Deep learning for segmentation using an open large-scale dataset in 2D echocardiography
Delineation of the cardiac structures from 2D echocardiographic images is a common
clinical task to establish a diagnosis. Over the past decades, the automation of this task has …
clinical task to establish a diagnosis. Over the past decades, the automation of this task has …
A deep learning approach for assessment of regional wall motion abnormality from echocardiographic images
K Kusunose, T Abe, A Haga, D Fukuda, H Yamada… - Cardiovascular …, 2020 - jacc.org
Objectives This study investigated whether a deep convolutional neural network (DCNN)
could provide improved detection of regional wall motion abnormalities (RWMAs) and …
could provide improved detection of regional wall motion abnormalities (RWMAs) and …
How to standardize the measurement of left ventricular ejection fraction
K Kusunose, R Zheng, H Yamada, M Sata - Journal of Medical Ultrasonics, 2022 - Springer
Despite recent advances in imaging for myocardial deformation, left ventricular ejection
fraction (LVEF) is still the most important index for systolic function in daily practice. Its role in …
fraction (LVEF) is still the most important index for systolic function in daily practice. Its role in …
[HTML][HTML] The role of automated 3D echocardiography for left ventricular ejection fraction assessment
E Spitzer, B Ren, F Zijlstra, NM Van Mieghem… - Cardiac failure …, 2017 - ncbi.nlm.nih.gov
Ejection fraction is one of the most powerful determinants of prognosis and is a crucial
parameter for the determination of cardiovascular therapies in conditions such as heart …
parameter for the determination of cardiovascular therapies in conditions such as heart …
Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography
Real-time 3D Echocardiography (RT3DE) has been proven to be an accurate tool for left
ventricular (LV) volume assessment. However, identification of the LV endocardium remains …
ventricular (LV) volume assessment. However, identification of the LV endocardium remains …
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis
Multiview based learning has generally returned dividends in performance because
additional information can be extracted for the representation of the diversity of different …
additional information can be extracted for the representation of the diversity of different …
Deep atlas network for efficient 3D left ventricle segmentation on echocardiography
We proposed a novel efficient method for 3D left ventricle (LV) segmentation on
echocardiography, which is important for cardiac disease diagnosis. The proposed method …
echocardiography, which is important for cardiac disease diagnosis. The proposed method …
Fast and fully automatic left ventricular segmentation and tracking in echocardiography using shape-based b-spline explicit active surfaces
Cardiac volume/function assessment remains a critical step in daily cardiology, and 3-D
ultrasound plays an increasingly important role. Fully automatic left ventricular segmentation …
ultrasound plays an increasingly important role. Fully automatic left ventricular segmentation …
Echocardiographic image multi‐structure segmentation using Cardiac‐SegNet
Purpose Cardiac boundary segmentation of echocardiographic images is important for
cardiac function assessment and disease diagnosis. However, it is challenging to segment …
cardiac function assessment and disease diagnosis. However, it is challenging to segment …
VoxelAtlasGAN: 3D left ventricle segmentation on echocardiography with atlas guided generation and voxel-to-voxel discrimination
Abstract 3D left ventricle (LV) segmentation on echocardiography is very important for
diagnosis and treatment of cardiac disease. It is not only because of that echocardiography …
diagnosis and treatment of cardiac disease. It is not only because of that echocardiography …