Segmentation of left atrium using CT images and a deep learning model-Reference-Cited by-同舟云学术

Segmentation of left atrium using CT images and a deep learning model

Published:2022-07-11 Issue: Volume: Page:
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Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Grigoriadis Grigoris I¹,Zaridis Dimitrios¹,Pezoulas Vaseilios C.¹,Nikopoulos Sotirios²,Sakellarios Antonis I.¹,Tachos Nikolaos S.¹,Naka Katerina K.²,Michalis Lampros K.²,Fotiadis Dimitrios I.¹

Affiliation:

1. Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering, University of Ioannina,Ioannina,Greece,GR45110

2. School of Health Sciences, University of Ioannina,Michaelidion Cardiac Center,Department of Cardiology in the Faculty of Medicine,Ioannina,Greece,GR45110

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871623.pdf?arnumber=9871623

Reference11 articles.

1. Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks

2. Thrombogenic and Arrhythmogenic Roles of the Left Atrial Appendage in Atrial Fibrillation

3. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

4. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;Lecture Notes in Computer Science,2015

5. Comparison of three U-Net family architectures for left ventricular myocardial wall automatic segmentation

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