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一般多场景超声图像瘤诊断方法基于不受监督的域调整

Lin Fan1, Xun Gong1, Ying Guo2

  • 1School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, P.R. China; Engineering Research Center of Sustainable Urban Intelligent Transportation, Ministry of Education, Chengdu 611756, P.R. China; National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 611756, P.R. China; Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 611756, P.R. China.

Ultrasound in medicine & biology
|August 2, 2023
PubMed
概括

一个新的多领域的二维特征选择网络 (FSN) 改善了超声波图像的计算机辅助诊断 (CAD). 这种方法提高了不同医学领域的分类准确性,解决了当前跨领域方法的局限性.

关键词:
分类 分类 分类 分类.域名适应领域适应多域名多域名超声图像诊断 超声图像诊断 超声图像诊断 超声图像诊断

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