肝脏超声造影与人工智能:一种基于深度典型相关分析和多核学习的肝肿瘤超声造影定性分类方法
The CEUS-based diagnosis is more complex than B-mode US imaging. The detection, localization and diagnosis of liver cancer is a time-consuming procedure with series of tasks. The complex procedure requires expert radiologists, which limits the wide application of CEUS .US-based CAD for tumor diseases provides an effective decision support and second opinion tool for radiologists. The CEUS-based CAD has attracted considerable attention. Since all the images in a CEUS video should be used to generate the TIC, the TIC-based feature extraction algorithms usually have high computational complexity. An expert radiologist can give accurate diagnosis based on typical CEUS images from three phases. Although three CEUS images are selected from three typical phases,they have correlation between each other.
肝肿瘤 超声造影 深度典型相关分析 多核学习
徐辉雄 王丹 郭乐杭 钱奕奕 施俊
上海市第十人民医院
国内会议
2018海峡两岸医药卫生交流与合作会议暨第十届海峡两岸超声医学高端论坛
厦门
中文
513-514
2018-05-04（万方平台首次上网日期，不代表论文的发表时间）