EchoNet-Pediatric

Pediatric echocardiography, or cardiac ultrasound, is the most widely used and readily available imaging modality to assess and manage congenital and acquired heart disease in children. Echocardiography is portable, efficient, and non-invasive, while still providing high quality imaging, making it the foremost frontline diagnostic tool in the United States for cardiac disease. Assessment of left ventricular function is of paramount importance in monitoring disease progression and targeting treatment for a wide range of pediatric diseases, including patients with cancer receiving chemotherapy, arrythmia management, heart failure, post-surgical ventricular function, genetic abnormalities, and acquired heart disease. In addition to our deep learning model, we introduce a new large video dataset of echocardiograms for computer vision research. The EchoNet-Peds database includes 7,643 labeled echocardiogram videos and human expert annotations (measurements, tracings, and calculations) to provide a baseline to study cardiac motion and chamber sizes. The database includes patients ranging from 0-18 years (43% female) with a wide range of sizes.儿科超声心动图（pediatric echocardiography），又称心脏超声，是当前临床应用最广泛、获取最便捷的影像学检查手段，用于评估与管理儿童先天性及获得性心脏疾病。超声心动图兼具便携、高效、无创的优势，同时可输出高质量成像结果，因此成为美国心脏疾病诊疗的一线首选工具。左心室功能评估对于监测多种儿科疾病的病情进展、制定靶向治疗方案至关重要，适用场景包括接受化疗的癌症患者、心律失常管理、心力衰竭、术后心室功能评估、遗传异常以及各类获得性心脏疾病。除本研究开发的深度学习模型外，我们还面向计算机视觉研究任务，发布了一款全新的大型超声心动图视频数据集。EchoNet-Peds数据库包含7643段标注完成的超声心动图视频，以及由专业医师完成的人工标注（含测量数据、轮廓描记与计算结果），可为心脏运动与心腔尺寸的相关研究提供基准参照。该数据库的研究对象为0至18岁的儿童及青少年（女性占比43%），群体覆盖了多种身体状况与病情程度。

搜集汇总

背景与挑战

背景概述

EchoNet-Pediatric是一个大型儿科超声心动图视频数据集，包含7,643个带标签的视频和人类专家注释，用于计算机视觉研究，重点关注左心室功能评估。数据集覆盖0-18岁患者（43%为女性），涉及多种儿科心脏疾病，为研究心脏运动和心室大小提供了基准。