dynamic:EchoNet-Dynamic是用于评估超声心动图视频中心脏功能的深度学习模型-源码

上传者: 42140710 | 上传时间: 2021-09-01 08:49:35 | 文件大小: 11.31MB | 文件类型: ZIP
EchoNet-Dynamic: 可解释的AI用于逐次跳动的心脏功能评估 EchoNet-Dynamic是一种端到端的逐点深度学习模型,用于 左心室的语义分割 通过整个视频或子采样片段预测射血分数,以及 评估射血分数降低的心肌病。 有关更多详细信息,请参见随附的论文, David Ouyang,Bryan He,Amirata Ghorbani,Neal Yuan,Joseph Ebinger,Curt P.Langlotz,Paul A.Heidenreich,Robert A.Harrington,David H.Liang,Euan A.Ashley和James Y.Zou。 自然,2020年3月25日 数据集 我们共享一组已确定身份的10,030张超声心动图图像,这些图像用于训练EchoNet-Dynamic。 使用OpenCV和pydicom对这些图像进行预处理,包括取消识别

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