DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation

Author:

Dong ShunjieORCID,Pan Zixuan,Fu YuORCID,Yang Qianqian,Gao Yuanxue,Yu Tianbai,Shi Yiyu,Zhuo Cheng

Funder

National Natural Science Foundation of China

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

Reference53 articles.

1. An exploration of 2D and 3D deep learning techniques for cardiac mr image segmentation;Baumgartner,2017

2. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?;Bernard;IEEE Trans Med Imaging,2018

3. Introduction to noninvasive cardiac imaging;Blankstein;Circulation,2012

4. Data uncertainty learning in face recognition;Chang,2020

5. Combining fully convolutional and recurrent neural networks for 3d biomedical image segmentation;Chen,2016

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