Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI

Author:

Lin Hui1,Tapia Santiago Lopez1,Schiffers Florian1,Wu Yunan1,Yang Huili1,Iakovlev Nikolay1,Allen Bradley D.1,Avery Ryan1,Lee Daniel C.1,Kim Daniel1,Katsaggelos Aggelos K.1

Affiliation:

1. Northwestern University

Funder

National Institutes of Health

American Heart Association

Publisher

IEEE

Reference22 articles.

1. Automatic 3D Atrial Segmentation from GE-MRIs Using Volumetric Fully Convolutional Networks

2. Two-stage 2d cnn for automatic atrial segmentation from lge-mris;jamart;Statistical Atlases and Computational Models of the Heart Multi-Sequence CMR Segmentation CRT-EPiggy and LV Full Quantification Challenges 10th International Workshop STACOM 2019 Held in Conjunction with MICCAI 2019,2019

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

4. Combating uncertainty with novel losses for automatic left atrium segmentation;yang;Statistical Atlases and Computational Models of the Heart Atrial Segmentation and LV Quantification Challenges 9th International Workshop STACOM 2018 Held in Conjunction with MICCAI2018,2018

5. UNeXt: MLP-Based Rapid Medical Image Segmentation Network

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