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基于Tri-training的改进算法在辅助诊断等医学领域的应用进展

Application progress of improved algorithm based on Tri-training in medical fields such as auxiliary diagnosis

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【作者】 乔桢; 戚红; 罗曦;

【Author】 QIAO Zhen;QI Hong;LUO Xi;School of Basic Medical Sciences,Tianjin Medical University;Center for Technology Transfer,Tianjin Medical University;Information Centre,Tianjin Medical University;

【机构】 天津医科大学基础医学院; 天津医科大学科技成果转化中心; 天津医科大学信息中心;

【摘要】 Tri-training算法是机器学习算法中的一种半监督学习算法,该算法自提出以来,不断被深入分析,其改进算法也日益丰富。介绍了Tri-training算法的原理及步骤,并以此为基础,对其应用于辅助诊断等医学领域的改进算法做了分类,分别进行系统介绍分析。对Tri-training改进算法在医学领域的未来发展方向予以展望。

【Abstract】 The Tri-training algorithm is a type of semi-supervised learning algorithm in machine learning algorithms. Since its proposal,improvements and variants based on Tri-training have become increasingly diverse. This paper introduces the principles and procedural steps of the Tri-training algorithm,and based on this,analyzes its application status in the field of medical auxiliary diagnosis. An outlook on the future development directions of the improved Tri-training algorithm in the medical field is presented.

【基金】 天津市教委科研计划项目“基于大数据的集成学习在医学诊断中的应用研究”(2020KJ199)
  • 【文献出处】 天津科技 ,Tianjin Science & Technology , 编辑部邮箱 ,2025年09期
  • 【分类号】R318;TP181
  • 【下载频次】12
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