Echonet-Dynamic

该数据集包含大量心脏超声心动图序列，特指心尖四腔视图，并在心室收缩末期与舒张末期的框架上对左心室进行了分割。这些数据由112x112像素的灰度图像组成，分为训练集、验证集和测试集。该数据集规模宏大，包含10,030个序列，其任务是进行超声心动图的分割。

This dataset includes a large corpus of cardiac echocardiography sequences, specifically targeting the apical four-chamber view. Left ventricular segmentation annotations are provided on the end-systolic and end-diastolic frames of these sequences. The data comprises 112×112 pixel grayscale images, and is partitioned into training, validation, and test sets. This large-scale dataset contains a total of 10,030 sequences, with the core task being echocardiographic segmentation.

搜集汇总

背景与挑战

背景概述

EchoNet-Dynamic是一个包含10,030个标记心动图视频的大型数据集，用于医学机器学习和心脏功能研究。数据集提供了专家注释的临床测量数据，包括射血分数和左心室体积，并经过标准化处理，适用于视频分类和心脏功能评估的研究。