Bi-DCNet: Bilateral Network with Dilated Convolutions for Left Ventricle Segmentation
Left ventricular segmentation is a vital and necessary procedure for assessing cardiac systolic and diastolic function, while echocardiography is an indispensable diagnostic technique that enables cardiac functionality assessment. However, manually labeling the left ventricular region on echocardiog...
Main Authors: | Zi Ye, Yogan Jaya Kumar, Fengyan Song, Guanxi Li, Suyu Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Life |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1729/13/4/1040 |
Similar Items
-
Left Ventricle Segmentation Based on a Dilated Dense Convolutional Networks
by: Shengzhou Xu, et al.
Published: (2020-01-01) -
ResDUnet: A Deep Learning-Based Left Ventricle Segmentation Method for Echocardiography
by: Alyaa Amer, et al.
Published: (2021-01-01) -
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality
by: Jonatan Contreras, et al.
Published: (2021-06-01) -
Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification
by: Feng Zhao, et al.
Published: (2021-08-01) -
Lung segmentation method with dilated convolution based on VGG-16 network
by: Lei Geng, et al.
Published: (2019-10-01)