AwCPM-Net: A Collaborative Constraint GAN for 3D Coronary Artery Reconstruction in Intravascular Ultrasound Sequences

Author:

Xia Menghua1ORCID,Yang Hongbo2ORCID,Huang Yi1ORCID,Qu Yanan2,Guo Yi1ORCID,Zhou Guohui1ORCID,Zhang Feng2,Wang Yuanyuan1ORCID

Affiliation:

1. Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai, China

2. Department of Cardiology, Zhongshan Hospital, Fudan University. Shanghai Institute of Cardiovascular Diseases, Shanghai, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference41 articles.

1. Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

2. Spatial transformer networks;jaderberg;Proc Adv Neural Inf Process Syst,2015

3. Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images

4. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

5. 3D U-Net: Learning dense volumetric segmentation from sparse annotation;çiçek;Proc Int Conf Med Image Comput Comput Assist Interv,2016

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