai 北京大学王选计算机研究所
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Peng Shuai 北京大学王选计算机研究所
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Wang Teng 淮阴工学院计算机与软件工程学院;江苏省可信固件与智能软件重点实验室
Gao Shangbing 淮阴工学院计算机与软件工程学院;江苏省可信固件与智能软件重点实验室

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