arXiv · cs.AI · Bo Gou, Jicheng Zhang, Jianlong Xiong, Tao He, Hai Wu, Bentian Liu, Yijiao Wang, Yu Zhang, Yujia Yang, Yun Dai, Wei Liu, Jian Liu, Jie Wang · 9 小时前模型评分40
EV9V：带不确定性引导视图分类的超声心动图视频基准
EV9V: An Echocardiographic Video Benchmark with Uncertainty Guided View Classification
导读
研究者发布超声心动图九视图视频数据集 EV9V，含 5,138 段视频、910,579 帧、9 个标准视图，为目前公开规模最大的超声心动图视频数据集。同时提出时空融合模型（STFM，Spatio-Temporal Fusion Model），用不确定性感知学习采样代表性片段并在推理时做证据融合，以应对帧质量差异。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学
事件类型：研究发布
证据摘录
- “To address these challenges, we release the Echocardiographic Videos of Nine Views (EV9V) dataset, comprising 5,138 videos, 910,579 frames, and 9 standard views, which is, to the best of our knowledge, the largest openly released echocardiography video dataset.”
- “The code is released at this https URL and the EV9V dataset is available at this https URL .”
来源：arXiv · cs.AI · arxiv.org