Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography
Echocardiography is the commonest medical ultrasound examination, but automated
interpretation is challenging and hinges on correct recognition of the 'view'(imaging plane …
interpretation is challenging and hinges on correct recognition of the 'view'(imaging plane …
Fast and accurate view classification of echocardiograms using deep learning
Echocardiography is essential to cardiology. However, the need for human interpretation
has limited echocardiography's full potential for precision medicine. Deep learning is an …
has limited echocardiography's full potential for precision medicine. Deep learning is an …
Designing lightweight deep learning models for echocardiography view classification
Transthoracic echocardiography (echo) is the most common imaging modality for diagnosis
of cardiac conditions. Echo is acquired from a multitude of views, each of which distinctly …
of cardiac conditions. Echo is acquired from a multitude of views, each of which distinctly …
A fused deep learning architecture for viewpoint classification of echocardiography
X Gao, W Li, M Loomes, L Wang - Information Fusion, 2017 - Elsevier
This study extends the state of the art of deep learning convolutional neural network (CNN)
to the classification of video images of echocardiography, aiming at assisting clinicians in …
to the classification of video images of echocardiography, aiming at assisting clinicians in …
[PDF][PDF] Echonet-dynamic: a large new cardiac motion video data resource for medical machine learning
Abstract Machine learning analysis of biomedical images has seen significant recent
advances. In contrast, there has been much less work on medical videos, despite the fact …
advances. In contrast, there has been much less work on medical videos, despite the fact …
Learning spatio-temporal aggregation for fetal heart analysis in ultrasound video
We investigate recent deep convolutional architectures for automatically describing multiple
clinically relevant properties of the fetal heart in Ultrasound (US) videos, with the goal of …
clinically relevant properties of the fetal heart in Ultrasound (US) videos, with the goal of …
Neural architecture search of echocardiography view classifiers
Purpose: Echocardiography is the most commonly used modality for assessing the heart in
clinical practice. In an echocardiographic exam, an ultrasound probe samples the heart from …
clinical practice. In an echocardiographic exam, an ultrasound probe samples the heart from …
Real-time standard view classification in transthoracic echocardiography using convolutional neural networks
Transthoracic echocardiography examinations are usually performed according to a
protocol comprising different probe postures providing standard views of the heart. These …
protocol comprising different probe postures providing standard views of the heart. These …
Clinically feasible and accurate view classification of echocardiographic images using deep learning
K Kusunose, A Haga, M Inoue, D Fukuda, H Yamada… - Biomolecules, 2020 - mdpi.com
A proper echocardiographic study requires several video clips recorded from different
acquisition angles for observation of the complex cardiac anatomy. However, these video …
acquisition angles for observation of the complex cardiac anatomy. However, these video …
Automated recognition of regional wall motion abnormalities through deep neural network interpretation of transthoracic echocardiography
Background: Automated interpretation of echocardiography by deep neural networks could
support clinical reporting and improve efficiency. Whereas previous studies have evaluated …
support clinical reporting and improve efficiency. Whereas previous studies have evaluated …