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The EchoNet-Dynamic database includes 10,030 labeled echocardiogram videos and human expert annotations (measurements, tracings, and calculations) to provide a baseline to study cardiac motion and chamber sizes.
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www.echocardiographer.orgFor diseases ranging from heart failure to valvular heart diseases, echocardiography is both necessary and sufficient to diagnose many cardiovascular diseases. In addition to our deep learning model, we introduce a new large video dataset of echocardiograms for computer vision research.
stanfordaimi.azurewebsites.netEchoNet-Dynamic is a dataset of over 10k echocardiogram, or cardiac ultrasound, videos from unique patients at Stanford University Medical Center.
aimi.stanford.eduIn addition to our deep learning model, we introduce a new large video dataset of echocardiograms for computer vision research. The EchoNet-Dynamic database includes 10,030 labeled echocardiogram videos and human expert annotations (measurements, tracings, and calculations) to provide a baseline to study cardiac motion and chamber sizes.
stanford.redivis.comThe EchoNet-LVH dataset includes 12,000 labeled echocardiogram videos and human expert annotations (measurements, tracings, and calculations) to provide a baseline to study cardiac chamber size and wall thickness.
aimi.stanford.eduMITEA (MR-informed Three-dimensional Echocardiography Analysis) consists of 134 cases of 3D echocardiography images with labels. Each case has a pair of scan and re-scan images.
www.cardiacatlas.orgEvery image in this dataset is a 2D TTE image stored at 112x112 pixel resolution in PNG format. In TMED-2, we used metadata available in the raw DICOM files to ensure only the 2D TTE images from each study are included (filtering out doppler images, m-mode images, and colorflow images).
tmed.cs.tufts.eduAn online platform unityimaging.net to enable multiple experts to collaboratively provide labels for cardiac images. The largest (currently > 7500 image) open-access of expert labelled echocardiographic images for neural network development.
data.unityimaging.netIn addition to our deep learning model, we introduce a new large video dataset of echocardiograms (parasternal long axis view) for computer vision research.
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