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[基于多分辨率特征融合和上下文信息的胃癌复发预测]

Hongyu Zhou1,2, Haibo Tao3, Feiyue Xue1,2

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|October 27, 2024
PubMed
概括

这项研究引入了一种新的三阶段方法,用于使用病理图像预测胃癌复发. 该方法增强了特征提取和融合,显著提高了预测准确性和AUC.

关键词:
背景信息 背景信息 背景信息深度学习是一种深度学习.功能融合的特点是:胃癌的病理图像 胃癌的病理图像预测复发的预测.

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