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    • Fusion of image enhancement and self-attention mechanism for the generation of active pulmonary tuberculosis CT image data

    • In the field of medical imaging, experts have proposed a data generation method that combines image enhancement and self attention mechanisms, effectively improving the quality of active pulmonary tuberculosis imaging data generation.
    • Vol. 30, Issue 7, Pages: 2558-2569(2025)   

      Received:18 September 2024

      Revised:17 December 2024

      Published:16 July 2025

    • DOI: 10.11834/jig.240518     

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  • Li Tianhu, He Zhiqin, He Li, Zhang Wei, Huang Zhongfeng. 2025. Fusion of image enhancement and self-attention mechanism for the generation of active pulmonary tuberculosis CT image data. Journal of Image and Graphics, 30(7):2558-2569 DOI: 10.11834/jig.240518.
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相关作者

LI Tianhu 贵州大学 电气工程学院
HE Zhiqin 贵州大学 电气工程学院
HE Li 广州中医药大学第四临床医学院
ZHANG Wei 贵阳市公共卫生救治中心
HUANG Zhongfeng 贵阳市公共卫生救治中心
Ma Yuzhuo 北京航空航天大学计算机学院
Zhang Yongfei 北京航空航天大学计算机学院
Jia Wei 合肥工业大学计算机与信息学院

相关机构

The Fourth Clinical College of Guangzhou University of Chinese Medicine
Pengcheng Laboratory
School of Computer Science and Engineering, Beihang University
School of Computer Science and Information Engineering, Hefei University of Technology
Wangxuan Institute of Computer Technology, Peking University
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