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    • Ultrasound image segmentation using SAM combined with counterfactual prompt and cascaded decoder

    • In the field of medical imaging, experts have proposed an improved SAMCD method that significantly improves the automatic segmentation performance of ultrasound medical images by optimizing the encoder, prompt generator, decoder, and training strategy.
    • Vol. 30, Issue 5, Pages: 1303-1317(2025)   

      Received:23 August 2024

      Revised:16 October 2024

      Published:16 May 2025

    • DOI: 10.11834/jig.240447     

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  • Huo Yiru, Feng Jun, Liu Na, Shi Yichen, Yin Mengying. 2025. Ultrasound image segmentation using SAM combined with counterfactual prompt and cascaded decoder. Journal of Image and Graphics, 30(5):1303-1317 DOI: 10.11834/jig.240447.
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相关作者

Huo Yiru 石家庄铁道大学信息科学与技术学院;河北省电磁环境效应与信息处理重点实验室
Feng Jun 石家庄铁道大学信息科学与技术学院;河北省电磁环境效应与信息处理重点实验室
Liu Na 石家庄铁道大学信息科学与技术学院;河北省电磁环境效应与信息处理重点实验室
Shi Yichen 上海交通大学电子信息与电气工程学院
Yin Mengying 河北医科大学第一医院智慧医院建设部
Wang Miao 复旦大学计算机科学技术学院
Huang Zhizhong 复旦大学计算机科学技术学院
He Huiguang 中国科学院自动化研究所

相关机构

School of Computer Science,Fudan University
Institute of Automation, Chinese Academy of Sciences
School of Information and Communication Engineering, Dalian University of Technology
Institute of science and Technology for Brain-Inspired Intelligence, Fudan University
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