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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：2024-12-17，

      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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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
Shao Yanhua 西南科技大学信息与控制工程学院
Chen Huiling 西南科技大学信息与控制工程学院
Fu Gui 西南科技大学信息与控制工程学院;中国民用航空飞行学院飞行技术学院

相关机构

The Fourth Clinical College of Guangzhou University of Chinese Medicine
School of Information and Control Engineering， Southwest University of Science and Technology
School of Flight Technology， Civil Aviation Flight College of China
School of Computer Science and Engineering， Sichuan Light Chemical Engineering University
School of National Defense Science and Technology， Southwest University of Science and Technology
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