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    • Semantic fine-tuning and cross-modal retrieval-augmented Chinese medical report generation

    • New progress has been made in the field of medical report generation, and experts have proposed a Chinese medical report generation model FRCM based on semantic fine-tuning and cross modal retrieval enhancement, which effectively improves model performance and provides a solution for generating more detailed and accurate Chinese medical reports.
    • Vol. 30, Issue 5, Pages: 1286-1302(2025)   

      Received:12 August 2024

      Revised:2024-11-12

      Published:16 May 2025

    • DOI: 10.11834/jig.240451     

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  • Li Hengtai, Liu Hui, Chen Gongguan, Yan Zishen, Sheng Yurui, Zhang Caiming. 2025. Semantic fine-tuning and cross-modal retrieval-augmented Chinese medical report generation. Journal of Image and Graphics, 30(5):1286-1302 DOI: 10.11834/jig.240451.
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相关作者

Li Hengtai 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室(山东财经大学)
Liu Hui 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室(山东财经大学)
Chen Gongguan 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室(山东财经大学)
Yan Zishen 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室(山东财经大学)
Sheng Yurui 山东第一医科大学第一附属医院放射科
Zhang Caiming 山东省数字经济轻量智算与可视化重点实验室(山东财经大学);山东大学软件学院
Zhao Yang 合肥工业大学计算机与信息学院
Zhang Zhao 合肥工业大学计算机与信息学院

相关机构

School of Computer and Artificial Intelligence, Shandong University of Finance and Economics
Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy (Shandong University of Finance and Economics)
Radiology Department of the First Affiliated Hospital of Shandong First Medical University
School of Software, Shandong University
Anhui Province Key Laboratory of Industry Safety and Emergency Technology (Hefei University of Technology)
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