The survival and still-alive variables, when taken together, indicate whether a patient survived for at least one year following the heart attack.

27 февр. 1989 г. · Dataset Information. Additional Information. All the patients suffered heart attacks at some point in the past. Some are ...

The Tufts Medical Echocardiogram Dataset (TMED) is a clinically-motivated benchmark dataset for computer vision and machine learning from limited labeled data.

The dataset contains 10,030 apical-4-chamber echocardiography videos from individuals who underwent imaging between 2016 and 2018 as part of routine clinical ...

EchoNet-Dynamic is a dataset of over 10k echocardiogram, or cardiac ultrasound, videos from unique patients at Stanford University Medical Center.

About Dataset. All the patients suffered heart attacks at some point in the past. Some are still alive and some are not. The survival and still-alive variables, ...

The RVENet dataset was primarily designed to enable the training and evaluation of deep learning models that predict RVEF from 2D echocardiographic videos. The ...

The EchoNet-Dynamic database includes 10,030 labeled echocardiogram videos and human expert annotations (measurements, tracings, and calculations) to provide a ...

21 июл. 2023 г. · The dataset contains a subset of the available echocardiograms recorded between 2017 - 2019 from patients in the MIMIC-IV Clinical Database.

(2023). MITEA: A dataset for segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging .