Left Ventricle Segmentation Based on a Dilated Dense Convolutional Networks

Left Ventricle Segmentation Based on a Dilated Dense Convolutional Networks

The automatic segmentation of the left ventricle in magnetic resonance (MR) images is the basis of computer-aided diagnosis systems. To accurately extract the endocardium and epicardium of the left ventricle from MR images, a method based on a dilated dense convolutional network (DDCN) has been prop...

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Bibliographic Details
Main Authors: Shengzhou Xu, Shiyu Cheng, Xiangde Min, Ning Pan, Huaifei Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Segmentation
left ventricle
magnetic resonance image
dilated dense convolutional network
Online Access:https://ieeexplore.ieee.org/document/9272288/

Internet

https://ieeexplore.ieee.org/document/9272288/

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