Real-time echocardiography image analysis and quantification of cardiac indices

Author:

Zamzmi GhadaORCID,Rajaraman Sivaramakrishnan,Hsu Li-Yueh,Sachdev Vandana,Antani Sameer

Funder

U.S. National Library of Medicine

NIH Clinical Center

National Institutes of Health

National Heart, Lung, and Blood Institute

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference77 articles.

1. Automatic quality assessment of apical four-chamber echocardiograms using deep convolutional neural networks;Abdi,2017

2. Automatic view classification of echocardiograms using histogram of oriented gradients;Agarwal,2013

3. Echocardiographic image segmentation using deep res-u network;Ali;Biomedical Signal Processing and Control,2021

4. Segmentation of left ventricle in 2d echocardiography using deep learning;Azarmehr,2019

5. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE transactions on pattern analysis and machine intelligence,2017

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