A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN-Reference-Cited by-同舟云学术

A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN

Author:

Tiago Cristiana¹^ORCID,Gilbert Andrew²,Beela Ahmed Salem³,Aase Svein Arne²,Snare Sten Roar²,Sprem Jurica²,McLeod Kristin²^ORCID

Affiliation:

1. Department of Informatics, University of Oslo, Oslo, Norway

2. GE Vingmed Ultrasound, GE Healthcare, Horten, Norway

3. CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands

Funder

European Union’s Horizon 2020 Research and Innovation Programme through the Marie-Skłodowska Curie Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference38 articles.

2. PyTorch: An imperative style, high-performance deep learning library;paszke;arXiv 1912 01703,2019

3. 3D U-Net: Learning dense volumetric segmentation from sparse annotation;çiçek;arXiv 1606 06650,2016

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